Les applications de rencontres et leurs affordances : comment la violence sexuelle facilitée par la technologie est atténuée et perpétuée chez les hommes ayant des relations sexuelles avec des hommes
Bibliographic record
Abstract
Contexte : Les personnes peuvent subir des violences sexuelles, mais peu d’études ont exploré les expériences des hommes ayant des relations sexuelles avec d’autres hommes (HARSAH). Cette étude porte sur la violence sexuelle parmi les HARSAH qui utilisent les applications de rencontres au Canada. Analyse : Une analyse thématique d’entretiens avec 25 HARSAH a révélé des types communs de violence sexuelle et a mis en lumière la façon dont les HARSAH utilisent les affordances pour gérer ou réduire les incidents de violence sexuelle facilitée par la technologie. Conclusion et implications : Les HARSAH subissent et perpétuent la violence sexuelle en ligne et en personne, et la technologie peut exacerber ou atténuer ce problème.
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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 | 0.006 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 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".