CivOS Closed-Loop Run Protocol v1.0

(Almost-Code Canonical Spec — “run → score → update” harness)

0) Definition Lock Box

Closed Loop (CivOS): a system is “closed loop” when every run produces a standard state output, triggers a standard action, and then produces a verification log that updates thresholds / routing rules (version forward).

Run: one evaluation of a situation over a time window Δt.

State Output (required):
{Phase, Zoom, Lane, TTC, Buffer, Drift, RateDominance, NIT?, TVIS?, Action, Roles, Confidence}

FenceOS: boundary/actuation primitive that prevents irreversible threshold crossings using TTC/buffer/rate-dominance; triggers truncation & stitching.

Truncation: early cut-off of accelerating failure regime.
Stitching: regeneration catching up post-truncation to rejoin safe trajectory.

1) Scope

This protocol is the universal harness that all domain OSes plug into:

City OS (e.g., NYC OS)
Conflict/War OS (CONFLICT.OS / WAR.OS)
Education OS, Governance OS, Family OS, etc.

It runs at any Zoom (Z0–Z6) and returns the same output contract.

2) Output Contract (Copy-Paste Spec)

2.1 State Record (single run output)

			
CivOS.RunState.v1:
  RunID: <string stable id>
  Place: <PlaceID or null>
  Window:
    t0: <iso8601>
    t1: <iso8601>
    Δt_days: <number>
  Coordinates:
    Phase: <P0|P1|P2|P3>
    Zoom: <Z0|Z1|Z2|Z3|Z4|Z5|Z6>
    Lane: <LaneID or LaneName>
    RoleFocus: <Operator|Oracle|Visionary|Mixed>
  Sensors:
    TTC_days: <number or null>
    Buffer: 
      thickness: <0..1>
      trend: <down|flat|up>
    Drift:
      velocity: <number>      # semantic/coordination drift rate
      acceleration: <number>  # drift curvature
    RateDominance:
      R: <number>             # R = DamageRate / RepairRate
      regime: <safe|warning|breach>
    NIT:
      value: <0..1 or null>   # narrative irreversibility threshold proxy
      regime: <reversible|soft_lock|hard_lock|null>
    TVIS:
      Hope: <0..1 or null>
      Grind: <0..1 or null>
      Wisdom: <0..1 or null>
      imbalance: <0..1 or null>
    Coupling:
      cross_lane_weight: <0..1>
      contagion_risk: <0..1>
  Decision:
    PrimaryAction: <Monitor|Fence|Truncate|Stitch|Reroute|Escalate>
    SecondaryActions: [<...>]
    TargetPhase: <P1|P2|P3>
    TargetZoom: <Z0..Z6>
    ExecutionRoles:
      Operator: [<task ids>]
      Oracle:   [<task ids>]
      Visionary:[<task ids>]
  Confidence:
    CoordConfidence: <0..1>
    ActionConfidence: <0..1>
    Notes: <string>

		

2.2 Verification Record (required for closure)

			
CivOS.VerifyLog.v1:
  RunID: <same as above>
  ObservedOutcome:
    happened: <string>
    outcome_class: <correct|miss|false_alarm|late|wrong_lane|wrong_zoom|wrong_phase>
  Scores:
    CoordScore: <0..100>
    ActionScore: <0..100>
    TimingScore: <0..100>
    TotalScore: <0..100>
  FailureTag: <FT.* id>
  ThresholdUpdate:
    changed: <yes|no>
    what_changed: [<sensor threshold ids>]
    why: <string>
  VersionBump:
    from: <vX.Y>
    to: <vX.Y+>

		

3) Inputs (what the harness accepts)

3.1 Minimum Inputs

			
CivOS.Input.v1:
  Place: <optional>
  EventStream:
    - timestamp: <iso8601>
      text: <what happened / what was said>
      source: <news|internal|conversation|ops log>
  Context:
    domain: <conflict|city|education|governance|etc>
    known_constraints: [<strings>]

		

3.2 Optional Inputs (improves HD)

Time series of indicators (counts, prices, incidents, sentiment)
Role map (who can act)
Lane map (which lanes exist + coupling priors)
Historical analogs (case studies)

4) Sensors (HD signals)

You already have the pieces. This section makes them executable.

