Entre libération et représentation réductrice : La pornographie gaie masculine comme véhicule de stéréotypes
Bibliographic record
Abstract
Inspirée d’un cadre poststructuraliste, cette étude qualitative de « réception d’un médium » nous a permis de mettre en lumière les « lectures » que font une vingtaine de consommateurs de pornographie des notions de masculinité, de race et ethnicité, du milieu gai et du genre en lien avec la pornographie qu’ils consomment. Les résultats qui émergent de notre analyse critique de discours sont à l’effet que les lectures des consommateurs sont majoritairement dominantes, reproduisant ainsi les stéréotypes présents en société et qui sont re/produits et véhiculés dans la pornographie qu’ils consomment. Les récits des participants attestent du fait que ces derniers remettent peu en question ce qu’ils voient dans le matériel pornographique ; matériel pouvant avoir certaines répercussions sur des indicateurs de santé mentale en accentuant et perpétuant certaines formes de stigmatisation chez certains groupes sociaux. Inspired by a poststructuralist perspective, our qualitative exploratory media reception study offers a critical discourse analysis of 20 male pornography consumers, focusing on their readings of masculinity, race/ethnicity, the gay world, and gender in relation to the pornography they consume. For the most part, results show dominant readings of these categories, which suggests that social stereotypes are produced, reproduced, and transmitted through the medium of pornography. Participant narratives reveal individuals who rarely question what is shown in pornographic material; the latter having potential implications for certain mental health indicators, as well as perpetuating and accentuating forms of stigmatization among specific social groups.
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.048 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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".