Bibliographic record
Abstract
Aux xvii e et xviii e siècles, les extraits constituent le type d’article privilégié de nombreux périodiques qui, sur le modèle du Journal des savants , rendent compte des livres parus dans les différents domaines des lettres. En étudiant la manière dont les journalistes francophones définissent l’extrait et ses principales fonctions dans l’espace médiatique, nous verrons que ce genre est au centre d’un faisceau de tensions qui mobilisent une éthique de la lecture et une déontologie journalistique en plein développement. On se demande alors notamment si l’extrait doit contenir une critique impartiale, ou s’il peut servir d’instrument de promotion au libraire, voire à l’auteur de l’ouvrage recensé. De telles réflexions situent l’extrait à l’intersection de l’histoire du livre, de la presse, de la lecture et de la critique.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.016 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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 teacher head, 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".