La construction de la posture aucto-éditoriale dans les mémoires d’éditeurs québécois
Bibliographic record
Abstract
Désir de justification, de légitimation, besoin de laisser une trace, d’affirmer sa position dans le champ éditorial, multiples sont les raisons qui, vers la fin du xx e siècle, poussent plusieurs éditeurs québécois, après de nombreuses années de labeur dans le domaine de la publication de livres, à coucher sur papier leurs expériences, surtout professionnelles. En se mettant ainsi en scène, l’éditeur devient un auteur. Il adopte alors une nouvelle posture, une posture auctoriale, tout en conservant sa posture d’éditeur. De quelle manière se forge cette double posture, unique en son genre? C’est ce qu’examine le présent article.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".