Bibliographic record
Abstract
Ce numéro fait état de recherches récentes touchant des femmes de la francophonie. Les articles portent sur les femmes francophones vivant en milieu minoritaire au Canada (Linda Cardinal ; Monica Heller et Laurette Lévy), la double discrimination liée au sexe et à la langue (Maurice Saint-Germain et Marc Lavoie), les créations cinématographiques de femmes francophones (Christiane Lahaie) ainsi que sur les rapports des femmes à la langue française aux Antilles françaises (Ellen M. Schnepel). Une note de recherche porte sur le questionnement de la démocratie par un collectif féministe camerounais (Marie-Louise Eteki-Otabela). Quant au dossier, il est consacré au débat qui entoure la féminisation de la langue française et à diverses façons de manifester la présence des femmes dans cette langue au Québec, en France et en Suisse romande.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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".