Internet et santé des minorités sexuelles au Canada : une étude exploratoire
Bibliographic record
Abstract
Résumé Les organismes œuvrant auprès des minorités LGBT (personnes se définissant comme lesbiennes, gaies, bisexuelles, bispirituelles ou transgenres) sont de plus en plus nombreux à développer des sites internet et à recourir aux stratégies d’intervention en ligne visant l’information, la prévention et l’amélioration de la santé et de la qualité de vie de ces populations. Afin de dégager un portrait canadien dans ce domaine, une étude a été menée auprès d’organismes qui ont répondu à un questionnaire portant sur leurs pratiques associées à l’internet. Les résultats mettent en évidence les multiples avantages que les organismes communautaires associent à ce mode d’intervention mais soulignent aussi les contraintes auxquelles ils font face et les difficultés que peut poser la mise en place d’intervention en ligne.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".