CONTEXTUAL INFORMATIVENESS · SEMANTIC SUPPORT · CONTEXT CLUES · WORD LEARNING · LEXICAL INFERENCE · DEFINITIONS · EXAMPLES · CONTRAST
Contextual informativeness is the degree to which surrounding language provides useful evidence about an unfamiliar word’s meaning. A highly informative context can narrow meaning sharply through definitions, examples, contrasts, causes, consequences or explanatory detail. A weak context may contain the word without teaching much about it at all.
This is different from contextual predictability. A context can make a word highly predictable without explaining its meaning, and it can explain a word’s meaning even when the exact lexical form could not have been predicted. Informativeness is about semantic evidence, not simply next-word probability.
This guide explains semantic contextual support, definition placement, examples, contrast, paraphrase, world knowledge, syntax, morphology, misleading contexts, inference error and learner background knowledge. Existing eduKateSG Context Clues, Contextual Diversity and Predictability owners remain untouched.
A sentence does not teach a word merely because the word appears inside it.
2. Contextual informativeness
Contextual informativeness is the degree to which surrounding language provides useful evidence about an unfamiliar word’s meaning. Highly informative contexts constrain the likely meaning; weak contexts leave many interpretations possible.
The practical question is whether the surrounding language reduces uncertainty about the target’s meaning enough to support a justified inference rather than a guess.
3. Semantic support
Semantic support comes from definitions, explanations, examples, consequences, contrasts, causes, category information and world knowledge embedded in the sentence or discourse.
The practical question is whether the surrounding language reduces uncertainty about the target’s meaning enough to support a justified inference rather than a guess.
4. Informativeness versus predictability
A word can be predictable without its meaning being inferable, and a context can teach meaning even when the exact word is not predictable. Predictability concerns the next form; informativeness concerns semantic evidence.
The practical question is whether the surrounding language reduces uncertainty about the target’s meaning enough to support a justified inference rather than a guess.
5. Informativeness versus contextual diversity
Contextual diversity asks how varied the encounters are. Informativeness asks how much each encounter actually reveals about meaning. A learner needs both useful evidence and eventual variation.
The practical question is whether the surrounding language reduces uncertainty about the target’s meaning enough to support a justified inference rather than a guess.
6. Explicit definitions
A direct definition provides strong semantic support and reduces inference error, though it may produce less active inferencing than trial-and-error learning.
The practical question is whether the surrounding language reduces uncertainty about the target’s meaning enough to support a justified inference rather than a guess.
7. Appositive definitions
Phrases such as ‘an arboretum, a garden devoted to trees’ embed concise definitions inside natural text.
The practical question is whether the surrounding language reduces uncertainty about the target’s meaning enough to support a justified inference rather than a guess.
8. Examples
Examples can reveal category membership, typical use and boundaries, especially when several examples converge.
The practical question is whether the surrounding language reduces uncertainty about the target’s meaning enough to support a justified inference rather than a guess.
9. Contrast
Contrasts narrow meaning by showing what a word is not. Antonyms and juxtaposition can be especially informative.
The practical question is whether the surrounding language reduces uncertainty about the target’s meaning enough to support a justified inference rather than a guess.
10. Cause and consequence
If a target causes or results from a clearly described event, context can reveal its functional meaning.
The practical question is whether the surrounding language reduces uncertainty about the target’s meaning enough to support a justified inference rather than a guess.
11. Synonyms and paraphrase
Nearby paraphrases can support meaning, but imperfect synonyms can also oversimplify.
The practical question is whether the surrounding language reduces uncertainty about the target’s meaning enough to support a justified inference rather than a guess.
12. World knowledge
Readers combine textual clues with knowledge of situations, objects and events. Informativeness therefore depends partly on what the learner already knows.
The practical question is whether the surrounding language reduces uncertainty about the target’s meaning enough to support a justified inference rather than a guess.
13. Syntax
Grammatical structure narrows word class and argument role, reducing the space of possible meanings.
Contextual informativeness should be judged relative to the learner. A clue that depends on unknown surrounding vocabulary is not informative for that learner even if an expert finds the sentence transparent.
14. Morphology
Roots and affixes can combine with context to strengthen inference. Morphological clues are especially useful when they agree with sentence meaning.
Contextual informativeness should be judged relative to the learner. A clue that depends on unknown surrounding vocabulary is not informative for that learner even if an expert finds the sentence transparent.
15. Multiple clues
The strongest contexts often contain several converging cues—syntax, semantics, morphology and world knowledge—rather than one clue alone.
Contextual informativeness should be judged relative to the learner. A clue that depends on unknown surrounding vocabulary is not informative for that learner even if an expert finds the sentence transparent.
16. Misleading context
Some contexts support a plausible but wrong interpretation. Learners need verification rather than assuming every inference is correct.
Contextual informativeness should be judged relative to the learner. A clue that depends on unknown surrounding vocabulary is not informative for that learner even if an expert finds the sentence transparent.
17. Neutral context
A sentence can be perfectly grammatical but semantically uninformative: ‘She saw the dax on Tuesday.’ Almost any object meaning fits.
Contextual informativeness should be judged relative to the learner. A clue that depends on unknown surrounding vocabulary is not informative for that learner even if an expert finds the sentence transparent.
18. Inference burden
Highly informative contexts reduce ambiguity but can be linguistically complex. A context is only useful if the learner can understand the surrounding language.
Contextual informativeness should be judged relative to the learner. A clue that depends on unknown surrounding vocabulary is not informative for that learner even if an expert finds the sentence transparent.
19. Learner knowledge
The same sentence may be informative to an advanced reader and opaque to a beginner because background vocabulary differs.
Contextual informativeness should be judged relative to the learner. A clue that depends on unknown surrounding vocabulary is not informative for that learner even if an expert finds the sentence transparent.
20. Delayed learning
A good inference can improve memory, but incorrect inference can also persist. Feedback and later encounters matter.
Contextual informativeness should be judged relative to the learner. A clue that depends on unknown surrounding vocabulary is not informative for that learner even if an expert finds the sentence transparent.
21. Teaching
Begin with semantically supportive contexts for difficult targets, verify the inferred meaning, then broaden into less explicit and more varied contexts.
Contextual informativeness should be judged relative to the learner. A clue that depends on unknown surrounding vocabulary is not informative for that learner even if an expert finds the sentence transparent.
22. AI-era context design
AI can generate example sentences, but effective teaching requires evaluating whether those sentences actually constrain meaning rather than merely contain the target.
