JC2 H2 Knowledge and Inquiry (KI) vocabulary for Singapore A-Level 9759: these 200 precisely explained terms help students understand the nature of knowledge, evidence, logic, bias, scientific and historical explanations, ethics and the Independent Study. The purpose is to improve thinking and communication, not simply collect difficult words.
For the 2027 examination, H2 Knowledge and Inquiry has Paper 1: Essay (30%), Paper 2: Critical Thinking (30%) and Paper 3: Independent Study (40%). Paper 3 is a six-month research task of 2,500–3,000 words. A strong candidate must be able to build an argument, challenge weak assumptions and distinguish sources of evidence from the conclusions drawn from them.
Quick information:
- Exactly 200 distinct glossary entries, arranged in ten linked topic sections.
- 2027 SEAB code 9759, for H2 Knowledge and Inquiry, school candidates.
- Paper 1: 3 hours, 60 marks, 30%; answer one essay from each of two sections.
- Paper 2: 2 hours, 60 marks, 30%; an unseen-passage question and two argument-evaluation answers.
- Paper 3: independent investigation, 2,500–3,000 words over approximately six months, 80 marks, 40%.
- Includes applied examples, common argument mistakes, research-ethics guidance, a four-week skills routine and official sources.
These are independent teaching definitions, not an official SEAB list of 200 mandatory terms. Students must follow their school guidance and SEAB’s specific Independent Study conditions.
Find a Knowledge and Inquiry concept
Top 200 JC2 KI vocabulary words, explained
1. What knowledge is and why we ask questions
- knowledge — Claim or understanding accepted on adequate grounds; inquiry asks what those grounds are and whether they withstand criticism.
- epistemology — Branch of philosophy studying what knowledge is, how it is acquired and what makes beliefs justified.
- inquiry — Deliberate process of asking, investigating and evaluating questions rather than accepting a first answer.
- research question — Focused question specifying the issue an investigation will examine, including the limits of what can be answered.
- claim — Statement asserted to be true or defensible; it differs from evidence offered in its support.
- belief — Mental acceptance of a proposition, which can be sincere without being justified or correct.
- truth — Property of a proposition accurately representing what is the case under an appropriate theory of truth.
- justified belief — Belief supported by reasons or evidence that meet a stated standard, although the standard can be debated.
- certainty — Degree of assurance that a proposition could not be wrong, often unattainable in complex empirical contexts.
- doubt — Suspension or questioning of belief that can stimulate further checking or expose weak assumptions.
- scepticism — Approach questioning whether accepted claims are adequately justified, ranging from moderate caution to radical doubt.
- infallibility — Claimed incapacity to be mistaken, which is rarely justified for human methods of inquiry.
- fallibilism — Position that a belief can be rationally held while still potentially mistaken.
- objectivity — Effort to base judgement on publicly assessable methods and evidence rather than unchecked personal preferences.
- subjectivity — Influence of an individual’s standpoint, experiences or values on perception and judgement.
- perspective — Particular vantage point from which an issue is experienced or interpreted; multiple perspectives can be examined without equalising their reliability.
- assumption — Premise treated as true within an argument, model or method, sometimes without explicit justification.
- presupposition — Underlying idea that a question or statement takes for granted before the argument even begins.
- conceptual distinction — Clear separation of similar ideas whose differences affect the answer, such as fact and interpretation.
- scope of inquiry — Boundary defining which questions, cases, sources and periods are included or excluded from a study.
2. Evidence, reasons and justification
- evidence — Information relevant to supporting or challenging a claim; its quality depends on provenance, method and fit.
- reason — Consideration offered for accepting a conclusion, which needs to connect logically to the claim.
- premise — Statement used as a starting point in an argument’s reasoning.
- conclusion — Proposition that an argument is intended to establish from its premises.
- justification — Explanation of why evidence or reasoning warrants a claim rather than merely repeating the claim.
- warrant — Principle connecting supporting information to a conclusion; missing warrants make arguments fragile.
- inference — Mental or logical move from available information to a further claim, with varying degrees of certainty.
- observation — Recorded event or measurement, potentially influenced by instruments, categorisation and interpretation.
- testimony — Report of an experience or fact from a person or source, requiring attention to access and reliability.
- expertise — Specialised knowledge and skill acquired through appropriate study or practice, not a guarantee of infallibility.
