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@medicine-wheel/relational-index

v0.4.1

Published

Four-source epistemic dimensional indexing for the Medicine Wheel Developer Suite — Land, Dream, Code, Vision traversal with cross-dimensional mapping and spiral depth metrics

Readme

@medicine-wheel/relational-index

Four-source epistemic dimensional indexing for the Medicine Wheel Developer Suite.

Wilson's epistemology recognises multiple sources of knowing — Land, Dream, Code, and Vision each teach differently. This package enables querying, traversal, and cross-dimensional mapping across those epistemic sources.

Installation

npm install @medicine-wheel/relational-index

Quick Start

import {
  createIndex,
  addEntry,
  queryBySource,
  dimensionBalance,
  measureSpiralDepth,
  indexHealth,
} from '@medicine-wheel/relational-index';

// Create an empty index
const index = createIndex();

// Add entries from different epistemic sources
const withLand = addEntry(index, {
  unitId: 'territory-walk-01',
  source: 'land',
  direction: 'east',
  epistemicWeight: 0.8,
  circleDepth: 1,
  accountableTo: ['community-elders'],
  tags: ['territory', 'morning'],
  timestamp: new Date().toISOString(),
});

// Query by source
const landEntries = queryBySource(withLand, 'land');

// Check dimensional balance
const balance = dimensionBalance(withLand);

// Measure spiral depth
const depth = measureSpiralDepth(withLand);

// Get overall health
const health = indexHealth(withLand);

Modules

| Module | Purpose | |--------|---------| | index-manager | Create, add, remove, rebuild index | | query | Query by source, direction, weight, depth, cross-dimensional | | dimensions | Land, Dream, Code, Vision views and balance | | cross-dimensional | Convergences, tensions, coverage gaps | | spiral-depth | Deepening detection, stagnation alerts | | metrics | Index health, balance scores, recommendations |

Wilson Alignment

This package implements the epistemic sophistication Wilson's framework demands:

  • Land: Embodied, place-based knowledge — walking the territory
  • Dream: Intuitive, liminal knowledge — vision and dreaming
  • Code: Implementation knowledge — algorithms and structure
  • Vision: Aspirational knowledge — intention and future

License

MIT