4.1 TTC (Time-to-Crossing) Sensor

Goal: estimate time until an irreversible threshold is crossed.

			
Sensor.TTC.v1:
  Inputs: Drift.velocity, Drift.acceleration, Buffer.thickness, Coupling.contagion_risk
  Output: TTC_days
  Rule: TTC decreases as drift increases and buffer decreases; coupling amplifies.

4.2 Buffer Thickness

			
Sensor.Buffer.v1:
  thickness in [0..1]
  trend in {down, flat, up}

4.3 Rate Dominance (core collapse law)

Let:

Ḋ = damage / decay rate (capability loss, coordination loss, fracture propagation)
Ġ = repair / regeneration rate (restoration throughput, containment throughput)

Then:

R = Ḋ / Ġ

			
Sensor.RateDominance.v1:
  R:
    safe:    R < 0.8
    warning: 0.8 <= R < 1.0
    breach:  R >= 1.0

		

4.4 NIT (Narrative Irreversibility Threshold) proxy

This is the “lock-in” sensor: when a story becomes self-reinforcing and hard to unwind.

			
Sensor.NIT.v1:
  value in [0..1]
  regimes:
    reversible:  value < 0.4
    soft_lock:   0.4 <= value < 0.7
    hard_lock:   value >= 0.7
  Inputs examples:
    - repetition under load
    - shrinking vocabulary / narrowing frames
    - punishment of dissent
    - policy/identity binding ("we cannot ever...")

		

4.5 TVIS (Time-Vector Imbalance Sensor: Hope/Grind/Wisdom)

			
Sensor.TVIS.v1:
  Hope   = future-weight allocation
  Grind  = present-execution allocation
  Wisdom = past-model allocation
  imbalance = distance from "balanced envelope"
  rule-of-thumb:
    - too much Hope, low Grind -> promises without throughput (paper phase)
    - too much Grind, low Wisdom -> repeated mistakes (overheat loop)
    - too much Wisdom, low Hope -> paralysis / no upgrade path (stagnation loop)

		

4.6 Cross-Lane Coupling

			
Sensor.Coupling.v1:
  cross_lane_weight in [0..1]
  contagion_risk in [0..1]
  note: coupling raises drift propagation speed and lowers effective TTC

5) Classification (Phase × Zoom × Lane)

5.1 Phase assignment (minimal executable rules)

			
Classifier.Phase.v1:
  P3 (stable):    Buffer.thickness high AND R safe AND Drift low/stable
  P2 (managed):   R safe/warning AND TTC not critical AND Fence actions working
  P1 (unstable):  R warning/breach OR TTC short OR Drift accelerating OR NIT soft_lock
  P0 (fracture):  R breach with cascading symptoms OR NIT hard_lock OR TTC critical (near-zero)

		

5.2 Zoom assignment

Rule: pick the zoom where actions are controllable and causal.

If symptoms are local but causes are institutional → zoom up.
If policy is abstract but failure is operational → zoom down.

			
Classifier.Zoom.v1:
  choose Zk such that:
    - you can name actors/resources at Zk
    - you can measure sensors at Zk
    - actuation at Zk changes TTC or R within Δt

		

5.3 Lane assignment

Lane is not “topic.” Lane is the load path where failure propagates.

