Usage in Meridians
Source path: knowledge-base/knowledge/conventions/narrative/10-usage-in-meridians.md
# Usage in Meridians These definitions are used throughout the platform: 1. **Scene Generation** — Markov chains sample 32-sign pentad sequences to guide all five force targets 2. **Branch Evaluation** — 32 work-form archetypes classify exact formed-force profiles; each exposes its counterform and the Scene Sign at the same pentad coordinate 3. **Analytics** — Density, scale, and position classify domains for comparison 4. **Planning** — Course correction uses force gradients and Pentad-sign trajectories 5. **Visualization** — Sign constellations, transition currents, delivery curves, and force charts map to these concepts 6. **Game Theory** — Per-scene decomposition into games (axis + shape), ELO rankings, and behavioural tags (Decision Matrix / Game Theory Dashboard) An on-demand AI flow reading synthesises the scene-sign chain with the nearer beat-function chain. It compresses the full selected prefix into visits and transitions, keeps the recent beat passage situated in its Scenes, and returns guided observations that focus exact graph nodes. The interpretation may describe currents, returns, thresholds, and divergence, but it must cite the recorded trace, call sparse evidence sparse, and describe tendencies inside this world rather than destiny. **Formulas & Implementation:** See `src/lib/core/forces/domain-utils.ts` for force derivation and detection algorithms, `src/lib/core/forces/force-grading.ts` for the equal-share grade, and `src/lib/core/forces/pentad-archetype.ts` for five-force Domain classification. --- **Version:** Aligned with Meridians domain type refactor (January 2025); reference means + file paths refreshed 2026-06-15. **Calibration Source:** Harry Potter, Tale of Two Cities, 1984, Great Gatsby, Romeo & Juliet, Reverend Insanity, Crime & Punishment, Coiling DragonOpen on GitHub
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