- authority — Position or recognised source used to support a claim, whose relevance and competence should be examined.
- consensus — Broad agreement among a relevant group, sometimes reflecting robust evidence and sometimes institutional pressures.
- corroboration — Independent supporting evidence that makes a claim more credible than one isolated report.
- counterevidence — Information that conflicts with a proposed explanation and therefore requires consideration.
- reproducibility — Ability to obtain comparable results using sufficiently documented methods, inputs and conditions.
- replication — Independent repetition of a study to check the robustness or generality of its findings.
- reliability — Consistency of a source, measurement or method across comparable circumstances.
- validity — Extent to which an approach measures or establishes what it is intended to assess.
- triangulation — Use of multiple evidence sources or methods to investigate the same question and expose limitations.
- burden of proof — Responsibility to supply adequate support for a proposition, especially when making strong or consequential claims.
3. Logic and argumentative structure
- argument — Linked premises and a conclusion, not necessarily a quarrel or exchange of strong emotions.
- deduction — Reasoning where the conclusion must follow if the premises and logical form are sound.
- induction — Reasoning from observed cases to broader expectations that remain revisable.
- abduction — Inference selecting the most plausible explanation of the available evidence among candidates.
- valid argument — Deductive form in which it is impossible for the premises to be true and conclusion false.
- sound argument — Valid deductive argument whose premises are also true.
- strong induction — Inductive reasoning where premises make the conclusion highly plausible without guaranteeing it.
- cogency — Quality of an inductive argument that is strong and rests on credible premises.
- necessary condition — Condition that must hold for a specified outcome but may not alone ensure it.
- sufficient condition — Condition that guarantees an outcome under the stated logical relationship.
- conditional statement — Proposition of form ‘if P then Q’, which should not be confused with its converse.
- converse error — Inferring P from Q solely because P implies Q; the reverse implication may not hold.
- contradiction — Pair of claims that cannot both be true in the same sense and circumstances.
- consistency — Absence of mutually incompatible claims within a given set of propositions.
- counterexample — Specific case showing a universal claim cannot be true as stated.
- analogy — Reasoning from relevant similarities between cases, which must also assess important differences.
- causal inference — Reasoned attempt to establish that one factor produces a change in another rather than merely correlating with it.
- correlation — Statistical association among variables, which does not alone demonstrate causation.
- circular reasoning — Argument that effectively assumes the conclusion it is supposed to demonstrate.
- false dichotomy — Presentation of only two options when other credible alternatives exist.
4. Weak arguments and cognitive biases
- ad hominem — Attack on the person making an argument rather than on its reasoning or supporting evidence.
- straw man — Distortion of another position into an easier claim to defeat.
- appeal to popularity — Treating widespread acceptance as sufficient proof of truth.
- appeal to ignorance — Treating absence of proof against a claim as proof for it, or vice versa.
- hasty generalisation — Inference about a whole population from too little or unrepresentative evidence.
- cherry-picking — Selective use of favourable information while ignoring relevant contrary findings.
- confirmation bias — Tendency to seek or interpret information in ways that support prior beliefs.
- availability bias — Overweighting examples that are easy to remember when judging frequency or risk.
- anchoring effect — Excessive reliance on an initial figure or impression when making later estimates.
- framing effect — Change in decisions caused by different presentations of equivalent information.
- survivorship bias — Mistake of analysing only successful or visible cases while missing those excluded.
- selection bias — Distortion caused by how participants or cases enter an investigation.
- publication bias — Tendency for certain study outcomes to become published or visible more often than others.
- motivated reasoning — Processing evidence in ways influenced by a desired conclusion or identity.
- halo effect — Allowing one positive trait of a source or person to dominate unrelated judgements.
- groupthink — Group pressure towards agreement that can suppress contrary evidence or critical assessment.
- sunk cost fallacy — Continuing a decision because of irrecoverable past investment instead of future costs and benefits.
- slippery-slope claim — Assertion that one step must produce a chain of consequences without sufficient support for each link.
- post hoc fallacy — Assuming one event caused another simply because it occurred earlier.
- equivocation — Using one important word with shifting meanings across an argument, creating a misleading inference.
5. Science, mathematics and model-building
- hypothesis — Testable tentative claim proposed to explain observations or relationships.
