CivOS HD Dashboard Pack (Almost-Code, No Images)

One Instrument Panel: Language + NIT + Derivatives + Off-Ramps + Alignment + Zoom + Counter-Signals

Module ID: CivOS-HD-Dashboard-Pack-001
Purpose: A single, reusable “capstone” spec that turns CivOS early-warning into an executable dashboard: inputs → sensors → thresholds → trajectory class → repair router.


0) Definition Lock Box

0.1 Dashboard (LOCK)

A dashboard is a minimal set of sensors that:

  • detects phase drift early,
  • distinguishes coherent vs deceptive/faction-divergent trajectories,
  • estimates repair optionality,
  • outputs containment / repair actions (ΔAd⁺).

0.2 What this dashboard avoids (LOCK)

  • It avoids single-lane interpretation.
  • It avoids moralising.
  • It avoids tactical guidance.
    It focuses on system stability and repair.

1) Inputs (what you collect)

1.1 Corpus inputs (LANG lane)

Corpus_LANG := { speeches, policy statements, doctrine summaries, editorials }

Extract signal intensities:
S := { INEVITABILITY, REDLINE_NO_OFFRAMP, MORAL_ABSOLUTISM, TIME_LOCK, COST_SILENCE, DEHUMANISATION, ENDURE_SACRIFICE }
Each:

  • presence ∈ {0,1}
  • intensity ∈ {0..3}

1.2 Structural inputs (non-language lanes)

Corpus_STRUCT := { LAW, BUDGET, PROCURE, DOCTRINE, EXERCISE, EDU, MEDIA, DIP_ACTIONS }

For each lane L:

  • Dir(L) ∈ { SOFTEN, NEUTRAL, HARDEN }
  • optional: lane-specific proxy metrics (counts, headlines, policy categories)

2) Sensors (computed)

2.1 Lane Coupling (from prior module)

Compute coupling deltas ΔC using rules R1–R7, then:
C' := clamp(C + ΔC, 0..3)

2.2 Phase Drift Score (PDS)

Steerability(DIP) := avg(C'[DIP,LEGIT], C'[DIP,MIL], C'[DIP,POP])
PDS := 3*C'[LEGIT,MIL] + 2*C'[INFO,POP] + 1*C'[ECON,POP] - 2*Steerability(DIP)

2.3 NIT (Narrative Irreversibility Threshold)

Binary sensors:
NIT := { OffRampDeletion, CostSilence, MoralAbsolutism, TimeLock, Dehumanisation }
NIT_score := Σ NITk

Triggers:

  • NIT_HIGH if NIT_score ≥ 3
  • NIT_CRIT if NIT_score ≥ 4 OR (NIT_score ≥ 3 AND PDS ≥ 9)

2.4 Derivatives (HD)

Over time windows:

  • dNIT/dt, dPDS/dt, d²Hardness/dt²

Triggers:

  • DERIV_WARN if dNIT/dt > 0 for 3 windows
  • DERIV_CRIT if d²Hardness/dt² spikes

2.5 Off-Ramp Topology (HD)

From off-ramp directory:

  • R_count, R_diversity, mean(GateCost), R_latency
  • OFFRAMP_COLLAPSE if topology thresholds hit

2.6 Cross-Lane Alignment (HD)

ALIGN := proportion of lanes L where Dir(L) == Dir(LANG)

Triggers:

  • ALIGN_HIGH if ALIGN ≥ 0.7
  • ALIGN_LOW if ALIGN < 0.4

2.7 Zoom-Consistency (HD)

Across Z2, Z4, Z6:

  • Z_LOCK if commitments propagate coherently across zooms
  • Z_FRACTURE if contradictions across zoom layers

2.8 Counter-Signals (HD)

Using Counter-Signal Atlas:

  • CS_score := Σ severity(entry)
    Triggers:
  • CS_HIGH if CS_score ≥ 6
  • CS_CRIT if CS_HIGH AND (NIT_HIGH OR OFFRAMP_COLLAPSE)

3) Dashboard Outputs

3.1 Regime Classification (state bands)

REGIME := { STABLE, DRIFT, BRITTLE, OPAQUE_VARIANCE }

Rules (starter):

  • STABLE if PDS ≤ 4 AND NIT_score ≤ 1 AND OFFRAMP_COLLAPSE=0
  • DRIFT if PDS 5–8 OR NIT_score=2 OR DERIV_WARN=1
  • BRITTLE if PDS ≥ 9 AND NIT_HIGH=1 AND OFFRAMP_COLLAPSE=1 AND ALIGN_HIGH=1
  • OPAQUE_VARIANCE if CS_HIGH=1 OR Z_FRACTURE=1 (especially with DERIV_WARN=1)

