JesseMarkowitzandClaude Opus 5
fa3769d0fe
Research toward building a content pack from a story corpus, kept on its own branch and independent of the game. Records the selection experiments against blind labels, and settles selection as gate G2 followed by a human review: review.py writes REVIEW.md and a review.json form, apply_review.py checks the filled form and writes situations.json for the next stage. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01C6UDQ9o6L6Ey173U7XVou6
12 lines
660 B
Plaintext
12 lines
660 B
Plaintext
summary_embeddings.json: 838 chunks from 94 stories, seeds (11, 12, 13)
|
|
|
|
k sized>=5 median dom recurring coverage tight rec tight cov
|
|
----------------------------------------------------------------------
|
|
25 25 0.14 23 97% 11 40%
|
|
40 36 0.17 32 95% 14 36%
|
|
60 51 0.22 41 87% 18 26%
|
|
100 70 0.28 50 73% 20 19%
|
|
|
|
recurring = size>=5, stories>=4, dominant share<=40%; tight = coherence at or above this file's median cluster. Judge at k>=60. Wrote summary_embeddings.measure.json
|
|
exit 0
|