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Secondary Science OS | Almost-Code Canonical Spec + Full Lattice Codes, Z0–Z3 + P0–P3 routing

(Almost-Code Canonical Spec + Full Lattice Codes, Z0–Z3 + P0–P3 routing)

This closes the last major “school spine” gap after Secondary English.
Once ENG-SEC + SCI-SEC exist, eduKateSG can confidently claim Primary → Secondary continuity.

0) Definition Lock

Secondary Science Mastery (P3)

Reliable concept understanding + multi-step application + data interpretation + structured explanations under timed assessment, across Bio/Chem/Physics-type domains.

Not:

  • memorising keywords only
  • copying “answer phrases” without mechanism
  • doing well only on familiar question styles
  • being accurate only when slow/untimed

1) Lane Architecture (SCI-SEC)

SCI-SEC
  ├─ CLC (Concept Lattice)
  ├─ MEC (Mechanism Engine)
  ├─ EXP (Experiment / Variables)
  ├─ DAT (Data Interpretation)
  ├─ STR (Structured Response Writing)
  └─ EXM (Exam Control / Timed Stability)

Science is a lattice of:

  • concepts
  • relationships
  • mechanisms
  • variable control
  • explanation structure

2) Coordinate Grammar (LOCKED, same as Atlas)

SCI-SEC-<Z>-<MODULE>-<NODE>-P<0|1|2|3>

Zoom:

  • Z0 micro units
  • Z1 relationships/control
  • Z2 application/transfer
  • Z3 stability under load (time)

3) SCI-SEC Lattice Codes (Complete Set)

A) Concept Lattice (SCI-SEC-CLC)

Core nodes

  • SCI-SEC-Z0-CLC-DEF = definition precision (terms + symbols)
  • SCI-SEC-Z0-CLC-UNIT = units / quantities / measurement meaning
  • SCI-SEC-Z1-CLC-LINK = link concepts (cause chains / dependencies)
  • SCI-SEC-Z1-CLC-MOD = model understanding (diagrams, representations)
  • SCI-SEC-Z2-CLC-APP = apply to unfamiliar scenario
  • SCI-SEC-Z3-CLC-STABLE = stable recall & linking under time

Failure mapping

  • memorises but can’t connect → SCI-SEC-Z1-CLC-LINK-P0
  • “knows term” but wrong unit reasoning → SCI-SEC-Z0-CLC-UNIT-P1
  • fails unfamiliar contexts → SCI-SEC-Z2-CLC-APP-P0

Repairs

  • concept-link maps (node→node arrows)
  • unit sense drills (what does unit mean?)
  • scenario variation drills

B) Mechanism Engine (SCI-SEC-MEC)

Core nodes

  • SCI-SEC-Z1-MEC-CHAIN = chain completeness (cause→mechanism→effect)
  • SCI-SEC-Z2-MEC-STEPS = multi-step mechanism explanation
  • SCI-SEC-Z2-MEC-CONSTRAINT = boundary conditions (when rule applies)
  • SCI-SEC-Z3-MEC-SPEED = mechanism recall speed under time

Failures

  • states result only → SCI-SEC-Z1-MEC-CHAIN-P0
  • explains but skips key step → SCI-SEC-Z2-MEC-STEPS-P1
  • applies rule outside condition → SCI-SEC-Z2-MEC-CONSTRAINT-P0

Repairs

  • 3-line chain drill (Cause/Mechanism/Effect)
  • step-missing identification practice
  • constraint tagging: “ONLY when…”

C) Experiments & Variables (SCI-SEC-EXP)

This is where many students collapse: they can “memorise theory” but cannot reason about experiments.

Core nodes

  • SCI-SEC-Z0-EXP-DEF = define IV/DV/controls fairly
  • SCI-SEC-Z1-EXP-VAR = identify IV/DV/controls in scenario
  • SCI-SEC-Z1-EXP-FAIR = fairness logic (control variables)
  • SCI-SEC-Z2-EXP-DESIGN = design experiment steps
  • SCI-SEC-Z2-EXP-ERROR = sources of error + improvements
  • SCI-SEC-Z3-EXP-TIMED = stable under exam time pressure

Failures

  • confuses IV/DV → SCI-SEC-Z1-EXP-VAR-P0
  • can identify but can’t justify → SCI-SEC-Z1-EXP-FAIR-P1
  • cannot propose improvements → SCI-SEC-Z2-EXP-ERROR-P0

