Bibliographic record
Abstract
Les femmes sont nombreuses a frequenter les salles de cinema ou les differentes formations preparant aux metiers du cinema, mais elles sont pourtant encore rares a occuper les postes cles sur les plateaux de tournage. Celine Gobert et Jean-Marie Lanlo ont rencontre quelques praticiennes de notre cinematographie pour comprendre les raisons de cette faible representativite. Leur choix s'est porte sur des realisatrices d'horizons divers telles Chloe Robichaud (Sarah prefere la course), Sophie Deraspe (Le profil Amina), Isabelle Hayeur (La bete de foire), qui est egalement presidente de l'association Realisatrices Equitables, ou Izabel Grondin (La table), qui prepare actuellement son premier long-metrage. Les deux critiques ont egalement convie a la reflexion Segolene Roederer (directrice generale de Quebec Cinema), la directrice photo Jessica Lee Gagne (Boris sans Beatrice) et la productrice Nicole Robert (Quebec-Montreal). Ces differents temoignages leur permettent de dresser un etat des lieux du cinema quebecois au feminin, tout en donnant au lecteur des elements lui permettant de saisir une realite qui depasse le seul milieu du cinema pour toucher notre societe dans son ensemble.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.056 | 0.002 |
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".