arborist/bench/results/relevance-aboutness-candidatebench-round2.json
russell@unturf.com da5af2dfaa
#000052 §3.2.1 round-2: extend size spectrum to 7 models (30MB-560MB, ~20×) — real model science from a wider sweep
7 models on the 4090 against the 26-pair candidate-bench:

  bge-reranker-large    560MB  +6.285  ← new primary (most cushion)
  ms-marco-electra-base 110MB  +5.349  (cost alternate — 5× smaller, 87% the margin)
  MiniLM-L-4-v2          50MB  +3.187
  bge-reranker-base     280MB  +3.076
  MiniLM-L-6-v2          80MB  +3.053  (was primary before §3.2.1)
  MiniLM-L-12-v2        130MB  +2.663  (deeper ≠ better — same pattern as §7 #24)
  MiniLM-L-2-v2          30MB  -1.970  ← capacity floor (NOT separable, 10/12 catch)

Findings:
- Biggest is best WITHIN a family (bge-large > bge-base, 2× size → 2× margin).
- Across families: electra-base (110MB) beats bge-base (280MB) — 60%
  smaller, 75% more margin. Architecture/training corpus > parameter count.
- Depth non-monotonic within MS-MARCO MiniLM: L-4 > L-6 > L-12.
- Capacity floor between L-2 (30MB, fails) and L-4 (50MB, separates).
- 6 of 7 clean-separate the candidate-bench. The 'reranker catches
  Zionist-style mis-cites' claim is a property of competent rerankers
  as a class — once above the floor.

Manifest primary moves to bge-reranker-large for cushion. demote_below_score
STAYS null — clean candidate-bench doesn't predict real-pipeline behavior
(§7 #18→#27 = 6 verdict flips). Expect a walk-back at §3.2.2 step 2.
2026-05-13 10:05:56 -04:00

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