- scientific theory — Coherent explanatory framework supported by evidence, not a mere casual guess.
- falsifiability — Property of a hypothesis that could be contradicted by an identifiable observation under specified conditions.
- experiment — Deliberate intervention designed to test relationships while managing relevant alternatives.
- control group — Comparison group used to estimate what might occur without a treatment or change.
- independent variable — Factor manipulated or classified as a potential explanatory cause in an investigation.
- dependent variable — Measured response whose changes the researcher seeks to explain.
- confounding variable — Factor associated with both a supposed cause and an outcome, potentially distorting conclusions.
- operational definition — Precise rule specifying how an abstract concept will be measured or identified in practice.
- measurement uncertainty — Explicit recognition of limits on how precisely a quantity can be established.
- statistical significance — Decision about evidence relative to a prespecified statistical test and threshold, not necessarily practical importance.
- practical significance — Extent to which a result matters in real-world consequences, regardless of whether a test is statistically significant.
- mathematical proof — Deductive demonstration that a proposition follows from accepted axioms and prior results.
- axiom — Starting statement assumed within a formal system to support logical derivations.
- formal system — Set of symbols, rules and axioms used for constructing mathematical consequences.
- theorem — Proposition shown to follow from defined premises through a proof.
- model — Simplified representation of a system intended to explain, estimate or predict aspects of it.
- idealisation — Deliberate omission of complexity to make a model manageable, requiring attention to resulting limits.
- prediction — Specific expectation derived from an explanation or model that can be examined against later evidence.
- peer review — Evaluation by relevant experts before or after publication, useful but not an infallible guarantee of correctness.
6. History, society and contested explanations
- historical source — Trace from the past used as evidence about events, experiences or interpretations.
- primary source — Material directly produced during the period or by participants being studied, depending on the historical question.
- secondary source — Later interpretation or synthesis drawing on primary materials and prior scholarship.
- provenance — Origin, creator, date and production circumstances of a source, which affect how it can be used.
- contextualisation — Placing a claim or document within relevant social, political and temporal circumstances.
- presentism — Interpreting the past solely through today’s assumptions without appropriate historical context.
- anachronism — Placing a concept, object or event in a historical time to which it does not belong.
- historiography — Study of how historians have explained and debated the past.
- archival silence — Absence of records or voices, sometimes caused by unequal power over documentation.
- oral history — Historical knowledge developed from recorded memories and testimony, alongside checks on recall and context.
- collective memory — Shared narratives about the past shaped by communities, institutions and commemorations.
- social construction — Process by which categories, norms or meanings develop through social interaction and institutions.
- institution — Stable set of rules and practices organising social activities.
- ideology — System of political or social ideas shaping how people interpret the world.
- power relation — Distribution of ability to influence decisions, access evidence or define accepted knowledge.
- representation — Way people, events or ideas are portrayed through language, statistics or images.
- standpoint — Knowledge-relevant perspective formed partly through social position and lived experience.
- interpretive framework — Conceptual lens used to organise evidence into an explanation.
- case study — Close investigation of a bounded situation, valuable for context but not always broadly generalisable.
- generalisability — Extent to which results from a particular study apply to other settings or populations.
7. Language, art, culture and digital knowledge
- language game — Practice in which expressions gain meaning through their use and shared rules in a context.
- definition — Explanation establishing a word or concept’s intended meaning within an inquiry.
- ambiguity — Presence of multiple plausible meanings that may require clarification.
- vagueness — Lack of precise boundaries in a term, such as the point at which something becomes ‘large’.
- metaphor — Description of one domain through another, sometimes illuminating insight while also potentially misleading.
- narrative — Organised account connecting events in time and through interpretation.
- storytelling — Use of plot and presentation to structure experiences and communicate meaning.
- aesthetic judgement — Assessment of artistic qualities, which may involve reasons and conventions but not simple laboratory proof.
- artistic interpretation — Account of possible meanings of a work grounded in its form, context and reception.
- cultural context — Shared practices and historical experiences influencing how a claim or artwork is understood.
- translation — Re-expression between languages, requiring choices that can change emphasis or connotation.
- semantic shift — Change in a word’s meaning over time or between communities.
- media literacy — Ability to assess how information is produced, framed, distributed and received.
- digital footprint — Information trail generated through a person’s online actions and systems.