Repairs

  • “IV/DV/control sorting” drills
  • fairness sentence template:
  • “Keep _ constant so only affects ___.”
  • error/improvement pairs practice

D) Data Interpretation (SCI-SEC-DAT)

Core nodes

  • SCI-SEC-Z1-DAT-READ = read graphs/tables correctly
  • SCI-SEC-Z1-DAT-TREND = describe trend precisely
  • SCI-SEC-Z2-DAT-CALC = compute from data (rate/gradient/mean etc.)
  • SCI-SEC-Z2-DAT-EXPLAIN = explain trend using mechanism
  • SCI-SEC-Z3-DAT-PACE = time-per-question stability

Failures

  • reads axis wrong → SCI-SEC-Z1-DAT-READ-P0
  • describes trend vaguely → SCI-SEC-Z1-DAT-TREND-P1
  • calculates wrong → SCI-SEC-Z2-DAT-CALC-P0
  • no explanation → SCI-SEC-Z2-DAT-EXPLAIN-P1

Repairs

  • axis-first protocol
  • trend sentence templates (increase/decrease/plateau)
  • “calculation check step” (units + plausibility)
  • explanation = link back to mechanism codes

E) Structured Response Writing (SCI-SEC-STR)

Science answers are not English essays.
They are precision chains.

Core nodes

  • SCI-SEC-Z0-STR-KWD = correct keyword selection
  • SCI-SEC-Z1-STR-SEQ = correct sequence/order
  • SCI-SEC-Z2-STR-CLAIM = claim supported by evidence/data
  • SCI-SEC-Z2-STR-JUST = justification quality
  • SCI-SEC-Z3-STR-TIMED = stable structure under time

Failures

  • keyword dump → SCI-SEC-Z0-STR-KWD-P1
  • wrong order → SCI-SEC-Z1-STR-SEQ-P0
  • no justification → SCI-SEC-Z2-STR-JUST-P0

Repairs

  • 2-mark / 3-mark templates
  • “sequence lock” drills
  • claim→data→explain format

F) Exam Control (SCI-SEC-EXM)

Core nodes

  • SCI-SEC-Z1-EXM-ALLOC = time allocation per section
  • SCI-SEC-Z2-EXM-ORDER = question order & skip logic
  • SCI-SEC-Z3-EXM-STABLE = stability under timed paper
  • SCI-SEC-Z3-EXM-RECOV = recovery after error/panic

Failures

  • spends too long on hard questions → SCI-SEC-Z1-EXM-ALLOC-P0
  • panic & blanks → SCI-SEC-Z3-EXM-RECOV-P0

Repairs

  • stop-loss rule (move on after X minutes)
  • “first-pass easy marks” strategy

4) Bio/Chem/Physics Snap-In (Optional Node Tags)

To keep it universal, you can add domain tags:

  • ...-BIO for biology-type
  • ...-CHE for chemistry-type
  • ...-PHY for physics-type

Example:

  • SCI-SEC-Z2-MEC-STEPS-BIO-P1
  • SCI-SEC-Z1-EXP-VAR-CHE-P0

This lets you expand later without breaking the grammar.

5) Cross-Lane Routing Examples (Real Diagnosis)

Case 1: “Student writes long answers but low marks”

Likely:

  • weak keyword selection + weak sequence
    Codes:
  • SCI-SEC-Z0-STR-KWD-P1
  • SCI-SEC-Z1-STR-SEQ-P0

Repair:

  • mark scheme keyword targeting + template enforcement

Case 2: “Can do theory but experiments always wrong”

Codes:

  • SCI-SEC-Z1-EXP-VAR-P0
  • SCI-SEC-Z1-EXP-FAIR-P1

Repair:

  • IV/DV/control drills + fairness sentence template

Case 3: “Graph questions destroy them”

Codes:

  • SCI-SEC-Z1-DAT-READ-P0
  • SCI-SEC-Z2-DAT-CALC-P0

Repair:

  • axis-first protocol + units & plausibility checks

6) Why This Completes eduKateSG (School Spine)

Now your site has:

✅ Primary Math / English / Science
✅ Secondary English
✅ Secondary Science

The only remaining mainstream closure page is:

OLEVEL-OS (Outcome Reliability Under Variation + Time)

That wrapper ties:

  • ENG-SEC
  • SCI-SEC
  • MTH-SEC (E/A Math)
    into one “exam reliability OS”.

Next

I will write OLEVEL-OS as the system wrapper with lattice codes + routing.