Contextual informativeness should be judged relative to the learner. A clue that depends on unknown surrounding vocabulary is not informative for that learner even if an expert finds the sentence transparent.
23. Informativeness laboratory — Cases 1–20
1. glade
Context: The glade, an open space surrounded by trees, was filled with sunlight. Main clue: direct definition. Informativeness: high.
Inference test: hide the target and ask what meaning category the blank must express. The context should justify specific semantic features rather than invite unrestricted guessing.
Evidence test: underline the exact words that support the inference. If the learner cannot point to evidence, the conclusion may come from prior knowledge rather than the sentence.
Alternative test: generate two competing meanings and ask which the context rules out. Informative context narrows alternatives.
Verification: reveal the true meaning and compare it with the inference. Correct any over-narrow or over-broad interpretation immediately.
2. arboretum
Context: The arboretum, a garden where many kinds of trees are grown for study, opened in spring. Main clue: appositive definition. Informativeness: high.
Inference test: hide the target and ask what meaning category the blank must express. The context should justify specific semantic features rather than invite unrestricted guessing.
Evidence test: underline the exact words that support the inference. If the learner cannot point to evidence, the conclusion may come from prior knowledge rather than the sentence.
Alternative test: generate two competing meanings and ask which the context rules out. Informative context narrows alternatives.
Verification: reveal the true meaning and compare it with the inference. Correct any over-narrow or over-broad interpretation immediately.
3. famished
Context: The child was famished after missing breakfast and lunch, so he ate two bowls of rice. Main clue: cause/consequence. Informativeness: high.
Inference test: hide the target and ask what meaning category the blank must express. The context should justify specific semantic features rather than invite unrestricted guessing.
Evidence test: underline the exact words that support the inference. If the learner cannot point to evidence, the conclusion may come from prior knowledge rather than the sentence.
Alternative test: generate two competing meanings and ask which the context rules out. Informative context narrows alternatives.
Verification: reveal the true meaning and compare it with the inference. Correct any over-narrow or over-broad interpretation immediately.
4. gregarious
Context: Unlike his gregarious sister, Amir was quiet and avoided large groups. Main clue: contrast. Informativeness: high.
Inference test: hide the target and ask what meaning category the blank must express. The context should justify specific semantic features rather than invite unrestricted guessing.
Evidence test: underline the exact words that support the inference. If the learner cannot point to evidence, the conclusion may come from prior knowledge rather than the sentence.
Alternative test: generate two competing meanings and ask which the context rules out. Informative context narrows alternatives.
Verification: reveal the true meaning and compare it with the inference. Correct any over-narrow or over-broad interpretation immediately.
5. translucent
Context: The glass was translucent: light passed through it, but objects behind it looked blurred. Main clue: explanation + contrast. Informativeness: high.
Inference test: hide the target and ask what meaning category the blank must express. The context should justify specific semantic features rather than invite unrestricted guessing.
Evidence test: underline the exact words that support the inference. If the learner cannot point to evidence, the conclusion may come from prior knowledge rather than the sentence.
Alternative test: generate two competing meanings and ask which the context rules out. Informative context narrows alternatives.
Verification: reveal the true meaning and compare it with the inference. Correct any over-narrow or over-broad interpretation immediately.
6. meticulous
Context: She was meticulous, checking every number twice and correcting tiny formatting errors. Main clue: behavioural examples. Informativeness: high.
Inference test: hide the target and ask what meaning category the blank must express. The context should justify specific semantic features rather than invite unrestricted guessing.
Evidence test: underline the exact words that support the inference. If the learner cannot point to evidence, the conclusion may come from prior knowledge rather than the sentence.
Alternative test: generate two competing meanings and ask which the context rules out. Informative context narrows alternatives.
Verification: reveal the true meaning and compare it with the inference. Correct any over-narrow or over-broad interpretation immediately.
7. equivocated
Context: The politician equivocated, giving vague answers instead of saying yes or no. Main clue: paraphrase. Informativeness: high.
Inference test: hide the target and ask what meaning category the blank must express. The context should justify specific semantic features rather than invite unrestricted guessing.
Evidence test: underline the exact words that support the inference. If the learner cannot point to evidence, the conclusion may come from prior knowledge rather than the sentence.
Alternative test: generate two competing meanings and ask which the context rules out. Informative context narrows alternatives.
Verification: reveal the true meaning and compare it with the inference. Correct any over-narrow or over-broad interpretation immediately.
8. arid
Context: The soil was arid after months without rain; cracks spread across the dry ground. Main clue: cause + examples. Informativeness: high.
Inference test: hide the target and ask what meaning category the blank must express. The context should justify specific semantic features rather than invite unrestricted guessing.
Evidence test: underline the exact words that support the inference. If the learner cannot point to evidence, the conclusion may come from prior knowledge rather than the sentence.
Alternative test: generate two competing meanings and ask which the context rules out. Informative context narrows alternatives.
Verification: reveal the true meaning and compare it with the inference. Correct any over-narrow or over-broad interpretation immediately.
9. nocturnal
Context: A nocturnal animal such as an owl is active mainly at night. Main clue: category + example. Informativeness: high.
Inference test: hide the target and ask what meaning category the blank must express. The context should justify specific semantic features rather than invite unrestricted guessing.
Evidence test: underline the exact words that support the inference. If the learner cannot point to evidence, the conclusion may come from prior knowledge rather than the sentence.
Alternative test: generate two competing meanings and ask which the context rules out. Informative context narrows alternatives.
Verification: reveal the true meaning and compare it with the inference. Correct any over-narrow or over-broad interpretation immediately.
10. remorse
Context: He felt remorse after realising that his lie had hurt his friend. Main clue: cause + emotion consequence. Informativeness: medium/high.
Inference test: hide the target and ask what meaning category the blank must express. The context should justify specific semantic features rather than invite unrestricted guessing.
Evidence test: underline the exact words that support the inference. If the learner cannot point to evidence, the conclusion may come from prior knowledge rather than the sentence.
Alternative test: generate two competing meanings and ask which the context rules out. Informative context narrows alternatives.
Verification: reveal the true meaning and compare it with the inference. Correct any over-narrow or over-broad interpretation immediately.
11. jubilant
Context: The crowd was jubilant, cheering, singing and waving flags after the victory. Main clue: examples. Informativeness: high.
Inference test: hide the target and ask what meaning category the blank must express. The context should justify specific semantic features rather than invite unrestricted guessing.
Evidence test: underline the exact words that support the inference. If the learner cannot point to evidence, the conclusion may come from prior knowledge rather than the sentence.
Alternative test: generate two competing meanings and ask which the context rules out. Informative context narrows alternatives.
