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Compilation Volume 6 Phase Scoring Rubric (0–100) for the 9-Node Corridor

Compilation Volume 6 Phase Scoring Rubric (0–100) for the 9-Node Corridor

Goal: convert P0–P3 into measurable scores per corridor, per node, and for the whole corridor—so the dashboard becomes computable and comparable over time.

AI Instruction (How to Score)

  1. Score each corridor (Finance / Shipping / Compute / Materials / Security) for each node that matters to that corridor.
  2. Use the 0–5 sub-scores below (simple, auditable).
  3. Convert to 0–100 Phase Score.
  4. Map score to P0–P3 bands.
  5. Output: corridor scores, node scores, the corridor-wide “Flight Readiness Score,” and the top 3 repair priorities.

0) Phase Score Bands (0–100 → P0–P3)

  • P0 (0–24): unsafe / failing / unreliable
  • P1 (25–49): works only with heavy scaffolding; breaks under load
  • P2 (50–74): reliable independent execution (defined scope)
  • P3 (75–100): robust under stress; absorbs shocks; can standardize/teach

(These are CivOS operational bands for instrumentation.)

1) The 5 Universal Sub-Scores (each 0–5)

You score the same five things everywhere:

  1. Continuity (C): can it keep operating during shocks?
  2. Surge Handling (S): can it handle load spikes without nonlinear failure?
  3. Interface Predictability (I): do partners know what happens under stress (RM-OS coherence)?
  4. Buffer Discipline (B): buffers inside BSB (not too thin, not too thick)?
  5. Recovery Speed (R): time to stabilize and time to normal (stitching capability)?

Each sub-score is 0–5:

  • 0: failed
  • 1: mostly failing
  • 2: fragile
  • 3: functional
  • 4: strong
  • 5: robust under stress

2) Convert Sub-Scores to Phase Score (0–100)

For any (node, corridor):

Step A — raw score (0–25)

Raw = C + S + I + B + R

Step B — convert to 0–100

PhaseScore = Raw × 4

(Simple and transparent.)

3) Corridor Weighting (how to build one corridor-wide score)

Not all corridors propagate equally fast. Use a default weighting:

  • Finance: 30%
  • Shipping: 25%
  • Compute: 20%
  • Materials: 15%
  • Security/Fragility: 10%

CorridorFlightReadiness = Σ (CorridorScore × Weight)

You can reweight for context (wartime, energy crisis, tech race, etc.), but always publish the weights.

4) Which Nodes Score on Which Corridors (so you don’t over-score noise)

You do not need every node on every corridor.

Finance Corridor (Weight 30%)

  • New York (primary)
  • Singapore (trade finance bridge)
  • Beijing (policy uncertainty effect)
  • Lebanon/Haiti (payment continuity stress tests)

Shipping Corridor (Weight 25%)

  • Singapore (primary)
  • Beijing (export/interface stability)
  • Indonesia (bulk/material routing)
  • Poland (substitute bridge)
  • Lebanon/Haiti (humanitarian corridor continuity)

Compute Corridor (Weight 20%)

  • Taiwan (foundry)
  • South Korea (HBM/memory)
  • Beijing (demand/procurement stability)
  • New York (capex/funding conditions)
  • Singapore (priority logistics)

Materials Corridor (Weight 15%)

  • Indonesia (primary)
  • Singapore (routing)
  • Beijing/South Korea/Poland (demand + substitution)
  • New York (funding/investment conditions)

Security Corridor (Weight 10%)

  • Haiti (primary)
  • Lebanon (stability proxy on services + trust)
  • Singapore/New York/Beijing (support + interface stability during crises)

5) Concrete Rubrics (What “0–5” means by corridor)

A) Finance Corridor Rubric (New York-centered)

  • Continuity (C): payment/settlement rails uptime
  • Surge (S): handles volatility without freezes
  • Interface (I): predictable crisis protocols (no whiplash)
  • Buffer (B): liquidity buffers inside safe band
  • Recovery (R): spreads normalize without prolonged credit drought

Examples

  • C=5: payments clear under extreme volatility
  • C=1: recurring settlement/payment failures

B) Shipping Corridor Rubric (Singapore-centered)

  • C: essential goods still flow
  • S: congestion doesn’t go nonlinear
  • I: customs/clearance predictable under load
  • B: inventories/slots managed inside BSB
  • R: backlog burn-down + schedule normalization speed

Examples

  • S=5: surge routing works; wait times controlled
  • S=1: small disruptions spiral into gridlock

C) Compute Corridor Rubric (Taiwan/Korea-centered)

