markitect-main/examples/infospace-with-history/infospace.yaml

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# Infospace: The Wealth of Nations through the Viable System Model
#
# This configuration declares the infospace built by processing
# Adam Smith's "The Wealth of Nations" (1776) through the lens of
# Stafford Beer's Viable System Model (VSM).
topic:
name: "The Wealth of Nations"
domain: "Classical Economics"
sources: artifacts/sources/
disciplines:
- name: "Viable System Model"
path: artifacts/vsm-reference/
schemas:
entity: schemas/economic-entity-schema-v1.0.md
mapping: schemas/vsm-mapping-schema-v1.0.md
analysis: schemas/chapter-analysis-schema-v1.0.md
feat(infospace): add L3 relation graph with VSM-aware triplets (S2.8) Implements the L3 relation graph layer — a directed graph of (Subject, Predicate, Object) triplets annotated with VSM channel codes and feedback roles. Triplets are authored as markdown files under output/relations/, parsed into RelationMeta dataclasses, and analysed with networkx. New modules: - markitect/infospace/relation_models.py — RelationMeta dataclass + RELATION_TYPES controlled vocabulary (15 relation classes → VSM codes) - markitect/infospace/relation_parser.py — parse_relation_file() and parse_relations_directory() New schema: examples/infospace-with-history/schemas/relation-schema-v1.0.md — file naming convention, required sections, controlled vocabulary table 15 seed relation files covering the three core WoN feedback loops: - Capital Accumulation loop (positive reinforcement, S1/S3) - Market Price Balancing loop (negative feedback, S2/S3) - Market Extent mutual dependency (S1/S2) Plus structural relations: wages regulation, rent residual, price decomposition, invisible hand coordination CLI: markitect infospace relations [--entity SLUG] [--vsm FILTER] [--loops] [--stats] - Builds directed graph from parsed files - Detects feedback loops via nx.simple_cycles() - 6 loops found from 15 seed relations (3 intended + 3 emergent) - --stats aggregates by VSM system code (strips parentheticals) Config: InfospaceConfig gains relations_dir (default output/relations) infospace.yaml: schemas.relation references relation-schema-v1.0.md Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-02-23 06:04:28 +01:00
relation: schemas/relation-schema-v1.0.md
feat(infospace): add L2 entity classification with type × VSM matrix (S2.9) Implements the L2 typed-entities layer — each entity is assigned an Entity Type (Element, Process, Relation, Principle, Institution) and a VSM System (S1–S5) by an LLM, with one-sentence rationales for each. New modules: - markitect/infospace/classification.py — EntityClassification dataclass + ENTITY_TYPES / VSM_SYSTEMS controlled vocabularies - markitect/infospace/classification_io.py — write/read classification files (YAML frontmatter + markdown body, mirrors evaluation_io) - markitect/infospace/classifier.py — build_classification_prompt(), parse_classification_response(), run_entity_classification(); batch runner writes files incrementally (same resumable pattern as evaluate) CLI: markitect infospace classify [--entity SLUG] [--provider P] [--model M] - Incremental skip: checks output/classifications/ for existing files - Defaults to openrouter provider; 2000 max_tokens (Gemini 2.5 Flash uses ~787 thinking tokens, so 800 was too low) CLI: markitect infospace classify-summary [--update-metrics] - Entity type counts + VSM system counts with percentages - 5 × 6 type × VSM matrix (spots structural blind spots at a glance) - --update-metrics writes type_distribution, type_entropy, vsm_type_matrix_cells to metrics.yaml Config: InfospaceConfig gains classifications_dir (default output/classifications) Schema: schemas/typed-entity-schema-v1.0.md — type/VSM vocabulary tables, rationale format rules, validation rules, metrics enabled at L2 infospace.yaml: schemas.typed_entity references typed-entity-schema-v1.0.md Seed classifications (3): division_of_labour (Process/S1), natural_price_as_central_price (Principle/S2), invisible_hand_mechanism (Principle/S4) Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-02-23 09:35:58 +01:00
typed_entity: schemas/typed-entity-schema-v1.0.md
competency_questions: |
1. How does Smith's division of labour map to VSM System 1 operations?
2. What mechanisms in WoN correspond to VSM coordination (System 2)?
3. Where does Smith describe self-organising regulation (System 3)?
4. What role does the "invisible hand" play as a System 4 mechanism?
5. How do Smith's views on government map to System 5 policy?
6. Is the WoN entity set viable as an explanatory framework?
viability:
redundancy_ratio:
max: 0.10
coverage_ratio:
min: 0.40 # multi-book corpus: domain sparsity is expected
coherence_components:
max: 3
consistency_cycles:
max: 0
granularity_entropy:
min: 1.0
per_entity_mean:
min: 3.5 # LLM quality score across 5 dimensions (1-5 scale)
pipeline:
stages:
- name: extract-entities
template: templates/extract-entities.md
output_dir: output/entities
output_macro: entities
split_entities: true
max_tokens: 8000
macros:
extraction_rules: artifacts/guidelines/extraction-rules.md
vsm_framework: artifacts/vsm-reference/vsm-framework.md
- name: map-to-vsm
template: templates/map-to-vsm.md
output_dir: output/mappings
output_macro: mappings
max_tokens: 10000
macros:
mapping_rules: artifacts/guidelines/mapping-rules.md
vsm_framework: artifacts/vsm-reference/vsm-framework.md
- name: synthesize-analysis
template: templates/synthesize-analysis.md
output_dir: output/analyses
output_macro: analysis
max_tokens: 4000
macros:
vsm_framework: artifacts/vsm-reference/vsm-framework.md
post_batch:
- name: assess-metrics
template: templates/assess-metrics.md