Verification: reveal the true meaning and compare it with the inference. Correct any over-narrow or over-broad interpretation immediately.
12. alleviated
Context: The medicine alleviated the pain, making it less severe within minutes. Main clue: result + paraphrase. Informativeness: high.
Inference test: hide the target and ask what meaning category the blank must express. The context should justify specific semantic features rather than invite unrestricted guessing.
Evidence test: underline the exact words that support the inference. If the learner cannot point to evidence, the conclusion may come from prior knowledge rather than the sentence.
Alternative test: generate two competing meanings and ask which the context rules out. Informative context narrows alternatives.
Verification: reveal the true meaning and compare it with the inference. Correct any over-narrow or over-broad interpretation immediately.
13. circuitous
Context: The route was circuitous, winding through several villages instead of going directly to town. Main clue: contrast with directness. Informativeness: high.
Inference test: hide the target and ask what meaning category the blank must express. The context should justify specific semantic features rather than invite unrestricted guessing.
Evidence test: underline the exact words that support the inference. If the learner cannot point to evidence, the conclusion may come from prior knowledge rather than the sentence.
Alternative test: generate two competing meanings and ask which the context rules out. Informative context narrows alternatives.
Verification: reveal the true meaning and compare it with the inference. Correct any over-narrow or over-broad interpretation immediately.
14. concise
Context: The explanation was concise: it covered the main point in only two sentences. Main clue: example + outcome. Informativeness: high.
Inference test: hide the target and ask what meaning category the blank must express. The context should justify specific semantic features rather than invite unrestricted guessing.
Evidence test: underline the exact words that support the inference. If the learner cannot point to evidence, the conclusion may come from prior knowledge rather than the sentence.
Alternative test: generate two competing meanings and ask which the context rules out. Informative context narrows alternatives.
Verification: reveal the true meaning and compare it with the inference. Correct any over-narrow or over-broad interpretation immediately.
15. obsolete
Context: The machine was obsolete; nobody used it because newer technology had replaced it. Main clue: cause + contrast. Informativeness: high.
Inference test: hide the target and ask what meaning category the blank must express. The context should justify specific semantic features rather than invite unrestricted guessing.
Evidence test: underline the exact words that support the inference. If the learner cannot point to evidence, the conclusion may come from prior knowledge rather than the sentence.
Alternative test: generate two competing meanings and ask which the context rules out. Informative context narrows alternatives.
Verification: reveal the true meaning and compare it with the inference. Correct any over-narrow or over-broad interpretation immediately.
16. sarcastic
Context: Her tone was sarcastic—she said ‘Great job’ after he broke the vase. Main clue: example + pragmatic contrast. Informativeness: medium/high.
Inference test: hide the target and ask what meaning category the blank must express. The context should justify specific semantic features rather than invite unrestricted guessing.
Evidence test: underline the exact words that support the inference. If the learner cannot point to evidence, the conclusion may come from prior knowledge rather than the sentence.
Alternative test: generate two competing meanings and ask which the context rules out. Informative context narrows alternatives.
Verification: reveal the true meaning and compare it with the inference. Correct any over-narrow or over-broad interpretation immediately.
17. sparse
Context: The room was sparse, containing only a bed, a chair and a small table. Main clue: enumeration. Informativeness: high.
Inference test: hide the target and ask what meaning category the blank must express. The context should justify specific semantic features rather than invite unrestricted guessing.
Evidence test: underline the exact words that support the inference. If the learner cannot point to evidence, the conclusion may come from prior knowledge rather than the sentence.
Alternative test: generate two competing meanings and ask which the context rules out. Informative context narrows alternatives.
Verification: reveal the true meaning and compare it with the inference. Correct any over-narrow or over-broad interpretation immediately.
18. inconclusive
Context: The evidence was inconclusive, so the researchers could not decide which explanation was correct. Main clue: consequence. Informativeness: high.
Inference test: hide the target and ask what meaning category the blank must express. The context should justify specific semantic features rather than invite unrestricted guessing.
Evidence test: underline the exact words that support the inference. If the learner cannot point to evidence, the conclusion may come from prior knowledge rather than the sentence.
Alternative test: generate two competing meanings and ask which the context rules out. Informative context narrows alternatives.
Verification: reveal the true meaning and compare it with the inference. Correct any over-narrow or over-broad interpretation immediately.
19. reluctant
Context: The child was reluctant to enter the dark room and kept stepping backwards. Main clue: behaviour. Informativeness: medium/high.
Inference test: hide the target and ask what meaning category the blank must express. The context should justify specific semantic features rather than invite unrestricted guessing.
Evidence test: underline the exact words that support the inference. If the learner cannot point to evidence, the conclusion may come from prior knowledge rather than the sentence.
Alternative test: generate two competing meanings and ask which the context rules out. Informative context narrows alternatives.
Verification: reveal the true meaning and compare it with the inference. Correct any over-narrow or over-broad interpretation immediately.
20. peninsula
Context: A peninsula is land almost surrounded by water but connected to the mainland. Main clue: formal definition. Informativeness: high.
Inference test: hide the target and ask what meaning category the blank must express. The context should justify specific semantic features rather than invite unrestricted guessing.
Evidence test: underline the exact words that support the inference. If the learner cannot point to evidence, the conclusion may come from prior knowledge rather than the sentence.
Alternative test: generate two competing meanings and ask which the context rules out. Informative context narrows alternatives.
Verification: reveal the true meaning and compare it with the inference. Correct any over-narrow or over-broad interpretation immediately.
24. Informativeness laboratory — Cases 21–40
21. scaffolding
Context: The teacher used scaffolding: first she modelled the answer, then gave prompts, and finally removed the help. Main clue: process examples. Informativeness: high.
Support manipulation: remove the most informative phrase and see how many meanings become possible. This identifies the clue carrying the semantic load.
Syntax test: determine what word class or grammatical role the sentence supplies. Syntax rarely gives the full meaning but can reduce the candidate set.
World-knowledge test: identify assumptions the reader must already know. Context and background knowledge cooperate during inference.
Learning design: if the context is weak, add one concise explanation rather than multiple distracting clues.
22. anomalous
Context: The data were anomalous; unlike all the other readings, this value was far outside the normal range. Main clue: contrast with norm. Informativeness: high.
Support manipulation: remove the most informative phrase and see how many meanings become possible. This identifies the clue carrying the semantic load.
Syntax test: determine what word class or grammatical role the sentence supplies. Syntax rarely gives the full meaning but can reduce the candidate set.
