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 |
|---|---|---|---|---|---|
| colony_economic_system_learning | Process | S4 | Colony Economic System Learning is fundamentally an activity of acquiring knowledge and adapting practices over time through trial and error and observation, making it a process rather than a static entity. | This learning process involves scanning the environment, gathering intelligence about effective practices from other colonies, and adapting to local conditions, which are core functions of the intelligence system that enables organizational adaptation. | 2026-02-23T10:53:59.212354 |
Classification: Colony Economic System Learning
Entity Type
Process
VSM System
S4
Type Rationale
Colony Economic System Learning is fundamentally an activity of acquiring knowledge and adapting practices over time through trial and error and observation, making it a process rather than a static entity.
VSM Rationale
This learning process involves scanning the environment, gathering intelligence about effective practices from other colonies, and adapting to local conditions, which are core functions of the intelligence system that enables organizational adaptation.