La femme et le type : le stéréotype comme vecteur narratif dans le cinéma des attractions
Bibliographic record
Abstract
Le cinéma des premiers temps avait largement recours aux stéréotypes, comme en témoigne l’abondance, au sein des vues animées, de figures féminines figées et simplistes. Plutôt que de l’appréhender seulement comme reflet d’une subjectivité, ainsi que le propose l’approche féministe traditionnelle, le stéréotype mériterait également d’être abordé en termes d’efficacité, dans la mesure où il permet d’utiliser un savoir commun au service d’une narrativité minimale. Foncièrement monstratifs, les stéréotypes n’en agissent pas moins à la façon de « vecteurs narratifs ». En cela, ils constituent l’une des matières premières du régime des attractions, inscrivant par-là même les vues animées dans la tradition des institutions de divertissement populaire.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".