World-knowledge test: identify assumptions the reader must already know. Context and background knowledge cooperate during inference.
Learning design: if the context is weak, add one concise explanation rather than multiple distracting clues.
23. precarious
Context: The bridge was precarious, swaying in the wind and supported by damaged ropes. Main clue: evidence/examples. Informativeness: high.
Support manipulation: remove the most informative phrase and see how many meanings become possible. This identifies the clue carrying the semantic load.
Syntax test: determine what word class or grammatical role the sentence supplies. Syntax rarely gives the full meaning but can reduce the candidate set.
World-knowledge test: identify assumptions the reader must already know. Context and background knowledge cooperate during inference.
Learning design: if the context is weak, add one concise explanation rather than multiple distracting clues.
24. evasive
Context: Her response was evasive; she changed the topic whenever the interviewer asked for details. Main clue: behavioural evidence. Informativeness: high.
Support manipulation: remove the most informative phrase and see how many meanings become possible. This identifies the clue carrying the semantic load.
Syntax test: determine what word class or grammatical role the sentence supplies. Syntax rarely gives the full meaning but can reduce the candidate set.
World-knowledge test: identify assumptions the reader must already know. Context and background knowledge cooperate during inference.
Learning design: if the context is weak, add one concise explanation rather than multiple distracting clues.
25. repealed
Context: The law was repealed, meaning it was officially cancelled and no longer applied. Main clue: explicit paraphrase. Informativeness: high.
Support manipulation: remove the most informative phrase and see how many meanings become possible. This identifies the clue carrying the semantic load.
Syntax test: determine what word class or grammatical role the sentence supplies. Syntax rarely gives the full meaning but can reduce the candidate set.
World-knowledge test: identify assumptions the reader must already know. Context and background knowledge cooperate during inference.
Learning design: if the context is weak, add one concise explanation rather than multiple distracting clues.
26. dilapidated
Context: The old building was dilapidated, with broken windows, leaking pipes and crumbling walls. Main clue: multiple examples. Informativeness: high.
Support manipulation: remove the most informative phrase and see how many meanings become possible. This identifies the clue carrying the semantic load.
Syntax test: determine what word class or grammatical role the sentence supplies. Syntax rarely gives the full meaning but can reduce the candidate set.
World-knowledge test: identify assumptions the reader must already know. Context and background knowledge cooperate during inference.
Learning design: if the context is weak, add one concise explanation rather than multiple distracting clues.
27. frugal
Context: He was frugal, comparing prices and repairing items instead of replacing them. Main clue: behavioural examples. Informativeness: medium/high.
Support manipulation: remove the most informative phrase and see how many meanings become possible. This identifies the clue carrying the semantic load.
Syntax test: determine what word class or grammatical role the sentence supplies. Syntax rarely gives the full meaning but can reduce the candidate set.
World-knowledge test: identify assumptions the reader must already know. Context and background knowledge cooperate during inference.
Learning design: if the context is weak, add one concise explanation rather than multiple distracting clues.
28. meandered
Context: The river meandered across the plain, curving repeatedly rather than flowing in a straight line. Main clue: description + contrast. Informativeness: high.
Support manipulation: remove the most informative phrase and see how many meanings become possible. This identifies the clue carrying the semantic load.
Syntax test: determine what word class or grammatical role the sentence supplies. Syntax rarely gives the full meaning but can reduce the candidate set.
World-knowledge test: identify assumptions the reader must already know. Context and background knowledge cooperate during inference.
Learning design: if the context is weak, add one concise explanation rather than multiple distracting clues.
29. endemic
Context: The species is endemic to the island; it occurs naturally nowhere else. Main clue: definition/paraphrase. Informativeness: high.
Support manipulation: remove the most informative phrase and see how many meanings become possible. This identifies the clue carrying the semantic load.
Syntax test: determine what word class or grammatical role the sentence supplies. Syntax rarely gives the full meaning but can reduce the candidate set.
World-knowledge test: identify assumptions the reader must already know. Context and background knowledge cooperate during inference.
Learning design: if the context is weak, add one concise explanation rather than multiple distracting clues.
30. lethargic
Context: The child was lethargic, moving slowly and showing little energy. Main clue: paraphrase + example. Informativeness: high.
Support manipulation: remove the most informative phrase and see how many meanings become possible. This identifies the clue carrying the semantic load.
Syntax test: determine what word class or grammatical role the sentence supplies. Syntax rarely gives the full meaning but can reduce the candidate set.
World-knowledge test: identify assumptions the reader must already know. Context and background knowledge cooperate during inference.
Learning design: if the context is weak, add one concise explanation rather than multiple distracting clues.
31. dax
Context: She saw the dax on Tuesday. Main clue: none. Informativeness: very low.
Support manipulation: remove the most informative phrase and see how many meanings become possible. This identifies the clue carrying the semantic load.
Syntax test: determine what word class or grammatical role the sentence supplies. Syntax rarely gives the full meaning but can reduce the candidate set.
World-knowledge test: identify assumptions the reader must already know. Context and background knowledge cooperate during inference.
Learning design: if the context is weak, add one concise explanation rather than multiple distracting clues.
32. dax
Context: They discussed the dax during lunch. Main clue: topic only. Informativeness: very low.
Support manipulation: remove the most informative phrase and see how many meanings become possible. This identifies the clue carrying the semantic load.
Syntax test: determine what word class or grammatical role the sentence supplies. Syntax rarely gives the full meaning but can reduce the candidate set.
World-knowledge test: identify assumptions the reader must already know. Context and background knowledge cooperate during inference.
Learning design: if the context is weak, add one concise explanation rather than multiple distracting clues.
33. dax
Context: The dax was interesting. Main clue: evaluative only. Informativeness: very low.
Support manipulation: remove the most informative phrase and see how many meanings become possible. This identifies the clue carrying the semantic load.
Syntax test: determine what word class or grammatical role the sentence supplies. Syntax rarely gives the full meaning but can reduce the candidate set.
World-knowledge test: identify assumptions the reader must already know. Context and background knowledge cooperate during inference.
Learning design: if the context is weak, add one concise explanation rather than multiple distracting clues.
34. dax
Context: He put the dax near the window. Main clue: syntactic/object cue only. Informativeness: low.
Support manipulation: remove the most informative phrase and see how many meanings become possible. This identifies the clue carrying the semantic load.
Syntax test: determine what word class or grammatical role the sentence supplies. Syntax rarely gives the full meaning but can reduce the candidate set.
World-knowledge test: identify assumptions the reader must already know. Context and background knowledge cooperate during inference.
