Romans francophones et représentations du féminin : autour de Va savoir de Réjean Ducharme, Agave de Hawa Djabali et La femme qui attendait d'Andreï Makine
Bibliographic record
Abstract
La representation feminine a connu a travers les temps et les litteratures de nombreux rebondissements. Les litteratures francophones ont egalement rencontre ce bouleversement romanesque du statut de l'heroine, notamment dans la periode contemporaine. Partant d'un presuppose narratologique, notre analyse cerne de prime abord la place reelle de la femme au sein des romans francophones, quebecois, algerien et russe. Notre etude se focalise sur la remise en question de l'heroine par rapport aux personnages traditionnels, ainsi que son immersion dans l'ere du soupcon. Etant absente et desagregee dans le foyer incertain des myriades d'impressions, l'heroine francophone se trouve flanquee dans le neant. Ayant perdu son statut de personnage, elle demeure l'objet de l'histoire racontee, et assujettie au reste des personnages, qui la faconnent a leur maniere. L'heroine francophone devient en consequence l'ombre d'elle-meme.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.013 | 0.012 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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 source (direct Gemma or distilled Codex), 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".