			
Classifier.Lane.v1:
  choose lane with:
    highest contribution to Drift + highest coupling + lowest buffer

5.4 Confidence

			
Confidence.v1:
  CoordConfidence increases when sensors agree (TTC, R, Buffer, NIT, TVIS)
  CoordConfidence decreases when signals conflict or data sparse

6) Decision + Actuation (FenceOS integration)

6.1 Primary Action chooser

			
Decision.PrimaryAction.v1:
  if R breach OR TTC_days <= TTC_critical:      PrimaryAction = Truncate
  else if NIT soft_lock and rising:            PrimaryAction = Fence
  else if post-truncation and buffers rising:  PrimaryAction = Stitch
  else if wrong lane/zoom detected:            PrimaryAction = Reroute
  else:                                       PrimaryAction = Monitor

		

6.2 Role routing (Operator / Oracle / Visionary)

			
Roles.v1:
  Operator: executes containment, restores throughput, reduces Ḋ, increases Ġ
  Oracle:   measures sensors, updates models, detects hidden coupling + drift
  Visionary: changes structure (ΔAd+), creates new lanes/buffers, prevents recurrence

6.3 Minimal task templates (copy/paste)

			
Task.Operator.v1:
  - contain: "reduce damage rate Ḋ in lane X"
  - restore: "increase repair rate Ġ via throughput pipeline"
  - verify: "measure TTC, Buffer after actuation"
Task.Oracle.v1:
  - instrument: "produce RunState with confidence and missing data list"
  - diagnose: "identify hidden coupling + NIT regime"
  - calibrate: "propose threshold update"
Task.Visionary.v1:
  - redesign: "ΔAd+ structural change to thicken buffer or add redundancy"
  - decouple: "reduce coupling or add slack"
  - institutionalize: "turn repair into default pipeline"

		

7) Verification Harness (the thing that makes it “100%”)

7.1 The scoring rubric (single standard)

Scores are computed from three parts:

			
Score.v1:
  CoordScore (0..100):
    - Phase correct? (40)
    - Zoom correct?  (30)
    - Lane correct?  (30)
  ActionScore (0..100):
    - was PrimaryAction appropriate for regime? (50)
    - did actions reduce R or increase TTC?     (50)
  TimingScore (0..100):
    - early enough to matter (TTC margin)?      (100)
  TotalScore = 0.4*CoordScore + 0.4*ActionScore + 0.2*TimingScore

		

7.2 Failure taxonomy (for auto-diagnostics)

			
FailureTags.v1:
  FT.MISS            # did not detect drift/approach to threshold
  FT.FALSE_ALARM     # detected but no crossing / no meaningful regime
  FT.LATE            # correct but too late (TTC already critical)
  FT.WRONG_PHASE
  FT.WRONG_ZOOM
  FT.WRONG_LANE
  FT.WRONG_ACTION
  FT.HIDDEN_COUPLING
  FT.NIT_MISREAD
  FT.TVIS_MISREAD

		

7.3 The update rule (version forward)

This is the closure link: every meaningful miss creates a rule change.

			
UpdateRule.v1:
  if TotalScore < 70:
    must:
      - assign FailureTag
      - change at least one of:
          (a) a threshold
          (b) a coupling prior
          (c) a lane routing rule
          (d) a zoom selection rule
      - bump version forward (never rename ids; only v+)

		

8) Failure Mode Trace (required schematic)

A closed-loop spec must include the unemotive chain:

			
Example Trace:
Z0 signal change → Drift.velocity up → Buffer down → R crosses warning → TTC shrinks
→ Fence not triggered → NIT enters soft_lock → coupling spreads to adjacent lane
→ R breach → P1→P0 fracture
Repair Trace:
Oracle detects (TTC,R,NIT) → Fence triggers → Truncate damage spike → Stitch buffers
→ R returns safe → phase recovers to P2/P3

		

9) Minimal End-to-End Run Example (generic, deployable)