Learning design: if the context is weak, add one concise explanation rather than multiple distracting clues.
35. dax
Context: The dax broke when it fell from the shelf. Main clue: physical-object clue. Informativeness: low/medium.
Support manipulation: remove the most informative phrase and see how many meanings become possible. This identifies the clue carrying the semantic load.
Syntax test: determine what word class or grammatical role the sentence supplies. Syntax rarely gives the full meaning but can reduce the candidate set.
World-knowledge test: identify assumptions the reader must already know. Context and background knowledge cooperate during inference.
Learning design: if the context is weak, add one concise explanation rather than multiple distracting clues.
36. dax
Context: She poured water into the dax. Main clue: container-function clue. Informativeness: medium.
Support manipulation: remove the most informative phrase and see how many meanings become possible. This identifies the clue carrying the semantic load.
Syntax test: determine what word class or grammatical role the sentence supplies. Syntax rarely gives the full meaning but can reduce the candidate set.
World-knowledge test: identify assumptions the reader must already know. Context and background knowledge cooperate during inference.
Learning design: if the context is weak, add one concise explanation rather than multiple distracting clues.
37. dax
Context: The dax was a narrow glass container used to measure liquid. Main clue: definition. Informativeness: high.
Support manipulation: remove the most informative phrase and see how many meanings become possible. This identifies the clue carrying the semantic load.
Syntax test: determine what word class or grammatical role the sentence supplies. Syntax rarely gives the full meaning but can reduce the candidate set.
World-knowledge test: identify assumptions the reader must already know. Context and background knowledge cooperate during inference.
Learning design: if the context is weak, add one concise explanation rather than multiple distracting clues.
38. florp
Context: The florp glimmered in the night sky beside the stars. Main clue: celestial context. Informativeness: medium.
Support manipulation: remove the most informative phrase and see how many meanings become possible. This identifies the clue carrying the semantic load.
Syntax test: determine what word class or grammatical role the sentence supplies. Syntax rarely gives the full meaning but can reduce the candidate set.
World-knowledge test: identify assumptions the reader must already know. Context and background knowledge cooperate during inference.
Learning design: if the context is weak, add one concise explanation rather than multiple distracting clues.
39. florp
Context: The florp barked and chased the cat. Main clue: animal-behaviour clues. Informativeness: medium/high.
Support manipulation: remove the most informative phrase and see how many meanings become possible. This identifies the clue carrying the semantic load.
Syntax test: determine what word class or grammatical role the sentence supplies. Syntax rarely gives the full meaning but can reduce the candidate set.
World-knowledge test: identify assumptions the reader must already know. Context and background knowledge cooperate during inference.
Learning design: if the context is weak, add one concise explanation rather than multiple distracting clues.
40. florp
Context: The florp is a small domesticated animal closely related to dogs. Main clue: category + relation. Informativeness: high.
Support manipulation: remove the most informative phrase and see how many meanings become possible. This identifies the clue carrying the semantic load.
Syntax test: determine what word class or grammatical role the sentence supplies. Syntax rarely gives the full meaning but can reduce the candidate set.
World-knowledge test: identify assumptions the reader must already know. Context and background knowledge cooperate during inference.
Learning design: if the context is weak, add one concise explanation rather than multiple distracting clues.
25. Informativeness laboratory — Cases 41–60
41. taciturn
Context: He was taciturn at the party. Main clue: weak social setting. Informativeness: low.
Misleading-inference test: ask what plausible wrong meaning a learner might construct. Good teaching anticipates inference error, not just correct inference.
Definition-placement test: compare giving the definition before reading, after inference or not at all. Different placements trade error prevention against active meaning construction.
Delay test: later present the word in a new sentence with less semantic support. If meaning is remembered, learning has moved beyond the original context.
Transfer: create another sentence that teaches the same meaning through a different clue type.
42. taciturn
Context: He was taciturn, answering every question with only one or two words. Main clue: behavioural clue. Informativeness: high.
Misleading-inference test: ask what plausible wrong meaning a learner might construct. Good teaching anticipates inference error, not just correct inference.
Definition-placement test: compare giving the definition before reading, after inference or not at all. Different placements trade error prevention against active meaning construction.
Delay test: later present the word in a new sentence with less semantic support. If meaning is remembered, learning has moved beyond the original context.
Transfer: create another sentence that teaches the same meaning through a different clue type.
43. controversial
Context: The policy was controversial. Main clue: evaluation only. Informativeness: low/medium.
Misleading-inference test: ask what plausible wrong meaning a learner might construct. Good teaching anticipates inference error, not just correct inference.
Definition-placement test: compare giving the definition before reading, after inference or not at all. Different placements trade error prevention against active meaning construction.
Delay test: later present the word in a new sentence with less semantic support. If meaning is remembered, learning has moved beyond the original context.
Transfer: create another sentence that teaches the same meaning through a different clue type.
44. controversial
Context: The policy was controversial because half the public supported it and half strongly opposed it. Main clue: cause + contrast. Informativeness: high.
Misleading-inference test: ask what plausible wrong meaning a learner might construct. Good teaching anticipates inference error, not just correct inference.
Definition-placement test: compare giving the definition before reading, after inference or not at all. Different placements trade error prevention against active meaning construction.
Delay test: later present the word in a new sentence with less semantic support. If meaning is remembered, learning has moved beyond the original context.
Transfer: create another sentence that teaches the same meaning through a different clue type.
45. resilient
Context: The material was resilient. Main clue: property label only. Informativeness: low.
Misleading-inference test: ask what plausible wrong meaning a learner might construct. Good teaching anticipates inference error, not just correct inference.
Definition-placement test: compare giving the definition before reading, after inference or not at all. Different placements trade error prevention against active meaning construction.
Delay test: later present the word in a new sentence with less semantic support. If meaning is remembered, learning has moved beyond the original context.
Transfer: create another sentence that teaches the same meaning through a different clue type.
46. resilient
Context: The material was resilient: after being bent, it quickly returned to its original shape. Main clue: functional explanation. Informativeness: high.
Misleading-inference test: ask what plausible wrong meaning a learner might construct. Good teaching anticipates inference error, not just correct inference.
Definition-placement test: compare giving the definition before reading, after inference or not at all. Different placements trade error prevention against active meaning construction.
Delay test: later present the word in a new sentence with less semantic support. If meaning is remembered, learning has moved beyond the original context.
Transfer: create another sentence that teaches the same meaning through a different clue type.
47. significant
Context: The result was significant. Main clue: ambiguous evaluative/technical. Informativeness: low.
