tegwick
d1f57272a4
Batch classification via OpenRouter (claude-sonnet-4). 165 entities
remain unclassified due to credit exhaustion; incremental skip means
a follow-up run will complete them automatically.
Type × VSM matrix (823 entities):
S1 S2 S3 S3* S4 S5
Element 86 75 58 21 43 32 (315 total, 38%)
Process 39 42 37 17 67 24 (226 total, 28%)
Institution 4 12 30 24 . 52 (122 total, 15%)
Principle 3 7 15 2 43 32 (102 total, 12%)
Relation 2 14 5 5 22 10 (58 total, 7%)
Matrix fill: 29/30 cells (Institution/S4 empty — expected)
Metrics updated: type_entropy=2.0936, vsm_type_matrix_cells=29
Also:
- BatchEvaluator gains delay_seconds param for rate-limited providers
- classify CLI gains --rpm option (--rpm 10 for Gemini free tier)
- history.write_metrics_file now handles non-float metric values
(type_distribution is a dict, was crashing round())
- run_entity_classification forwards delay_seconds to BatchEvaluator
- classify-links and graph commands added by user (entities --by-type,
graph --format mermaid/dot, classify-links for Relation enrichment)
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
1.2 KiB
1.2 KiB
entity_slug, entity_type, vsm_system, type_rationale, vsm_rationale, classified_at
| entity_slug | entity_type | vsm_system | type_rationale | vsm_rationale | classified_at |
|---|---|---|---|---|---|
| double_coincidence_of_wants | Principle | S2 | The double coincidence of wants is an abstract theoretical constraint that universally governs barter systems across all contexts, representing a fundamental law about exchange mechanics rather than a specific entity or process. | This principle directly explains why coordination mechanisms like money emerge to solve the matching problem in exchange systems, making it fundamentally about coordination and the signals needed to facilitate trade. | 2026-02-23T10:58:34.020552 |
Classification: Double Coincidence Of Wants
Entity Type
Principle
VSM System
S2
Type Rationale
The double coincidence of wants is an abstract theoretical constraint that universally governs barter systems across all contexts, representing a fundamental law about exchange mechanics rather than a specific entity or process.
VSM Rationale
This principle directly explains why coordination mechanisms like money emerge to solve the matching problem in exchange systems, making it fundamentally about coordination and the signals needed to facilitate trade.