<i>College Boy</i> (2013) de Xavier Dolan: pérenniser “le backward feeling”
Bibliographic record
Abstract
En 2013, Xavier Dolan, cinéaste, acteur et metteur en scène québécois prolifique, réalise le vidéoclip College Boy, chanson du groupe de musique français Indochine qui s’articule autour d’un jeune garçon queer qui est victime d’homophobie dans un internat. Cet article propose une analyse de ce vidéoclip en se focalisant sur la mise en scène de la violence et des affects négatifs. Nous étudions d’abord le débat provoqué par la diffusion et la censure du clip en France. Ensuite, à partir de la théorie du “backward feeling” développée par Heather Love dans Feeling Backward: Loss and the Politics of Queer History (2007), nous analysons la manière dont la représentation de la violence dans l’œuvre de Dolan remet en question l’ordre hétéronormatif. Nous défendons la thèse qu’en s’attaquant de front aux institutions qui sont les véritables agents de la violence homophobe, College Boy contribue à la conservation archivistique de l’expérience queer et crée ainsi une possibilité d’émancipation face à l’hétéronormativité.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.020 | 0.009 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.011 | 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 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".