TriadicFrameworks
Overview

Contributing to the Governance Alignment Analyzer

A guide for contributors working within the Governance Substrate Model (GSM)

The Governance Alignment Analyzer is the interpretive engine of the Governance Substrate Model. Contributions to this module should strengthen its structural clarity, maintain alignment with GSM invariants, and preserve the integrity of the manifold, physics rules, and basin logic.

This guide explains how to contribute responsibly and coherently.

Scope of this directory#

This directory contains the Analyzer layer of the GSM. It includes:

  • structural vectorization rules
  • invariant evaluation logic
  • cross‑axis physics rules
  • basin classification logic
  • drift detection
  • transition pathway logic
  • analyzer pipeline definitions
  • UI/UX specifications for analyzer outputs

Contributions here affect how the GSM interprets governance systems, so precision and structural coherence are essential.

Principles for contributors#

Structural clarity#

All contributions must reinforce the Analyzer’s role as a structure‑first, non‑ideological reasoning engine. Avoid political framing, normative language, or outcome‑based judgments.

Substrate alignment#

Changes must remain consistent with:

  • the five‑axis structural vector
  • GSM invariants
  • cross‑axis physics
  • equilibrium basins
  • transition graph
  • manifold boundaries

If a contribution modifies one of these, it must update all dependent components.

Modularity#

Each file should represent a single conceptual unit. Avoid mixing logic across layers (e.g., physics rules should not appear in vectorization rules).

Extensibility#

Design contributions so future developers and students can extend them without breaking existing logic.

What you can contribute#

1. Structural rules#

You may propose refinements to:

  • invariant definitions
  • cross‑axis physics
  • basin stability conditions
  • transition pathways
  • coherence scoring rules

These must be justified with structural reasoning, not political or historical argument.

2. Vectorization improvements#

You may add or refine natural‑language mapping rules that convert descriptions into structural vectors.

3. Analyzer pipeline enhancements#

You may improve the flow of:

  • vectorization
  • invariant checking
  • physics application
  • basin classification
  • drift detection

4. Documentation#

You may add examples, diagrams, or explanations that help students and developers understand the Analyzer.

5. Teaching materials#

You may contribute worksheets, exercises, or historical profiles that demonstrate how the Analyzer works.

Contribution workflow#

Step 1 — Open an issue#

Describe:

  • what you want to change
  • why it matters
  • which structural components it affects

Step 2 — Discuss with maintainers#

We evaluate contributions based on:

  • structural coherence
  • GSM alignment
  • clarity
  • extensibility

Step 3 — Submit a pull request#

Include:

  • a clear description of the change
  • updated documentation
  • updated tests or examples if applicable

Step 4 — Structural review#

Maintainers check:

  • invariant consistency
  • physics compatibility
  • basin stability
  • transition graph coherence
  • manifold boundaries

Step 5 — Merge#

Once approved, your contribution becomes part of the Analyzer.

Directory expectations#

Analyzer/
│
├── README.md
├── ARCHITECTURE_OVERVIEW.md
├── alignment_analyzer.md
├── statement_mapping_rules.yaml
├── invariant_check_rules.yaml
├── coherence_scoring.yaml
├── drift_detection.yaml
├── regime_shift_detection.yaml
├── analyzer_pipeline.yaml
└── dynamic_cards_spec.md

Each file has a specific purpose. Contributions should respect these boundaries.

Coding and documentation standards#

  • Use clear, descriptive naming.
  • Keep YAML schemas consistent across modules.
  • Document every new rule or structural dependency.
  • Avoid embedding political content or normative judgments.
  • Ensure examples are structural, not ideological.
  • Maintain compatibility with the transition simulator and observer layers.

Who this guide is for#

  • developers extending the Analyzer
  • students contributing historical profiles or examples
  • educators adding teaching materials
  • researchers refining structural rules
  • maintainers reviewing contributions

Final note#

This project is part of a broader effort to build a substrate science canon—a unified, structural way to understand governance, history, and systems. Contributions here help shape a toolset that future students, developers, and researchers can rely on for clarity, coherence, and structural literacy.

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