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>
30 lines
926 B
Markdown
30 lines
926 B
Markdown
---
|
|
entity_slug: forestalling
|
|
entity_type: Process
|
|
vsm_system: S2
|
|
type_rationale: Forestalling is an activity with duration involving the buying and
|
|
reselling of goods over time, making it a process rather than a static entity.
|
|
vsm_rationale: Forestalling operates as a coordination mechanism that affects price
|
|
signals and market timing, helping to smooth oscillations between supply and demand
|
|
across different time periods.
|
|
classified_at: '2026-02-23T11:07:21.322581'
|
|
---
|
|
|
|
# Classification: Forestalling
|
|
|
|
## Entity Type
|
|
|
|
Process
|
|
|
|
## VSM System
|
|
|
|
S2
|
|
|
|
## Type Rationale
|
|
|
|
Forestalling is an activity with duration involving the buying and reselling of goods over time, making it a process rather than a static entity.
|
|
|
|
## VSM Rationale
|
|
|
|
Forestalling operates as a coordination mechanism that affects price signals and market timing, helping to smooth oscillations between supply and demand across different time periods.
|