Misleading-inference test: ask what plausible wrong meaning a learner might construct. Good teaching anticipates inference error, not just correct inference.
Definition-placement test: compare giving the definition before reading, after inference or not at all. Different placements trade error prevention against active meaning construction.
Delay test: later present the word in a new sentence with less semantic support. If meaning is remembered, learning has moved beyond the original context.
Transfer: create another sentence that teaches the same meaning through a different clue type.
48. significant
Context: The result was statistically significant, meaning the observed difference was unlikely under the null model at the chosen threshold. Main clue: technical explanation. Informativeness: high.
Misleading-inference test: ask what plausible wrong meaning a learner might construct. Good teaching anticipates inference error, not just correct inference.
Definition-placement test: compare giving the definition before reading, after inference or not at all. Different placements trade error prevention against active meaning construction.
Delay test: later present the word in a new sentence with less semantic support. If meaning is remembered, learning has moved beyond the original context.
Transfer: create another sentence that teaches the same meaning through a different clue type.
49. articulate
Context: The speaker was articulate. Main clue: evaluation only. Informativeness: low.
Misleading-inference test: ask what plausible wrong meaning a learner might construct. Good teaching anticipates inference error, not just correct inference.
Definition-placement test: compare giving the definition before reading, after inference or not at all. Different placements trade error prevention against active meaning construction.
Delay test: later present the word in a new sentence with less semantic support. If meaning is remembered, learning has moved beyond the original context.
Transfer: create another sentence that teaches the same meaning through a different clue type.
50. articulate
Context: The speaker was articulate, expressing complex ideas clearly and fluently. Main clue: paraphrase. Informativeness: high.
Misleading-inference test: ask what plausible wrong meaning a learner might construct. Good teaching anticipates inference error, not just correct inference.
Definition-placement test: compare giving the definition before reading, after inference or not at all. Different placements trade error prevention against active meaning construction.
Delay test: later present the word in a new sentence with less semantic support. If meaning is remembered, learning has moved beyond the original context.
Transfer: create another sentence that teaches the same meaning through a different clue type.
51. portable
Context: The device is portable. Main clue: common prior knowledge. Informativeness: medium.
Misleading-inference test: ask what plausible wrong meaning a learner might construct. Good teaching anticipates inference error, not just correct inference.
Definition-placement test: compare giving the definition before reading, after inference or not at all. Different placements trade error prevention against active meaning construction.
Delay test: later present the word in a new sentence with less semantic support. If meaning is remembered, learning has moved beyond the original context.
Transfer: create another sentence that teaches the same meaning through a different clue type.
52. portable
Context: The device is portable: it weighs less than one kilogram and can be carried easily. Main clue: features + function. Informativeness: high.
Misleading-inference test: ask what plausible wrong meaning a learner might construct. Good teaching anticipates inference error, not just correct inference.
Definition-placement test: compare giving the definition before reading, after inference or not at all. Different placements trade error prevention against active meaning construction.
Delay test: later present the word in a new sentence with less semantic support. If meaning is remembered, learning has moved beyond the original context.
Transfer: create another sentence that teaches the same meaning through a different clue type.
53. austerity
Context: The country faced austerity. Main clue: topic/domain cue. Informativeness: low/medium.
Misleading-inference test: ask what plausible wrong meaning a learner might construct. Good teaching anticipates inference error, not just correct inference.
Definition-placement test: compare giving the definition before reading, after inference or not at all. Different placements trade error prevention against active meaning construction.
Delay test: later present the word in a new sentence with less semantic support. If meaning is remembered, learning has moved beyond the original context.
Transfer: create another sentence that teaches the same meaning through a different clue type.
54. austerity
Context: The government introduced austerity by cutting public spending and limiting budgets to reduce deficits. Main clue: policy examples. Informativeness: high.
Misleading-inference test: ask what plausible wrong meaning a learner might construct. Good teaching anticipates inference error, not just correct inference.
Definition-placement test: compare giving the definition before reading, after inference or not at all. Different placements trade error prevention against active meaning construction.
Delay test: later present the word in a new sentence with less semantic support. If meaning is remembered, learning has moved beyond the original context.
Transfer: create another sentence that teaches the same meaning through a different clue type.
55. exothermic
Context: The reaction was exothermic. Main clue: technical label. Informativeness: low for novice.
Misleading-inference test: ask what plausible wrong meaning a learner might construct. Good teaching anticipates inference error, not just correct inference.
Definition-placement test: compare giving the definition before reading, after inference or not at all. Different placements trade error prevention against active meaning construction.
Delay test: later present the word in a new sentence with less semantic support. If meaning is remembered, learning has moved beyond the original context.
Transfer: create another sentence that teaches the same meaning through a different clue type.
56. exothermic
Context: The reaction was exothermic, releasing heat into the surroundings and raising the temperature. Main clue: technical consequence. Informativeness: high.
Misleading-inference test: ask what plausible wrong meaning a learner might construct. Good teaching anticipates inference error, not just correct inference.
Definition-placement test: compare giving the definition before reading, after inference or not at all. Different placements trade error prevention against active meaning construction.
Delay test: later present the word in a new sentence with less semantic support. If meaning is remembered, learning has moved beyond the original context.
Transfer: create another sentence that teaches the same meaning through a different clue type.
57. inference
Context: She made an inference. Main clue: meta-language with weak support. Informativeness: low.
Misleading-inference test: ask what plausible wrong meaning a learner might construct. Good teaching anticipates inference error, not just correct inference.
Definition-placement test: compare giving the definition before reading, after inference or not at all. Different placements trade error prevention against active meaning construction.
Delay test: later present the word in a new sentence with less semantic support. If meaning is remembered, learning has moved beyond the original context.
Transfer: create another sentence that teaches the same meaning through a different clue type.
58. inference
Context: She made an inference by using clues in the passage to reach a conclusion that was not stated directly. Main clue: process definition. Informativeness: high.
Misleading-inference test: ask what plausible wrong meaning a learner might construct. Good teaching anticipates inference error, not just correct inference.
Definition-placement test: compare giving the definition before reading, after inference or not at all. Different placements trade error prevention against active meaning construction.
Delay test: later present the word in a new sentence with less semantic support. If meaning is remembered, learning has moved beyond the original context.
Transfer: create another sentence that teaches the same meaning through a different clue type.
59. polysemous
Context: The word is polysemous. Main clue: technical label. Informativeness: low.
Misleading-inference test: ask what plausible wrong meaning a learner might construct. Good teaching anticipates inference error, not just correct inference.
Definition-placement test: compare giving the definition before reading, after inference or not at all. Different placements trade error prevention against active meaning construction.
