Dynamic Artifact Templates

Reusable structural templates for Analyzer, Observer, and Simulator outputs

Dynamic artifacts are structured objects generated by the Analyzer pipeline, the Triadic Observer, and the Transition Simulator. These templates ensure that all outputs—vectors, coherence events, drift traces, basin classifications, and narratives—follow a consistent, predictable schema across the Governance Substrate Model (GSM).

These templates are intentionally substrate‑agnostic, non‑ideological, and suitable for both machine and human consumption.

Structural Vector Template#

structural_vector:
  C: <number>   # centralization
  M: <number>   # method
  O: <number>   # oversight
  A: <number>   # access
  T: <number>   # timing
  metadata:
    source: <string>
    confidence: <0–1>

Used by:

vectorizer
DSL adapter
historical profiles
drift detection

Invariant Report Template#

invariant_report:
  invariants:
    - id: <string>
      status: aligned | tension | violated
      notes: <string>
  summary:
    aligned: <int>
    tension: <int>
    violated: <int>
  metadata:
    confidence: <0–1>

Used by:

invariant checker
coherence scoring
observer narratives

Physics Forces Template#

physics_forces:
  active_forces:
    - axis_pair: <C↔O | M↔A | O↔T>
      magnitude: <number>
      direction: positive | negative
      notes: <string>
  compensatory_movements:
    - axis: <C|M|O|A|T>
      adjustment: <number>
  metadata:
    physics_version: <string>

Used by:

physics engine
drift detection
basin movement analysis

Basin Classification Template#

basin_classification:
  nearest_basin: <CPL | CPF | CTR | PCL | HCL>
  basin_distance: <number>
  stability_score: <0–1>
  movement: approaching | departing | stable
  metadata:
    basin_version: <string>

Used by:

basin classifier
transition pathway engine
observer layer

Drift Event Template#

drift_event:
  event_id: <string>
  timestamp: <string>
  drift_vector: [<dC>, <dM>, <dO>, <dA>, <dT>]
  drift_magnitude: <number>
  drift_category: micro | meso | macro | regime_shift
  active_forces: <list>
  invariant_tension_score: <number>
  absorptive_strength: <number>
  basin_movement_direction: approaching | departing | crossing
  narrative: <string>
  metadata:
    source: drift_detector

Used by:

drift detection
coherence event schema
observer timelines

Transition Path Template#

transition_path:
  start_basin: <string>
  end_basin: <string>
  steps:
    - basin: <string>
      cost: <number>
      notes: <string>
  total_cost: <number>
  metadata:
    graph_version: <string>

Used by:

transition graph engine
simulator
educational modules

Observer Lens Template#

observer_lens:
  history:
    vector: <structural_vector>
    drift_signals: <list>
    notes: <string>
  now:
    vector: <structural_vector>
    coherence_score: <number>
    basin: <string>
  future:
    projected_drift: <list>
    transition_signals: <list>
    notes: <string>
  metadata:
    observer_version: <string>

Used by:

triadic observer
dashboards
narrative generation

Narrative Template#

structural_narrative:
  summary: <string>
  key_events:
    - <string>
  coherence_highlights:
    - <string>
  drift_explanation:
    - <string>
  basin_context:
    - <string>
  metadata:
    generated_by: analyzer

Used by:

Analyzer output
UI cards
student worksheets

Dynamic Card Template (UI‑Facing)#

dynamic_card:
  title: <string>
  vector: <structural_vector>
  basin: <string>
  coherence_score: <number>
  drift_magnitude: <number>
  key_forces: <list>
  narrative_snippet: <string>
  links:
    - label: <string>
      target: <string>
  metadata:
    card_version: <string>

Used by:

dashboards
interactive teaching tools
governance comparison views

Purpose of These Templates#

These templates ensure:

consistent structure across all Analyzer outputs
predictable schemas for UI and API integration
easy extension for new modules
compatibility with the triadic observer
clarity for students and contributors

They form the backbone of the GSM’s artifact ecology.

Updated Mar 4, 2026