Bibliographic record
Abstract
L’enjeu des photos aériennes d’Auschwitz ne se situe plus dans un procès contrel’évidence visuellemais dansl’évidence éthiqued’un appel à la responsabilité (la décision de bombarder), d’autant plus lorsqu’elles sont confrontées à la contre-plongée fantasmatique de prisonniers qui misaient sur les bombardements aériens comme seule issue possible à leur situation, au futur antérieur d’une barbarie encore jugulable. C’est l’effet pragmatique (en l’occurrence le non-faire) que ces photos ont déclenché ou les discours qu’elles ont suscités qu’on analyse dans ces pages. Dans les années soixante-dix les historiens Brugioni et Poirer ont ainsi invoqué l’inefficacité de la technique photographique de l’époque pour justifier l’inaction des alliés. Les discours d’escortes actuels sur les sites Internet qui diffusent les photos en question déploient, quant à eux, une rhétorique qui n’est pas moins innocente.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.020 | 0.002 |
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".