Delay test: later present the word in a new sentence with less semantic support. If meaning is remembered, learning has moved beyond the original context.
Transfer: create another sentence that teaches the same meaning through a different clue type.
60. polysemous
Context: The word is polysemous because the same form has several related meanings, such as ‘head’ for a body part and a leader. Main clue: definition + example. Informativeness: high.
Misleading-inference test: ask what plausible wrong meaning a learner might construct. Good teaching anticipates inference error, not just correct inference.
Definition-placement test: compare giving the definition before reading, after inference or not at all. Different placements trade error prevention against active meaning construction.
Delay test: later present the word in a new sentence with less semantic support. If meaning is remembered, learning has moved beyond the original context.
Transfer: create another sentence that teaches the same meaning through a different clue type.
26. Building informative vocabulary contexts
1. glade
Stage 1 — identify the target feature: decide what part of glade‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use direct definition because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
2. arboretum
Stage 1 — identify the target feature: decide what part of arboretum‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use appositive definition because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
3. famished
Stage 1 — identify the target feature: decide what part of famished‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use cause/consequence because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
4. gregarious
Stage 1 — identify the target feature: decide what part of gregarious‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use contrast because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
5. translucent
Stage 1 — identify the target feature: decide what part of translucent‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use explanation + contrast because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
6. meticulous
Stage 1 — identify the target feature: decide what part of meticulous‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use behavioural examples because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
7. equivocated
Stage 1 — identify the target feature: decide what part of equivocated‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use paraphrase because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
8. arid
Stage 1 — identify the target feature: decide what part of arid‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use cause + examples because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
9. nocturnal
Stage 1 — identify the target feature: decide what part of nocturnal‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use category + example because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
10. remorse
Stage 1 — identify the target feature: decide what part of remorse‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use cause + emotion consequence because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
11. jubilant
Stage 1 — identify the target feature: decide what part of jubilant‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use examples because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
12. alleviated
Stage 1 — identify the target feature: decide what part of alleviated‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use result + paraphrase because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
13. circuitous
Stage 1 — identify the target feature: decide what part of circuitous‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use contrast with directness because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
14. concise
Stage 1 — identify the target feature: decide what part of concise‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use example + outcome because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
15. obsolete
Stage 1 — identify the target feature: decide what part of obsolete‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use cause + contrast because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
16. sarcastic
Stage 1 — identify the target feature: decide what part of sarcastic‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use example + pragmatic contrast because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
17. sparse
Stage 1 — identify the target feature: decide what part of sparse‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use enumeration because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
18. inconclusive
Stage 1 — identify the target feature: decide what part of inconclusive‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use consequence because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
19. reluctant
Stage 1 — identify the target feature: decide what part of reluctant‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use behaviour because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
20. peninsula
Stage 1 — identify the target feature: decide what part of peninsula‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use formal definition because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
21. scaffolding
Stage 1 — identify the target feature: decide what part of scaffolding‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use process examples because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
22. anomalous
Stage 1 — identify the target feature: decide what part of anomalous‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use contrast with norm because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
23. precarious
Stage 1 — identify the target feature: decide what part of precarious‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use evidence/examples because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
24. evasive
Stage 1 — identify the target feature: decide what part of evasive‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use behavioural evidence because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
25. repealed
Stage 1 — identify the target feature: decide what part of repealed‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use explicit paraphrase because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
26. dilapidated
Stage 1 — identify the target feature: decide what part of dilapidated‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use multiple examples because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
27. frugal
Stage 1 — identify the target feature: decide what part of frugal‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use behavioural examples because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
28. meandered
Stage 1 — identify the target feature: decide what part of meandered‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use description + contrast because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
29. endemic
Stage 1 — identify the target feature: decide what part of endemic‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use definition/paraphrase because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
30. lethargic
Stage 1 — identify the target feature: decide what part of lethargic‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use paraphrase + example because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
31. dax
Stage 1 — identify the target feature: decide what part of dax‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use none because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
32. dax
Stage 1 — identify the target feature: decide what part of dax‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use topic only because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
33. dax
Stage 1 — identify the target feature: decide what part of dax‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use evaluative only because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
34. dax
Stage 1 — identify the target feature: decide what part of dax‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use syntactic/object cue only because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
35. dax
Stage 1 — identify the target feature: decide what part of dax‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use physical-object clue because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
36. dax
Stage 1 — identify the target feature: decide what part of dax‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use container-function clue because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
37. dax
Stage 1 — identify the target feature: decide what part of dax‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use definition because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
38. florp
Stage 1 — identify the target feature: decide what part of florp‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use celestial context because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
39. florp
Stage 1 — identify the target feature: decide what part of florp‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use animal-behaviour clues because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
40. florp
Stage 1 — identify the target feature: decide what part of florp‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use category + relation because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
41. taciturn
Stage 1 — identify the target feature: decide what part of taciturn‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use weak social setting because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
42. taciturn
Stage 1 — identify the target feature: decide what part of taciturn‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use behavioural clue because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
43. controversial
Stage 1 — identify the target feature: decide what part of controversial‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use evaluation only because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
44. controversial
Stage 1 — identify the target feature: decide what part of controversial‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use cause + contrast because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
45. resilient
Stage 1 — identify the target feature: decide what part of resilient‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use property label only because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
46. resilient
Stage 1 — identify the target feature: decide what part of resilient‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use functional explanation because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
47. significant
Stage 1 — identify the target feature: decide what part of significant‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use ambiguous evaluative/technical because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
48. significant
Stage 1 — identify the target feature: decide what part of significant‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use technical explanation because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
49. articulate
Stage 1 — identify the target feature: decide what part of articulate‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use evaluation only because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
50. articulate
Stage 1 — identify the target feature: decide what part of articulate‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use paraphrase because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
51. portable
Stage 1 — identify the target feature: decide what part of portable‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use common prior knowledge because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
52. portable
Stage 1 — identify the target feature: decide what part of portable‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use features + function because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
53. austerity
Stage 1 — identify the target feature: decide what part of austerity‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use topic/domain cue because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
54. austerity
Stage 1 — identify the target feature: decide what part of austerity‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use policy examples because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
55. exothermic
Stage 1 — identify the target feature: decide what part of exothermic‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use technical label because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
56. exothermic
Stage 1 — identify the target feature: decide what part of exothermic‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use technical consequence because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
57. inference
Stage 1 — identify the target feature: decide what part of inference‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use meta-language with weak support because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
58. inference
Stage 1 — identify the target feature: decide what part of inference‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use process definition because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
59. polysemous
Stage 1 — identify the target feature: decide what part of polysemous‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use technical label because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
60. polysemous
Stage 1 — identify the target feature: decide what part of polysemous‘s meaning the learner must infer. Do not overload one sentence with every sense and nuance.