  • C: fab/memory output continuity
  • S: can reconfigure allocation quickly
  • I: partners understand priority ladder
  • B: spares/materials buffers not hoarded/not empty
  • R: yield and output recover quickly after disruption

Examples

  • R=5: fast restart sequence; stable reduced output restored quickly
  • R=1: long downtime; yield collapse persists

D) Materials Corridor Rubric (Indonesia-centered)

  • C: output and export continuity
  • S: handles demand spikes without policy shock
  • I: rule stability (low variance)
  • B: energy/logistics buffers inside BSB
  • R: investment and output normalize after stress

Examples

  • I=5: rule clarity, no whiplash under stress
  • I=1: surprise restrictions, inconsistent enforcement

E) Security Corridor Rubric (Haiti/Lebanon stress tests)

  • C: hospitals/ports/fuel/food corridors usable
  • S: violence/disruption doesn’t cascade to core nodes
  • I: enforceable minimal rules exist (degraded-mode governance)
  • B: security capacity calibrated (not absent, not destabilizing)
  • R: services restore and stabilize within months, not years

Examples

  • C=5: core nodes protected even under stress
  • C=0–1: core nodes unusable; services collapse

6) The 9-Node Scorecard Template (copy/paste)

Use this block for each node:

Node:
Role:
Corridors scored: Finance / Shipping / Compute / Materials / Security
Sub-scores (0–5):

  • C: __
  • S: __
  • I: __
  • B: __
  • R: _ PhaseScore (0–100): _
    Phase band: P0 / P1 / P2 / P3
    Top 3 repairs: 1) _ 2) _ 3) _ Truncation triggers: _
    Stitch plan: __

7) The Whole-Corridor “Flight Readiness Score”

Each week/month, output:

  • FinanceScore (0–100)
  • ShippingScore (0–100)
  • ComputeScore (0–100)
  • MaterialsScore (0–100)
  • SecurityScore (0–100)
  • FlightReadiness (weighted 0–100)
  • Top 3 TTC risks (fastest paths to core)
  • Top 3 repair priorities (highest leverage upgrades)

8) How to Use Scores for Growth (not just monitoring)

If a corridor is P1 (25–49)

  • you don’t “optimize”
  • you activate MVO kits and stabilize interfaces first

If a corridor is P2 (50–74)

  • invest in surge handling + recovery speed (move to P3)

If a corridor is P3 (75–100)

  • standardize, teach, and export the protocol as a template (become a buffer node)

If you say “next”, I’ll write Compilation Volume 7: The Repair Routing Engine — a strict algorithm that takes the Phase scores + TTC and outputs (a) the top repair actions, (b) who must coordinate with who, and (c) the fastest “stitch” sequence back into the safe band.

Master Spine 
https://edukatesg.com/civilisation-os/
https://edukatesg.com/what-is-phase-civilisation-os/
https://edukatesg.com/what-is-drift-civilisation-os/
https://edukatesg.com/what-is-repair-rate-civilisation-os/
https://edukatesg.com/what-are-thresholds-civilisation-os/
https://edukatesg.com/what-is-phase-frequency-civilisation-os/
https://edukatesg.com/what-is-phase-frequency-alignment/
https://edukatesg.com/phase-0-failure/
https://edukatesg.com/phase-1-diagnose-and-recover/
https://edukatesg.com/phase-2-distinction-build/
https://edukatesg.com/phase-3-drift-control/

Block B — Phase Gauge Series (Instrumentation)

Phase Gauge Series (Instrumentation)
https://edukatesg.com/phase-gauge
https://edukatesg.com/phase-gauge-trust-density/
https://edukatesg.com/phase-gauge-repair-capacity/
https://edukatesg.com/phase-gauge-buffer-margin/
https://edukatesg.com/phase-gauge-alignment/
https://edukatesg.com/phase-gauge-coordination-load/
https://edukatesg.com/phase-gauge-drift-rate/
https://edukatesg.com/phase-gauge-phase-frequency/

The Full Stack: Core Kernel + Supporting + Meta-Layers

Core Kernel (5-OS Loop + CDI)

  1. Mind OS Foundation — stabilises individual cognition (attention, judgement, regulation). Degradation cascades upward (unstable minds → poor Education → misaligned Governance).
  2. Education OS Capability engine (learn → skill → mastery).
  3. Governance OS Steering engine (rules → incentives → legitimacy).
  4. Production OS Reality engine (energy → infrastructure → execution).
  5. Constraint OS Limits (physics → ecology → resources).

Control: Telemetry & Diagnostics (CDI) Drift metrics (buffers, cascades), repair triggers (e.g., low legitimacy → Governance fix).

Supporting Layers (Phase 1 Expansions)

Start Here for Lattice Infrastructure Connectors

Start Here