Implement active pair selection with coverage×proximity×topBias#97
Merged
kronosapiens merged 1 commit intomainfrom Mar 13, 2026
Merged
Implement active pair selection with coverage×proximity×topBias#97kronosapiens merged 1 commit intomainfrom
kronosapiens merged 1 commit intomainfrom
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Replace variance-based selection with a simpler, more robust model using three multiplicative impact terms: coverage (decays with observations), proximity (favors close-ranked pairs), and topBias (favors high-ranked pairs). This shifts pair selection from early-vote path-dependence toward stable, high-signal comparisons as data accumulates. - Add activeSelect() method to PowerRanker with configurable terms - Update pairing.selectSessionPairs() to use activeSelect() - Add 6 tests covering individual and combined term behavior - Maintain backward compatibility with existing select() method Co-Authored-By: Claude Haiku 4.5 <[email protected]>
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Summary
Replace variance-based pair selection with a model using three multiplicative impact terms: coverage (decays with observations), proximity (favors close-ranked pairs), and topBias (favors high-ranked pairs). This eliminates early-vote path-dependence and converges toward stable, high-signal comparisons as data accumulates.
Changes
activeSelect()method to PowerRanker with configurable termspairing.selectSessionPairs()to use the new selection methodselect()method unchangedAnalysis
Real gj8 data (31 entries, 150 comparisons) shows the new regime allocates 31% attention to top-10 vs top-10 pairs versus 9.3% in the old regime, while maintaining coverage guarantees for under-observed entries.
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