Stage 2 — select a clue: use definition + example because it can reveal the core meaning in this case. Add syntax and world knowledge only where they converge rather than distract.
Stage 3 — ask for evidence: require the learner to justify the inference from the sentence. Evidence-based inference is stronger than a lucky guess.
Stage 4 — verify and vary: confirm the meaning, then move the word into a less informative context so stored knowledge, not sentence support, carries the next retrieval.
27. Frequently asked questions
What is contextual informativeness?
How much useful semantic information a context provides about a word’s meaning.
Is informativeness the same as predictability?
No. Predictability concerns how expected a word is; informativeness concerns how much the context teaches about meaning.
What makes a context informative?
Definitions, paraphrases, examples, contrasts, causes, consequences, categories and other converging clues.
Can a sentence contain a word but teach almost nothing?
Yes. Neutral contexts can leave many meanings possible.
Do definitions help?
Yes, especially for preventing inference errors and clarifying difficult or abstract meanings.
Can inference improve memory?
It can, but inaccurate inference may also create persistent errors.
Does learner knowledge matter?
Yes. A clue is only informative if the learner understands the surrounding language and background concepts.
Should every first encounter be highly informative?
For important difficult words, strong support is useful; later encounters should become more varied and less explicit.
What is semantic contextual support?
The extent to which sentence meaning helps constrain and explain the target.
What is the simplest rule?
Ask what exact evidence in the sentence teaches the meaning.
28. Research grounding
Cambridge research on L2 vocabulary learning has operationalised semantic contextual support as a continuous predictor rather than a simple supportive/non-supportive category, showing that context, word characteristics and learner knowledge jointly predict vocabulary outcomes. Research comparing definition-before-reading with inference-first conditions likewise shows that access to definitions reduces meaning-inference error while different instructional sequences can affect later declarative and lexical knowledge. Recent Cambridge work on linguistic context also emphasises prediction and weighted co-occurrence as mechanisms supporting word learning.
- Cambridge — Semantic contextual support in L2 vocabulary learning
- Cambridge — Contextual word learning and definition placement
- Cambridge — Linguistic context and word learning
29. eduKateSG routes
- Lexical Inferencing and Context Clues
- Contextual Predictability
- Contextual Diversity
- Vocabulary Master Router
30. Final model
Context is not a magic teacher. It teaches when it supplies enough reliable evidence for the learner to infer semantic features and then verify them.
The strongest sequence is supportive context first, explicit verification second, and progressively less supportive contexts later so the word becomes independent of the sentence that introduced it.
Good context does not merely contain the word. It makes the meaning discoverable.
31. Final context-design lab
1. glade
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows glade independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
2. arboretum
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows arboretum independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
3. famished
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows famished independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
4. gregarious
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows gregarious independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
5. translucent
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows translucent independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
6. meticulous
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows meticulous independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
7. equivocated
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows equivocated independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
8. arid
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows arid independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
9. nocturnal
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows nocturnal independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
10. remorse
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows remorse independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
11. jubilant
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows jubilant independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
12. alleviated
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows alleviated independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
13. circuitous
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows circuitous independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
14. concise
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows concise independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
15. obsolete
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows obsolete independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
16. sarcastic
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows sarcastic independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
17. sparse
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows sparse independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
18. inconclusive
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows inconclusive independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
19. reluctant
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows reluctant independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
20. peninsula
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows peninsula independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
21. scaffolding
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows scaffolding independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
22. anomalous
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows anomalous independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
23. precarious
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows precarious independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
24. evasive
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows evasive independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
25. repealed
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows repealed independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
26. dilapidated
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows dilapidated independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
27. frugal
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows frugal independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
28. meandered
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows meandered independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
29. endemic
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows endemic independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
30. lethargic
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows lethargic independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
31. dax
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows dax independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
32. dax
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows dax independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
33. dax
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows dax independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
34. dax
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows dax independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
35. dax
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows dax independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
36. dax
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows dax independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
37. dax
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows dax independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
38. florp
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows florp independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
39. florp
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows florp independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
40. florp
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows florp independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
41. taciturn
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows taciturn independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
42. taciturn
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows taciturn independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
43. controversial
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows controversial independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
44. controversial
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows controversial independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
45. resilient
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows resilient independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
46. resilient
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows resilient independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
47. significant
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows significant independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
48. significant
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows significant independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
49. articulate
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows articulate independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
50. articulate
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows articulate independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
51. portable
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows portable independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
52. portable
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows portable independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
53. austerity
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows austerity independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
54. austerity
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows austerity independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
55. exothermic
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows exothermic independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
56. exothermic
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows exothermic independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
57. inference
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows inference independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
58. inference
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows inference independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
59. polysemous
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows polysemous independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
60. polysemous
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows polysemous independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
61. glade
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows glade independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
62. arboretum
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows arboretum independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
63. famished
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows famished independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
64. gregarious
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows gregarious independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
65. translucent
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows translucent independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
66. meticulous
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows meticulous independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
67. equivocated
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows equivocated independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
68. arid
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows arid independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
69. nocturnal
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows nocturnal independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
70. remorse
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows remorse independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
71. jubilant
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows jubilant independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
72. alleviated
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows alleviated independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
73. circuitous
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows circuitous independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
74. concise
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows concise independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
75. obsolete
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows obsolete independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
76. sarcastic
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows sarcastic independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
77. sparse
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows sparse independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
78. inconclusive
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows inconclusive independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
79. reluctant
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows reluctant independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
80. peninsula
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows peninsula independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
81. scaffolding
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows scaffolding independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.
82. anomalous
Rewrite for stronger support: modify the sentence so at least two independent clues converge on the intended meaning without simply inserting a dictionary definition.
Rewrite for weaker support: remove explanatory detail while keeping the sentence natural. Use the weak version later to test whether the learner now knows anomalous independently.
Error forecast: predict the most likely wrong inference from the weak version and add one precise clue that eliminates it.