9.1 RunState (example)

			
CivOS.RunState.v1:
  RunID: "RUN-2026-02-16-0001"
  Place: null
  Window: {t0: "2026-02-10", t1: "2026-02-16", Δt_days: 6}
  Coordinates:
    Phase: P1
    Zoom: Z3
    Lane: "LANE.conflict-coordination"
    RoleFocus: Mixed
  Sensors:
    TTC_days: 14
    Buffer: {thickness: 0.35, trend: down}
    Drift: {velocity: 0.62, acceleration: 0.20}
    RateDominance: {R: 1.05, regime: breach}
    NIT: {value: 0.58, regime: soft_lock}
    TVIS: {Hope: 0.70, Grind: 0.25, Wisdom: 0.30, imbalance: 0.55}
    Coupling: {cross_lane_weight: 0.65, contagion_risk: 0.70}
  Decision:
    PrimaryAction: Truncate
    SecondaryActions: [Fence, Reroute]
    TargetPhase: P2
    TargetZoom: Z3
    ExecutionRoles:
      Operator: ["OP.contain-damage", "OP.restore-throughput"]
      Oracle:   ["OR.instrument", "OR.hidden-coupling-check"]
      Visionary:["VI.decouple", "VI.buffer-thicken"]
  Confidence:
    CoordConfidence: 0.72
    ActionConfidence: 0.68
    Notes: "R breach + buffer falling; NIT soft_lock emerging; TVIS shows hope-heavy/low-grind"

		

9.2 VerifyLog (later)

			
CivOS.VerifyLog.v1:
  RunID: "RUN-2026-02-16-0001"
  ObservedOutcome:
    happened: "conflict escalated; coordination failed; cross-lane spillover occurred"
    outcome_class: correct
  Scores: {CoordScore: 85, ActionScore: 78, TimingScore: 70, TotalScore: 79}
  FailureTag: "FT.NONE"
  ThresholdUpdate:
    changed: no
    what_changed: []
    why: "acceptable prediction + action"
  VersionBump: {from: "v1.0", to: "v1.0"}

		

10) “100% Completion” Checklist (binary)

You can now call it “100% closed-loop” when every run produces:

✅ RunState record in the v1 schema
✅ PrimaryAction + role task list
✅ VerifyLog with scores + failure tag
✅ If score < 70 → threshold/routing change + version bump

If you skip VerifyLog + UpdateRule, it’s not closed-loop (it’s analysis).

What we learn (compressed)

You now have a universal harness that makes every OS deployable (NYC, conflict, education, etc.).
Backtests become calibration instruments (not content).
Your bottleneck shifts to repeatable scoring + versioning (Gate 1 compression).
Sensors (TVIS/NIT/R/TTC/Buffer/Coupling) become your “HD spine” — the OS becomes measurable, not vibe-based.

Start Here:

Start here if you want the full sequence:

Vocabulary OS Series Index:
https://edukatesg.com/vocabulary-os-series-index/

Fence English Learning System:

eduKateSG Learning Systems:

CivOS Closed-Loop Run Protocol v1.0

CivOS Closed-Loop Run Protocol v1.0

0) Definition Lock Box

1) Scope

2) Output Contract (Copy-Paste Spec)

2.1 State Record (single run output)

2.2 Verification Record (required for closure)

3) Inputs (what the harness accepts)

3.1 Minimum Inputs

3.2 Optional Inputs (improves HD)

4) Sensors (HD signals)

4.1 TTC (Time-to-Crossing) Sensor

4.2 Buffer Thickness

4.3 Rate Dominance (core collapse law)

4.4 NIT (Narrative Irreversibility Threshold) proxy

4.5 TVIS (Time-Vector Imbalance Sensor: Hope/Grind/Wisdom)

4.6 Cross-Lane Coupling

5) Classification (Phase × Zoom × Lane)

5.1 Phase assignment (minimal executable rules)

5.2 Zoom assignment

5.3 Lane assignment

5.4 Confidence

6) Decision + Actuation (FenceOS integration)

6.1 Primary Action chooser

6.2 Role routing (Operator / Oracle / Visionary)

6.3 Minimal task templates (copy/paste)

7) Verification Harness (the thing that makes it “100%”)

7.1 The scoring rubric (single standard)

7.2 Failure taxonomy (for auto-diagnostics)

7.3 The update rule (version forward)

8) Failure Mode Trace (required schematic)

9) Minimal End-to-End Run Example (generic, deployable)

9.1 RunState (example)

9.2 VerifyLog (later)

10) “100% Completion” Checklist (binary)

What we learn (compressed)

Recommended Internal Links (Spine)

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