Entretien avec Huguette Dagenais, première directrice de la revue Recherches féministes
Bibliographic record
Abstract
Cofondatrice et première directrice de la revue (printemps 1988 – automne 1997), Huguette Dagenais répond aux questions de Marie-José des Rivières et Simona Mancini sur la petite histoire des débuts de la revue, les appuis recherchés et obtenus, le travail scientifique d’équipe et la magie de la collaboration interdisciplinaire féministe. On mentionne, dans cet entretien, des sujets cruciaux tels que la langue, le choix des thèmes, les approches et méthodes, certaines controverses, l’importance de la recherche empirique et, enfin, plusieurs bons coups des dix premières années (l’humour, la beauté des pages de couverture, la dimension internationale). L’entretien se termine par l’énoncé de certains défis actuels et futurs, notamment la question de la mise en ligne de la revue.
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 | 0.015 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.006 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| 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".