- algorithmic curation — Automated selection and ordering of content that can shape what audiences encounter.
- misinformation — False or misleading information shared without necessarily deliberate intent to deceive.
- disinformation — False or misleading information intentionally spread to cause deception or influence.
- deepfake — Synthetic or manipulated media depicting events or people in a misleadingly realistic manner.
- information ecosystem — Network of sources, platforms, incentives and users influencing the circulation of claims.
- attention economy — System where human attention becomes a scarce and commercially valuable resource.
8. Ethics, values and responsible knowledge
- ethics — Study of what actions ought to be taken and how competing moral reasons should be weighed.
- moral principle — General standard used to judge conduct, such as fairness, respect or harm avoidance.
- value judgement — Assessment influenced by standards of what matters, which should be distinguished from purely descriptive claims.
- utilitarianism — Approach evaluating actions primarily through their consequences for overall welfare.
- deontology — Approach focusing on duties, rules and moral constraints rather than consequences alone.
- virtue ethics — Approach assessing conduct through character and practical judgement.
- autonomy — Ability and right to make informed decisions concerning oneself.
- informed consent — Agreement based on adequate understanding and a genuine opportunity to choose.
- privacy — Interest in controlling access to personal information and aspects of one’s life.
- confidentiality — Duty to protect entrusted information against unauthorised disclosure.
- conflict of interest — Situation where competing interests risk undermining impartial judgement.
- research integrity — Commitment to honest methods, reporting and accountability throughout inquiry.
- plagiarism — Presenting another person’s words or ideas as one’s own without appropriate acknowledgment.
- fabrication — Inventing data or evidence and presenting it as authentic.
- falsification — Manipulating evidence or processes so the resulting account misrepresents what occurred.
- fairness — Requirement to treat relevantly similar cases consistently while recognising justified differences.
- equity — Concern for just access and outcomes that may require more than identical treatment.
- harm-benefit analysis — Weighing possible injuries and advantages before acting on a knowledge claim.
- precautionary principle — Reasoning that serious possible harm may justify preventive action despite some scientific uncertainty.
- responsible innovation — Designing and using new knowledge while anticipating harms, affected groups and accountability.
9. Research methods and source quality
- literature review — Critical account of existing scholarship that identifies what is known, disputed and missing.
- research gap — Specific question or limitation not adequately addressed by available studies.
- research design — Plan linking a question to evidence collection and analysis in a defensible sequence.
- methodology — Reasoned account of why chosen research methods suit a particular question.
- qualitative research — Investigation using observations, interviews or texts to study meanings and processes in depth.
- quantitative research — Investigation using numerical measures and statistical analysis to examine patterns or relationships.
- mixed methods — Research combining qualitative and quantitative approaches for complementary purposes.
- sampling frame — List or operational source from which eligible cases can be selected.
- representative sample — Sample sufficiently reflecting the relevant population for the intended comparisons.
- sample bias — Distortion arising when the observed sample systematically differs from the target population.
- interview protocol — Planned questions and procedures helping interviews collect relevant and ethically obtained information.
- survey instrument — Questionnaire and response format used to measure opinions or experiences.
- leading question — Question whose wording steers respondents toward a particular answer.
- source evaluation — Assessment of authorship, purpose, evidence, methods, date and limitations of a source.
- citation — Identifiable reference linking a claim or quotation to its source.
- bibliography — Organised list of sources consulted or cited during a research project.
- paraphrase — Accurate restatement of another person’s idea in one’s own wording with appropriate acknowledgment.
- direct quotation — Exact reproduced words distinguished from a writer’s own prose and properly credited.
- research limitation — Constraint on methods or evidence affecting what conclusions can reasonably be drawn.
- ethical approval — Required permission or oversight for sensitive research activity where applicable.
10. KI papers, independent study and communication
- thesis statement — Central arguable answer organising an essay’s reasoning and evidence.
- section argument — Focused claim explaining how one part of an essay advances the overall thesis.
- counterargument — Substantial alternative reasoning that a strong essay addresses fairly rather than caricaturing.
- rebuttal — Specific answer explaining why an objection does not defeat the main claim.
- qualification — Explicit limit identifying the cases or conditions in which a conclusion holds.
- coherence — Logical connection among ideas so readers can follow how the conclusion is reached.
- precision of language — Use of terms with consistent meanings and appropriately limited claims.
