corpus: EN collection wave (measure-only, G008)#492
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Wave 2 of the approved corpus-expansion plan. Measure-only: no detector
threshold change, no src/features change.
Manifest artifacts/rebaseline-2025/manifest.en.scored.public.jsonl (330 rows,
hash-only): 200 natural-human controls from HAP-E (browndw/human-ai-parallel-corpus,
MIT; balanced academic-summary/blog) + 120 ai-like positives across 3 model
families (gpt 40 / claude 40 / gemini 40) + 5 lightly-edited-ai + 5
heavily-edited-ai (one light + one heavy per register). Raw text stays in the
gitignored private workspace; only hashes/metadata/scores are committed.
Reports (docs/benchmarks/):
- rebaseline-en-latest.{md,json}: accuracy 85.8%, recall 86.9%, FP 15.0%
(EN detection notably stronger than KO).
- rebaseline-low-fpr-en-latest.{md,json}: B4 TPR@1%/5%FPR for en and
en x register. academic-summary/blog supported (blog TPR 88.5% at 5% FPR);
other registers honestly report no_negatives (HAP-E maps only 2 registers).
Overall TPR at low FPR still collapses to 0% (high-scoring human controls).
- rebaseline-audit-en-latest.md: operator audit; 0 mislabeled, 0 too-easy.
Heavy human edits evade detection in 4/5 registers.
Verify: npm test 766/766; npm run benchmark 100% / ROC-AUC 1.000 / PR-AUC 1.000;
benchmark:report, benchmark:robustness, check:no-private-assets, lint all pass.
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Summary
Wave 2 of the approved corpus-expansion plan. Measure-only: no detector threshold change, no
src/featureschange.Manifest
artifacts/rebaseline-2025/manifest.en.scored.public.jsonl— 330 hash-only rows:ai-likeacross 3 families (gpt 40 / claude 40 / gemini 40)lightly-edited-ai+ 5heavily-edited-ai(light+heavy per register)Raw text stays gitignored; only hashes/metadata/scores committed.
Findings
no_negatives(HAP-E maps only 2 registers). Overall low-FPR TPR still 0% (high-scoring human controls).Verification
npm test766/766npm run benchmark100% / ROC-AUC 1.000 / PR-AUC 1.000benchmark:report,benchmark:robustness,check:no-private-assets,lintall pass