Bibliographic record
Abstract
Entre 1950 et 1970, les lancements de livres sont fréquents aux Éditions Fides. À chaque événement, le père Paul-Aimé Martin, fondateur de la maison, ne manque pas de prendre la parole. Éditeur aguerri, grand érudit et fin publiciste, le père Martin manifeste une énonciation éditoriale particulière à travers ses allocutions de lancement. Censé s’effacer devant l’auteur, de quoi parle exactement l’éditeur à ce moment où il chante les louanges de telle nouveauté? Cet article vise à jeter les prémisses d’une réflexion sur un type particulier de « discours » d’éditeur, soit l’allocution prononcée lors de lancements. Au-delà d’une certaine part de flagornerie consubstantielle à ce type d’énoncé, comment l’éditeur parvient-il à mettre en valeur son propre catalogue? Il s’agit d’observer quelles stratégies discursives déploie l’éditeur dans ce type d’énoncé, et quels rapports de force le sous-tendent.
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 | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".