- intellectual humility — Recognition that a well-supported view can still need revision when better reasons appear.
- critical thinking — Analysing assumptions, arguments and evidence before reaching a justified judgement.
- independent study — KI Paper 3 sustained investigation on the nature and construction of knowledge, completed under specified conditions.
- proposal — Initial plan setting out the question, rationale, approach, scope and possible limitations for approval.
- research rationale — Explanation of why the chosen question matters and is suitable for investigation.
- synopsis — Concise statement of objectives, scope and approach in a research proposal.
- approved scope — Research boundaries accepted for the study; unapproved shifts may need further permission.
- word limit — Maximum or permitted length for a component, requiring careful prioritisation and checking of rules.
- acknowledgement of AI assistance — Disclosure when AI-generated content or relevant AI advice has been used, consistent with KI rules and academic integrity.
- authenticity declaration — Required statement confirming work is the student’s own and sources have been appropriately credited.
- teacher conference — Formal guidance conversation permitted within limits, not an opportunity for another person to write the research paper.
- best-fit marking — Qualitative assignment of an assessment band by judging the whole work against descriptors.
- reflective revision — Improving claims after identifying gaps in evidence, reasoning or expression while preserving authorship.
Why Knowledge and Inquiry vocabulary matters
A confident speaker can still make an unsound argument. In KI, clarity comes from distinguishing what a person claims, the evidence offered, the warrant connecting the evidence to the conclusion, and the assumptions that must hold for the reasoning to work. Those distinctions matter in scientific studies, medical claims, historical controversies, online advertisements and even family financial decisions.
Inquiry is also about knowing what a method can actually establish. An interview may illuminate how a group experiences a policy without providing a representative estimate of the whole population. A randomised experiment may support a causal inference in a defined setting without proving that the same effect occurs in every country. An archive may contain excellent surviving records while still excluding people who had little power to preserve their own voices. Good knowledge questions expose these limits and examine how to respond to them.
Three original examples: from everyday language to critical thinking
Example 1: correlation does not establish causation
A local newspaper observes that schools with more books in their libraries tend to report stronger examination results. The observation is a correlation, not proof that increasing library holdings alone causes grades to rise. School resources, family income, reading habits and student selection could affect both measures. A critical answer distinguishes a plausible mechanism from a demonstrated cause and asks what additional evidence would justify a policy recommendation.
Example 2: an apparent expert may be speaking outside their area
A well-known physicist comments confidently on historical voting behaviour. The speaker may be knowledgeable and sincere, but expertise in physics does not automatically establish expertise in historical demography or political archives. A careful reader evaluates whether the claim’s evidence and methods are appropriate for the historical question. This does not mean dismissing every cross-disciplinary observation; it means judging the argument on relevant grounds.
Example 3: images can be compelling yet misleading evidence
Imagine a dramatic photograph claiming to show a flood in Singapore ‘today’. Before forwarding it, check the original source, the date, signs of editing, identifiable locations and independent reporting. A real photograph of an old flood does not prove that a new flood happened. If multiple accounts all trace back to the same unverified post, their apparent corroboration may be illusory. The correct response is to adjust certainty to the evidence.
How the 2027 KI examination works
| Component | What the candidate does | Weight |
|---|---|---|
| Paper 1: Essay | 3 hours, 60 marks: one question from Section A (choice of two) and one from Section B (choice of four) | 30% |
| Paper 2: Critical Thinking | 2 hours, 60 marks: compulsory unseen-passage question plus two of three argument-evaluation questions | 30% |
| Paper 3: Independent Study | Approximately six-month inquiry, 2,500–3,000 words on the nature and construction of knowledge | 40% |
The 2027 syllabus indicates suggested essay lengths of around 1,000–1,200 words per Paper 1 response, a roughly 400–600-word unseen-passage response in Paper 2 and around 150–250 words per selected short critical-thinking response. These are stated as suggested ranges in the syllabus, not universal rules about the length of every good answer. The quality of relevance, reasoning and expression is more important than inserting memorised vocabulary.
Paper 3: protecting the authenticity of your Independent Study
Choose a research question about the nature or construction of knowledge rather than a broad fact-reporting title. For example, ‘How do online photographs establish knowledge of a disaster?’ is a different kind of question from ‘What disasters occurred this year?’ The first invites an inquiry into reliability, provenance, corroboration and interpretation. Define your scope, specify what evidence you will analyse and make the limitations visible.
