Education Lane Directory — Secondary Science (Z0–Z3)

(Physics / Chemistry / Biology) (Almost-Code Canonical)

CANONICAL LAYER: Almost-Code (Directory / Registry)
SPEC FAMILY: Education OS (EduOS)
GLOBAL VERSION: AC.v1.0
STATUS: Active
SCOPE: Secondary Science reasoning, model-based thinking, and exam robustness pipeline

0) Reader Contract

This page is directory-spec, not commentary.

No persuasion.
No debate.
This is a lane registry (nodes + primitives + sensors + routes).
Place and provider pages instantiate these IDs without mutation.

1) Lane Identity

			
LaneID: EDU-SCI-SEC
LaneName: Secondary Science
LaneType: Education OS analytical reasoning pipeline
Version: AC.v1.0

2) Canonical Node Set (Z0–Z3)

2.1 Z3 — Curriculum & Assessment Layer

			
NODE:
{PlaceID}::EDU-SCI-SEC::Z3::CurriculumAuthority::NODE::001
Desc: Secondary science syllabi (Physics, Chemistry, Biology);
concept depth and progression.
NODE:
{PlaceID}::EDU-SCI-SEC::Z3::AssessmentAuthority::NODE::002
Desc: Examination standards; data interpretation, inference,
and explanation under time pressure.

		

2.2 Z2 — Delivery & Practice Systems

			
NODE:
{PlaceID}::EDU-SCI-SEC::Z2::SchoolDelivery::NODE::001
Desc: Classroom teaching, lab work, and concept sequencing.
NODE:
{PlaceID}::EDU-SCI-SEC::Z2::TuitionDelivery::NODE::002
Desc: Concept repair, misconception clearing,
and exam-robustness training.
NODE:
{PlaceID}::EDU-SCI-SEC::Z2::AssessmentPractice::NODE::003
Desc: Structured practice; data-based and novel questions.

		

2.3 Z1 — Study & Cognitive Support Substrate

			
NODE:
{PlaceID}::EDU-SCI-SEC::Z1::StudyRoutines::NODE::001
Desc: Revision cycles, diagram practice, explanation drills.

2.4 Z0 — Learner Execution

			
NODE:
{PlaceID}::EDU-SCI-SEC::Z0::LearnerExecution::NODE::001
Desc: Interpretation of data, explanation of phenomena,
and application under time constraints.

3) Canonical Skill Primitives (Locked)

			
PRIMITIVES:
P1 Scientific vocabulary precision
P2 Variable control & experimental reasoning
P3 Cause–effect and mechanism reasoning
P4 Data interpretation (tables, graphs)
P5 Model-based explanation
P6 Multi-step inference
P7 Diagrammatic reasoning

		

			
RULE:
Most secondary science failures trace to
P2–P4 (reasoning + data), not memorisation.

4) Canonical Binds (Minimal)

			
BIND:
{PlaceID}::EDU-SCI-SEC::Z3::SyllabusBind::BIND::001
Parties: CurriculumAuthority ↔ Z2 delivery
Goal: maintain concept depth and progression integrity.
BIND:
{PlaceID}::EDU-SCI-SEC::Z2::AssessmentBind::BIND::002
Parties: AssessmentAuthority ↔ AssessmentPractice
Goal: align practice with exam inference envelope.

		

5) Canonical Sensor Set

			
SENSOR:
{PlaceID}::EDU-SCI-SEC::Z0::ExplanationAccuracy::SENSOR::001
Measures: correctness of explanations (not keywords).
SENSOR:
{PlaceID}::EDU-SCI-SEC::Z0::DataInterpretation::SENSOR::002
Measures: accuracy on graphs/tables.
SENSOR:
{PlaceID}::EDU-SCI-SEC::Z0::InferenceChainStability::SENSOR::003
Measures: multi-step reasoning without collapse.
SENSOR:
{PlaceID}::EDU-SCI-SEC::Z0::TimedPerformance::SENSOR::004
Measures: execution under exam timing.
SENSOR:
{PlaceID}::EDU-SCI-SEC::Z1::RoutineStability::SENSOR::005
Measures: revision consistency and buffer health.

		

6) Thresholds (Learning Stop-Loss)

			
THRESH:
{PlaceID}::EDU-SCI-SEC::Z0::ExplanationFailure_T2::THRESH::001
Condition: correct facts but wrong explanations.
Action: ROUTE.005 (False Competence Flush) + foundation rebuild.
THRESH:
{PlaceID}::EDU-SCI-SEC::Z0::DataCollapse_T2::THRESH::002
Condition: graph/table questions fail consistently.
Action: ROUTE.002 (Pipeline Stitching) focused on P4.

		

7) Canonical Route Links

			
ROUTE LINKS:
- ROUTE.005 False Competence Flush
- ROUTE.002 Pipeline Stitching
- ROUTE.003 Bottom-Up Root Cause Repair
- ROUTE.006 Upgrade Sequencing

		

8) Transition Note — Primary → Secondary Science

			
TRANSITION RISK:
Primary science rewards recall.
Secondary science rewards explanation + inference.
RULE:
If P3 is not achieved in:
- vocabulary precision
- cause–effect reasoning
- data interpretation
then Sec 1 science collapses rapidly.

		

9) Mandatory Failure Mode Trace (Canonical)

			
memorised definitions
→ weak data interpretation
→ cannot explain experiments
→ inference questions fail
→ repeated low scores
→ subject confidence collapses

		

			
Correct repair trace:
truncate scope
→ rebuild reasoning primitives
→ controlled data-based practice
→ timed re-entry
→ P3 robustness restored

		

10) Canonical Claim Set (Frozen)

			
CLAIMS (frozen):
- Secondary science is a reasoning-first lane, not a memorisation lane.
- Data interpretation and explanation are dominant failure points.
- False competence is common when keywords replace mechanisms.
- Repairs must target primitives before increasing workload.

		