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>
1.3 KiB
1.3 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 |
|---|---|---|---|---|---|
| economic_development_spatial_patterns | Principle | S4 | Economic Development Spatial Patterns represents an abstract law about how economic activities predictably arrange themselves geographically based on underlying factors like market access and transportation costs, making it a theoretical claim that holds across different contexts. | This principle operates as intelligence gathering about how economic systems adapt to their geographical environment, scanning and analyzing spatial relationships to understand patterns of development and specialization. | 2026-02-23T10:59:35.724170 |
Classification: Economic Development Spatial Patterns
Entity Type
Principle
VSM System
S4
Type Rationale
Economic Development Spatial Patterns represents an abstract law about how economic activities predictably arrange themselves geographically based on underlying factors like market access and transportation costs, making it a theoretical claim that holds across different contexts.
VSM Rationale
This principle operates as intelligence gathering about how economic systems adapt to their geographical environment, scanning and analyzing spatial relationships to understand patterns of development and specialization.