The 2027 syllabus requires a proposal submitted for approval through the school early in the second year of study. It includes the question, rationale, objectives, scope, synopsis, literature review and any proposed methodology; the proposal should not exceed 500 words. The final study is 2,500–3,000 words, has specified formatting requirements and needs a bibliography. The school or SEAB supplies the actual schedule; do not invent your own submission deadline.
Authorship and AI: the Independent Study must represent the candidate’s own work. The syllabus permits responsible use of AI but requires acknowledgment of AI-generated content or relevant assistance; AI-generated text cannot simply be passed off as the candidate’s own writing. It also restricts the extent of teacher and external help in drafting. This glossary can support understanding of concepts, but it should not be copied into an assessed Independent Study as the student’s independent analysis.
Six common KI mistakes and their corrections
| Mistake | Better approach |
|---|---|
| Equating popularity with truth | Ask whether evidence independently supports the belief, even when many people accept it. |
| Calling an argument ‘biased’ without details | Identify exactly what selection, framing or conflicting interest distorts its conclusion. |
| Using a source as both claim and proof | Distinguish the reported assertion from independently verifiable support. |
| Confusing a true conclusion with a valid argument | Check whether the conclusion actually follows from the premises. |
| Listing philosophical theories without applying them | Use each concept to clarify the actual example and test its limits. |
| Treating all perspectives as equally convincing | Consider them fairly but compare credibility, reasoning and fit to evidence. |
A four-week JC2 KI revision and research-skills cycle
- Week 1 — questions and reasons: learn words 1–60. Take three public claims and label their premises, evidence, conclusions and assumptions.
- Week 2 — bias and disciplinary methods: learn words 61–120. Compare how a scientific experiment, a historical archive and a mathematical proof establish different kinds of knowledge.
- Week 3 — language, values and sources: learn words 121–180. Evaluate one news article and one social-media claim for framing, source quality and ethical implications.
- Week 4 — communicate and improve: learn words 181–200, practise short Paper 2 argument evaluations, then revisit the research question and bibliography of any ongoing Independent Study without breaching authorship rules.
A four-week plan helps organise revision but cannot replace the sustained, independently completed Paper 3 research process. Build a research trail with dates, versions and source notes from the beginning; it is far harder to reconstruct those details at the end.
Frequently asked questions about H2 Knowledge and Inquiry
Is H2 Knowledge and Inquiry the same as General Paper?
No. Although both value critical reasoning and clear expression, KI specifically assesses the nature and construction of knowledge, argument evaluation and a substantial independent research study.
What is the 2027 KI subject code?
9759 for H2 Knowledge and Inquiry, intended for eligible school candidates following the KI course.
Does KI have two written papers or three papers in total?
Three components in total: Essay, Critical Thinking and Independent Study. Only the first two are end-of-year written examination papers.
How many words should the Independent Study contain?
The 2027 syllabus gives 2,500–3,000 words. It specifies what is counted and how the finished study should be formatted; follow the published rules and school instructions.
Can ChatGPT write my KI Independent Study?
No. The submitted assessed study must be the student’s own work. Responsible AI assistance may be used within the prescribed rules, but AI-generated information or content used must be acknowledged, and outside agencies cannot provide the actual writing for the student.
Is there only one correct answer to a knowledge question?
Not always. Multiple positions may be defensible when they address the question, explain their standards, examine contrary evidence and reach a coherent, appropriately qualified conclusion.
How should students revise KI vocabulary quickly?
For each term, give a precise meaning, one real example, one possible misuse and one question that could test the claim. That makes the vocabulary useful in analysis instead of merely sounding sophisticated.
Official source and eduKate companion reading
- SEAB: 2027 A-Level syllabuses for school candidates
- SEAB: H2 Knowledge and Inquiry 9759, 2027 syllabus PDF
- Know the MOE syllabus: KI 9759, critical thinking and Independent Study
- Source-use maps: separate evidence, interpretation, limitation and citation
- JC2 General Paper: 200 terms for argument and comprehension
- JC2 Literature: 200 terms for interpretation and comparison
Checked against the 2027 SEAB KI syllabus on 7 November 2026. Independent teaching guidance and not an official MOE or SEAB publication.
