Bibliographic record
Abstract
山上祭二日目。秘密のオークション会場では、女子の写真の競りが白熱していた。特設リングでは伝説のマスクマン、スペル・ソラールが華麗な技を繰り出していた。そして、体育館の舞台では、演劇部長に急遽スカウトされた里香が、ヒロインとして舞台に立とうとしていた。夏目、亜希子も駆けつけて、いよいよ緞帳が上がろうとしたとき、謎の乱入者が現れ—！？書き下ろし番外編『雨 ｆａｎｄａｎｇｏ』の後編に、『ｄｒａｇｏｎｆｌｙ』『市立若葉病院猥画騒動顛末記』『ａｓ ｔｈｅ ｓｕｍｍｅｒ ｇｏｅｓ ｂｙ』の番外編三篇を加えた『半月』短編集第２弾。大人気シリーズ、最終巻。
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.008 |
| Scholarly communication | 0.010 | 0.012 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.046 | 0.009 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".