Governance Alignment Dashboard
A unified interface for structural analysis within the Governance Substrate Model (GSM)
The Governance Alignment Dashboard presents Analyzer outputs in a coherent, interpretable format. It integrates structural vectors, invariants, physics forces, basin alignment, drift signals, and observer‑layer context into a single visual environment. The dashboard is designed for researchers, students, and developers who need a clear view of structural coherence and system movement.
Dashboard Purpose#
The dashboard provides:
- a real‑time structural snapshot
- coherence scoring and invariant alignment
- drift magnitude and direction
- basin identity and stability
- transition pathway signals
- observer‑layer history/now/future context
- dynamic cards for comparison and teaching
It acts as the primary UI surface for the Analyzer.
Core Dashboard Sections#
Structural Snapshot#
Displays the system’s current structural vector and basin alignment.
- Vector:
[C, M, O, A, T] - Nearest basin: CPL | CPF | CTR | PCL | HCL
- Basin distance: numeric stability indicator
- Stability score: 0–1
This section anchors the dashboard in the governance manifold.
Coherence Overview#
Summarizes structural integrity using the coherence scoring model.
- Coherence score (0–100)
- Invariant alignment: aligned / tension / violated
- Awareness layer strength: structural, procedural, historical, anticipatory, relational
- Absorptive capacity: strength and failure signals
This section highlights where the system is structurally strong or strained.
Drift Monitor#
Tracks structural movement across time or between snapshots.
- Drift vector: Δ[C, M, O, A, T]
- Drift magnitude: micro | meso | macro | regime_shift
- Active forces: cross‑axis physics
- Invariant tension score
- Basin movement: approaching | departing | crossing
This section reveals whether the system is stable, drifting, or transitioning.
Transition Pathway Panel#
Shows the lowest‑cost structural transitions based on the transition graph.
- Start basin → end basin
- Intermediate steps
- Total transition cost
- Stability implications
This section is used for scenario analysis and educational simulations.
Observer Layer (Triadic)#
Provides time‑anchored interpretation.
- History lens: past vectors, drift sequences, structural eras
- Now lens: current vector, coherence score, basin identity
- Future lens: projected drift, transition signals, resilience indicators
This section helps users understand structural continuity across time.
Dynamic Cards Integration#
The dashboard uses dynamic cards for:
- structural snapshots
- drift events
- transition pathways
- observer lenses
- comparative system views
Each card follows the templates defined in dynamic_artifact_templates.md and dynamic_cards_spec.md.
Data Flow#
Analyzer Output
↓
Coherence Scoring
↓
Drift Detection
↓
Basin Classification
↓
Observer Layer
↓
Dashboard Rendering
The dashboard is a visualization layer, not a computation layer.
Interaction Modes#
Single‑System Mode#
Displays one system’s structural state in depth.
Comparative Mode#
Places two or more systems side‑by‑side using dynamic cards.
Timeline Mode#
Shows drift and coherence events across historical snapshots.
Simulation Mode#
Visualizes stepwise transitions generated by the Transition Simulator.
Dashboard Components#
- Vector panel
- Coherence gauge
- Invariant matrix
- Awareness radar
- Drift compass
- Basin map
- Transition pathway graph
- Observer timeline
- Dynamic card grid
Each component is modular and can be embedded in other tools.
Output Schema#
The dashboard consumes:
- structural_vector
- invariant_report
- physics_forces
- basin_classification
- drift_event
- transition_path
- observer_lens
- coherence_score
All artifacts follow the templates defined in the Analyzer directory.
Purpose for Contributors#
This dashboard:
- ensures consistent visualization
- supports teaching and research
- provides a unified interface for GSM artifacts
- helps validate Analyzer outputs
- enables structural comparison across systems
It is the primary UI for structural governance analysis.