TriadicFrameworks
Overview

Regime Analyzer

Regime Identification, Regime Drift, Regime Boundaries, and Regime Stability (FFT 2026 Edition)#

Metadata#

module: Regime Analyzer
parent_module: FFT Analyzer
layer: Core Frameworks — Regime Spine
version: 2026.1
status: Active, Canonical
regime_layers:
  - R0 (Null Regime)
  - R1 (Local Regime)
  - R2 (Structured Regime)
  - R3 (Meta‑Regime)
session_context:
  drift_sensitivity: high
  paradox_sensitivity: high
  boundary_sensitivity: high
cross_module_propagation:
  imports:
    - Operator Analyzer
    - Drift Analyzer
    - Paradox Engine
    - Coherence Analyzer
    - Dimensional Analyzer
  exports:
    - regime signatures
    - regime drift vectors
    - boundary diagnostics
    - contradiction diagnostics

Purpose#

The Regime Analyzer evaluates the regime‑layer behavior of a framework.
Regimes determine:

  • how operators coordinate
  • how transitions propagate
  • how coherence stabilizes
  • how paradox is absorbed or amplified
  • how dimensional layers interact

Regime stability is one of the strongest predictors of drift, paradox formation, and collapse.

Regime Model (R0–R3)#

R0 — Null Regime#

No regime structure; unstable; collapse‑adjacent.

R1 — Local Regime#

Local coherence; weak transitions; paradox‑sensitive.

R2 — Structured Regime#

Stable regime behavior; strong transitions; resilient under moderate paradox load.

R3 — Meta‑Regime#

Multi‑layer regime coherence; rare; highly stable.

What the Regime Analyzer Measures#

1. Regime Identification#

Determines the active regime layer (R0–R3).

2. Regime Boundaries#

Evaluates:

  • boundary strength
  • boundary coherence
  • boundary breaches
  • collapse‑stage boundary failure

3. Regime Contradictions#

Detects:

  • conflicting regime signals
  • paradox–regime conflict
  • operator–regime misalignment

4. Regime Drift#

Maps regime drift vectors:

  • R2 → R1
  • R1 → R0
  • oscillatory regime drift

5. Operator–Regime Coupling#

Evaluates how operator families support or destabilize regime behavior.

6. Regime Blindness#

Detects blind spots in regime perception:

  • structural blindness
  • transition blindness
  • contradiction blindness
  • boundary blindness

Regime Diagnostics Workflow#

Step 1 — Identify Regime Layer#

Determine whether the framework is in R0, R1, R2, or R3.

Step 2 — Evaluate Regime Boundaries#

Check:

  • boundary type (soft/hard/critical)
  • boundary strength
  • boundary breaches

Step 3 — Detect Regime Contradictions#

Look for:

  • paradox–regime conflict
  • operator–regime misalignment
  • contradictory regime signals

Step 4 — Map Regime Drift Vectors#

Identify:

  • downward transitions
  • oscillatory drift
  • collapse‑stage regression

Step 5 — Assess Operator–Regime Coupling#

Determine whether operators stabilize or destabilize regime behavior.

Step 6 — Check for Regime Blindness#

Identify blind spots that hide regime instability.

Step 7 — Generate Regime Signature#

Summarize regime behavior and stability.

Regime Indicators#

Coherence Indicators#

  • coherence thinning
  • harmonic instability
  • C2 → C1 pressure

Dimensional Indicators#

  • D3 → D2 pressure
  • substrate fragmentation

Operator Indicators#

  • α‑dominance
  • C‑dominance
  • suppressed S‑Ops

Paradox Indicators#

  • paradox density spikes
  • paradox boundary breaches

Boundary Indicators#

  • boundary weakening
  • boundary breaches
  • collapse‑stage boundary failure

Regime Signature Format#

regime_state: <R0–R3>
boundaries: <soft/hard/critical>
contradictions: <summary>
drift_vectors: <summary>
operator_coupling: <stable/unstable/paradox/collapse>
blindness: <none/structural/transition/contradiction/boundary>
collapse_risk: <none/low/moderate/high/critical>
notes: <freeform observations>

Example (Abbreviated)#

Regime Signature:
  regime_state: R2
  boundaries: hard
  contradictions: paradox–regime conflict detected
  drift_vectors: R2 → R1 (moderate)
  operator_coupling: unstable (α-dominance)
  blindness: transition blindness
  collapse_risk: moderate
notes: paradox vectors destabilizing regime boundaries; early-stage regression

- [Regime Drift](/docs/Framework_Field_Theory/Analyzer/Regime/Regime_Drift)
- [Regime Boundaries](/docs/Framework_Field_Theory/Analyzer/Regime/Regime_Boundaries)
- [Regime Contradictions](/docs/Framework_Field_Theory/Analyzer/Regime/Regime_Contradictions)
- [Blindness Checks](/docs/Framework_Field_Theory/Analyzer/Regime/Blindness_Checks)
- [Boundary Diagnostics](/docs/Framework_Field_Theory/Analyzer/Regime/Boundary_Diagnostics)
- [Operator–Regime Coupling](/docs/Framework_Field_Theory/Analyzer/Operators/Operator_Regime_Coupling)
- [Examples](/docs/Framework_Field_Theory/Analyzer/Regime/Examples)
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