Bibliographic record
Abstract
The charms of Montreal / Etienne Marceau 嘉義「台湾」 / 劉綺紋 古き良きアメリカが楽しめる「リンカーン」 / 水谷忠資 Minneapolis / Eric Gondree Behind the clouds of McLeod Gang (India) / Mathew White St. Petersburg, Russia / Roman Iwaskow 学生のPRで変わる町 菰野町 / 横山陽二 モンゴルのゲルで迎えたお正月 / 宇治谷映子 Mackinaw City, Michigan, USA / Paul A. Crane This suburb, Flemingsberg, that city, Stockholm / Kevin Ottoson お祭りの街 エジンバラ / 甲斐清高 The town of Raymond: cultural, economic, and environmental influences / Duane Kindt ザ・ファーム・アット・サンベニート（フィリピン・バタンガス州） / ヴァミューレン服部美香 多文化のモザイク トロント / 岡田泰弘 バーミンガム？いや、やはりエジンバラ / 加藤滋伸 アイオワシティのくつろぎの空間、ペッドモール / 小林純子 城壁都市チェスター（The city of Chester, England） / 高橋直子 Alice's day 英オックスフォード / 後藤希望 Grenoble, capitale des 「白い恋人たち」 / Jérôme Paccoud
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.015 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.279 | 0.090 |
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".