Les plateformes télévisuelles québécoises et leurs animatrices : quand la post-télévision et le postféminisme convergent
Bibliographic record
Abstract
Dans une perspective critique au croisement de la communication, desCultural Studieset des études télévisuelles féministes, les auteures mettent en lumière la manière dont les configurations du média télévisuel à l’ère numérique contribuent à reconfigurer la figure de l’animatrice et à (re)produire le genre. Les animatrices vedettes de la télévision proposent des visions intéressantes du pouvoir au féminin et, par là même, promeuvent certaines visions spécifiques des identités et des rapports sociaux de genre. À partir d’une analyse d’émissions originales non fictionnelles de la plateforme Véro.tv, les auteures proposent une réflexion sur la présence et l’action des femmes dans les cultures médiatiques au Québec, en montrant comment les stratégies promotionnelles et représentationnelles associées à ces nouveaux contenus produits pour le Web contribuent à la médiation d’une rhétorique postféministe.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.013 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 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".