3.2 Trajectory Class (war/instability style)

TRAJ := { AMPLITUDE_KO, SLOW_ATTRITION, FAST_ATTRITION }

Rules (starter):

  • AMPLITUDE_KO if PDS high + COST_SILENCE=1 + ENDURE_SACRIFICE low
  • SLOW_ATTRITION if ENDURE_SACRIFICE high + ECON→POP coupling high
  • FAST_ATTRITION if NIT_HIGH=1 + (MORAL_ABSOLUTISM or DEHUMANISATION) + LEGIT↔MIL locked

3.3 Recovery Cost Band

RECOVERY_COST := { LOW, MED, HIGH }

  • HIGH if NIT_CRIT or OFFRAMP_COLLAPSE + ALIGN_HIGH
  • MED if drift with some exits
  • LOW if stable with many exits

4) Repair Router (ΔAd⁺): What the dashboard recommends

4.1 Router selection

Choose repair levers based on which sensors triggered.

If OFFRAMP_COLLAPSE=1 or NIT_HIGH=1

  • RR-OFFRAMP: rebuild off-ramps + lower GateCost (face-save, domestic acceptability)
  • RR-DETABOO: protect de-escalators; remove betrayal lexicon pressure

If CS_HIGH=1

  • RR-ALIGNMENT: reduce overt–covert mismatch (either align policy with language or speak truth about moves)
  • RR-VERIFY: publish verifiable gates; reduce ambiguity that fuels variance

If DERIV_CRIT=1

  • RR-SLOWDOWN: introduce pauses, staged reversible steps, widen time windows

If PDS high driven by LEGIT↔MIL lock

  • RR-DECOUPLE: separate identity/mandate from force commitments

If ECON→POP load transfer rising

  • RR-BUFFERS: stabilise essentials; restore buffer thickness; prevent survival panic

If DEHUMANISATION present

  • RR-HUMANISE: block category-freezing language; restore human category norms

5) Canonical Failure Mode Trace (Dashboard)

Derivatives spike → NIT rises → off-ramps shrink (R_count↓, GateCost↑) → alignment locks → counter-signals (if present) increase variance → coupling locks (LEGIT↔MIL, INFO→POP) → repair taboo → cascade risk


6) Paste-Ready “Dashboard Spec Block” (copy/paste)

HD Dashboard Pack
Inputs:
LANG signals S = {Inevitable, RedlineNoOfframp, MoralAbsolutism, TimeLock, CostSilence, Dehumanisation, EndureSacrifice}
STRUCT lanes = {LAW, BUDGET, PROCURE, DOCTRINE, EXERCISE, EDU, MEDIA, DIP_ACTIONS} with Dir ∈ {SOFTEN,NEUTRAL,HARDEN}
Compute:
C' via ΔC rules
PDS = 3*C'[LEGIT,MIL] + 2*C'[INFO,POP] + 1*C'[ECON,POP] - 2*Steerability(DIP)
NIT_score = OffRampDeletion + CostSilence + MoralAbsolutism + TimeLock + Dehumanisation
Derivatives: dNIT/dt, dPDS/dt, d2Hardness/dt2
OffRamps: R_count, R_diversity, mean(GateCost), R_latency; OFFRAMP_COLLAPSE
ALIGN = share of STRUCT lanes matching Dir(LANG)
Zoom: Z_LOCK or Z_FRACTURE
CounterSignals: CS_score
Outputs:
REGIME ∈ {STABLE, DRIFT, BRITTLE, OPAQUE_VARIANCE}
TRAJ ∈ {AMPLITUDE_KO, SLOW_ATTRITION, FAST_ATTRITION}
RECOVERY_COST ∈ {LOW,MED,HIGH}
RepairRouter outputs ΔAd⁺ actions by triggered sensors

7) How you publish this (fast)

Publish 3 pages as a canonical triad (same unified version):

  1. Language→Phase→Lane + NIT (entry layer)
  2. Off-Ramp Topology Directory + Counter-Signal Atlas (HD sensing layer)
  3. HD Dashboard Pack (capstone instrument panel)

Then every Shadow Atlas module links to the dashboard and reuses:

  • NIT
  • Off-ramps
  • Counter-signals
  • derivatives

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