Bibliographic record
Abstract
L'adaptation d'un roman pour le cinéma n'est jamais chose facile. Et que dire du roman féministe dont les structures narratives se voient souvent investies d'un message subversif, inscrit à même la narration, ou la non-narration de la protagoniste ? La difficulté provient-elle du médium filmique et de ses limites, ou du discours dominant dont il est entaché et qui a tendance à faire de la femme un objet de la narration au masculin ? Les analyses de Laura Laur de Suzanne Jacob et de son adaptation au cinéma par Brigitte Sauriol, ainsi que celles du roman The Handmaid's Tale de Margaret Atwood et du film de Volker Schlôndorff devraient nous permettre de vérifier l'hypothèse voulant que Laura Laur et Offred, femmes exceptionnelles de ces romans, aient été diminuées lors de leur passage du côté du grand écran.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".