TriadicFrameworks
Overview

Drift Examples

Worked Drift‑Classification Cases (2026 Edition)#

Overview#

These examples demonstrate how to analyze drift within Framework Field Theory (FFT).
Each example shows:

  • drift detection
  • drift classification (D0–D7)
  • drift vectors
  • collapse vectors
  • paradox‑induced drift
  • operator‑driven drift
  • final drift signature

These examples help students and AIs understand how the FFT Drift Analyzer interprets drift behavior across real frameworks.

Example 1 — Systems Thinking Framework#

Framework Description#

A model for understanding interactions, feedback loops, and emergent behavior in complex systems.

Declared Operators#

  • R (Relations)
  • T (Transitions)
  • E (Envelope)

Drift Analysis#

  • Category: D1 (Operator Drift)
  • Vector: B‑Ops suppressed
  • Magnitude: low
  • Collapse risk: none
  • Paradox exposure: low
  • Notes: missing boundary operators create mild drift but do not destabilize the framework.

Drift Drivers#

  • Operator imbalance (B‑Ops missing)
  • No paradox‑induced drift
  • No dimensional collapse vectors

Drift Signature#

drift_category: D1 (Operator Drift)
vector: B-ops suppressed
magnitude: low
collapse_risk: none
paradox_exposure: low
notes: boundary operators under-expressed; drift easily correctable

Example 2 — Ethical Decision Model#

Framework Description#

A structured model for evaluating ethical choices using principles, consequences, and context.

Declared Operators#

  • L (Lineage)
  • C (Coherence)
  • R (Relations)

Drift Analysis#

  • Category: D0 (No Drift)
  • Vector: none
  • Magnitude: none
  • Collapse risk: none
  • Paradox exposure: low
  • Notes: operator balance stable; coherence strong; no drift vectors detected.

Drift Drivers#

  • None — framework is stable
  • No paradox‑induced drift
  • No operator imbalance

Drift Signature#

drift_category: D0 (No Drift)
vector: none
magnitude: none
collapse_risk: none
paradox_exposure: low
notes: stable operator balance; coherence supports drift-free behavior

Example 3 — Narrative Analysis Model#

(This example directly continues from the Regime_Examples.md you have open — ref: turn0browsertab1)

Framework Description#

A model for analyzing narrative arcs, themes, and structural patterns.

Declared Operators#

  • R (Relations)
  • L (Lineage)
  • E (Envelope)

Drift Analysis#

  • Category: D2 (Dimensional Drift)
  • Vector: D3 → D2 (partial collapse)
  • Magnitude: moderate
  • Collapse risk: moderate
  • Paradox exposure: moderate
  • Notes: inconsistent operator use weakens dimensional stability and increases paradox load.

Drift Drivers#

  • Operator inconsistency (R/L/E imbalance)
  • Paradox‑induced drift
  • Dimensional collapse vector detected

Drift Signature#

drift_category: D2 (Dimensional Drift)
vector: D3→D2 (partial collapse)
magnitude: moderate
collapse_risk: moderate
paradox_exposure: moderate
notes: paradox exposure present; operator consistency required to restore dimensional stability

- [README](/docs/Framework_Field_Theory/Analyzer/Examples/README)
- [Example Analyses](/docs/Framework_Field_Theory/Analyzer/Examples/Example_Analyses)
- [Example Signatures](/docs/Framework_Field_Theory/Analyzer/Examples/Example_Signatures)
- [Operator Examples](/docs/Framework_Field_Theory/Analyzer/Examples/Operator_Examples)
- [Dimensional Examples](/docs/Framework_Field_Theory/Analyzer/Examples/Dimensional_Examples)
- [Regime Examples](/docs/Framework_Field_Theory/Analyzer/Examples/Regime_Examples)
- [Coherence Examples](/docs/Framework_Field_Theory/Analyzer/Examples/Coherence_Examples)
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