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the-mindscape-of-bro-tsong/selector/README.md

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Selector

This folder contains rule-based selector configuration and examples.

The v0.2 selector should not call an LLM.

It should use simple matching rules:

  • Trigger keywords
  • Input types
  • Negative triggers
  • Pipeline position
  • Selection priority
  • Negative trigger first
  • No-call threshold
  • QPI-before-IA gate
  • QPI positive-signal gate
  • Direct-execution no-call signals
  • Calibration smoke checks

Current files:

  • selector_rules.json
  • selector_examples.json
  • selector_calibration_inputs.json
  • qpi_case_digests.json

The selector does not call an LLM.

The executable demo is scripts/run_selector_demo.py.

Selector regression is scripts/run_selector_regression.py.

Selector calibration smoke check is scripts/run_selector_calibration_smoke.py.

qpi_case_digests.json stores owner-reviewed QPI case digests that can feed selector calibration or later regression selection. It is not a model status upgrade and should not include unreviewed draft cases.

Digest field notes:

  • misclassification_risk is the canonical digest field matching QPI's structured output contract.
  • qpi_complexity_pattern records judgment complexity: not_mixed, intra_frame_mixed, or inter_viewpoint_divergence.
  • qpi_complexity_pattern=intra_frame_mixed does not imply classification=mixed; classification is the final routing class, while qpi_complexity_pattern records the structure of the judgment.
  • Multi-perspective / inter-viewpoint cases require classification_by_viewpoint or viewpoint_summary.