UK ↔ Singapore Nation Comparative (Z6↔Z6) — Almost-Code (v1.1)

SYSTEM: World Education OS
MODULE: Nation↔Nation Comparative
PAIR:
  NATION_A: United Kingdom (GBR) — Z6 Nation Education OS
  NATION_B: Singapore (SGP) — Z6 Nation Education OS
REFERENCE: CivOS (P0–P3, Z0–Z7)
PURPOSE:
  Compare mechanism signatures:
    - gate structure
    - tails and variance
    - repair latency
    - transfer and timed stability
    - shadow repair dependence
  Then export repair mechanisms (GR*) across nations.

COMPARISON RULES (LOCK):
  - No rankings
  - Compare tails, variance, and repair latency
  - Identify dominant GF clusters
  - Export GR mechanisms with proof requirements

SIGNATURES:
  GBR failure signature:
    Divergence + hidden tails + discontinuity → late repair → gate failures cluster unevenly.
  SGP failure signature:
    Compression ramps + stakes density → late repair → timed execution cliffs.

GATE STACKS:
GBR (Nation gates):
  G1 foundation readiness (language/numeracy)
  G2 primary→secondary transition
  G3 GCSE gate
  G4 post-16 routing
  G5 A-Level gate
  G6 post-18 transition/remediation
SGP (Nation gates):
  S1 foundation readiness
  S2 primary ramp + PSLE gate
  S3 secondary subject routing gate (Sec2→3)
  S4 O/N verification gate
  S5 post-sec routing (JC/Poly/ITE)

MECHANIC DIFFERENCE:
  GBR: more pathway diversity + region/school variance + longer horizons
  SGP: fewer pathways but sharper compression ramps + earlier high-stakes synchronisation

DIMENSIONS:
  D1 Compression intensity (pace + stakes density)
  D2 Divergence intensity (regional/school variance)
  D3 Tail thickness persistence (P0 clusters)
  D4 Repair latency distribution (drift→stability timing)
  D5 Transition shock clustering (gates)
  D6 Timed vs untimed gap
  D7 Transfer gap under novelty
  D8 Shadow repair dependence (private support masking factor)
  D9 Discontinuity/reset risk (curriculum churn / turnover)
  D10 Endurance stability (long-paper fatigue; mainly post-16)

EXPECTED SHAPE:
  GBR:
    D1 MID
    D2 HIGH
    D3 MID-HIGH (clustered)
    D4 often LONG in tails
    D5 HIGH at primary→secondary + GCSE/A-Level ramps
    D6 MID (varies by school/track)
    D7 MID-HIGH (transfer differs widely)
    D8 MID-HIGH (private tutoring uneven)
    D9 MID-HIGH (discontinuity risk)
    D10 HIGH relevance (A-Level long papers)
  SGP:
    D1 HIGH
    D2 LOW-MID
    D3 MID (can be masked)
    D4 bimodal (early repair possible, but late ramp common)
    D5 VERY HIGH at PSLE + Sec2→3 + O/N verification
    D6 HIGH relevance (timed cliffs)
    D7 MID-HIGH (format shifts trigger collapse)
    D8 HIGH (tuition layer strong)
    D9 LOW-MID (more uniform system)
    D10 MID relevance (endurance exists but less dominant than timed cliffs)

GF CLUSTER (GBR dominant):
  {GF1, GF4, GF5, GF7, GF8, GF9, GF10, GF11, (GF12 track-dependent)}
GF CLUSTER (SGP dominant):
  {GF1, GF2, GF3, GF5, GF6, GF7, GF8, GF9, (GF12 pressure-dependent)}

PRIMARY CONTRAST:
  GBR: GF4 (divergence + tails) and GF11 (continuity fragmentation) are more structural.
  SGP: GF3 (compression without buffers) and GF6 (timed execution collapse) are more structural.

BOTH MUST PUBLISH (G-M*):
  G-M1 variance spread
  G-M2 tail thickness
  G-M3 repair latency distribution
  G-M4 transition shock clustering
  G-M5 timed vs untimed gap
  G-M6 transfer gap under novelty
  G-M7 shadow repair dependence index

GBR INSTRUMENTATION EMPHASIS:
  - publish G-M1/G-M2/G-M3 by region/school cluster (tails + latency)
  - require closure metrics after interventions
SGP INSTRUMENTATION EMPHASIS:
  - publish G-M5/G-M6 around ramps (timed + transfer near PSLE/Sec2→3/O/N)
  - publish tuition masking factor (G-M7) explicitly

EXPORT SET (GBR → SGP):
  E-GBR1 (GR7): Tail Visibility Protocol
    - make hidden pockets visible earlier
    - reduce tuition-masked P0 survival into late ramps
  E-GBR2 (GR9): Cluster Targeting Protocol
    - route repair capacity by tail thickness + repair latency
    - prevent “average illusion” complacency
  E-GBR3 (GR6): Continuity Loop
    - protect consolidation during high-pressure ramps
    - reduce reset cycles and volatility
  E-GBR4 (GR10): Standardised Repair Protocols (cross-school portability)
    - survive teacher variation and reduce “depends on teacher” risk

PROOF REQUIREMENTS FOR EXPORT (GBR → SGP):
  - G-M2 tails shrink before PSLE/Sec2→3
  - G-M3 repair latency shortens
  - P-S5 volatility reduces near ramps

EXPORT SET (SGP → GBR):
  E-SGP1 (GR8): Early-Warning Thresholds (pre-ramp triggers)
    - enforce repair BEFORE GCSE/A-Level ramps
    - reduce late repair trap (GF7)
  E-SGP2 (GR4): Time-Pressure Loop (execution stability)
    - reduce timed collapse volatility
    - improve gate performance reliability
  E-SGP3 (GR2): Error-Log Closure Loop (systematic repeat elimination)
    - decrease error-repeat density
    - measurable stability gains
  E-SGP4 (GR12): Algebra Readiness Stabilisation (gate protection)
    - protect the GCSE→A-Level transition
    - reduce mid/late-stage collapse at abstraction jump

PROOF REQUIREMENTS FOR EXPORT (SGP → GBR):
  - G-M3 repair latency decreases before GCSE/A-Level ramps
  - G-M5 timed gap decreases (clustered)
  - AL-S1 chain stability improves (post-16)

GBR FAILURE TRACE:
  GF1 language drift persists →
  GF4 divergence hides tails →
  GF11 continuity fragmentation resets loops →
  GF7 late repair becomes normal →
  gate failures cluster unevenly at GCSE/A-Level
SGP FAILURE TRACE:
  GF1 or GF2 early drift →
  GF3 compression ramps exceed buffers →
  GF6 timed execution collapses →
  GF7 late repair trap →
  cliff failures at PSLE/Sec2→3/O/N gates

SHARED REPAIR TRACE:
  publish tails + latency →
  trigger early repair →
  run transfer audits + timed stability training →
  verify closure before gates →
  shrink tails and reduce volatility

PORTS:
  - GBR Nation Education OS (Z6)
  - SGP Nation Education OS (Z6)
  - UK Verification OS (GCSE OS + A-Level OS)
  - Singapore Verification OS modules (PSLE OS, O-Level OS) (future)
  - W2 Nation Aggregates Registry
  - W3 Comparative Registry
  - W4 GF Library
  - W5 GR Library

LOCK:
  UK and Singapore succeed by different structures and fail differently:
    UK: divergence + tails + discontinuity → late repair → clustered gate failure.
    SG: compression ramps + timed execution cliffs → late repair → cliff gate failure.
  World Education OS adoption happens when:
    both publish tails/variance/latency and exchange GR exports with proof.