Soins et services de santé mentale à l’intention des lesbiennes, des gais, des bisexuels, des transgenres et des queers
Bibliographic record
Abstract
L’Association des psychiatres du Canada participe resolument a la lutte contre la stigmatisation et la discrimination, ferme dans sa volonte de tout mettre en œuvre pour defendre cette cause, quoiqu’elle s’attarde principalement aux personnes aux prises avec une maladie mentale. Neanmoins, elle est consciente de l’ampleur de la stigmatisation et de la discrimination pour des motifs de sexe, de race, d’orientation sexuelle ou de religion qui ont cours dans la societe1. Malheureusement, la psychiatrie est connue en retrospective pour avoir assimile l’homosexualite, la bisexualite, la transidentite et le genre queer aux maladies mentales et, ce faisant, elle a contribue a son corps defendant au phenomene de la stigmatisation et de la discrimination a l’egard des personnes se disant lesbiennes, gais, bisexuelles, transgenres, transsexuelles ou queers (LGBTQ); non seulement la stigmatisation et la discrimination ont des effets deleteres sur leur sante mentale, mais elles entravent egalement leur acces aux soins de sante mentale appropries. Le present enonce de principes entend souligner la necessite pour la profession de bien comprendre la situation et les besoins des personnes LGBTQ sur le plan de la sante mentale.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.059 | 0.006 |
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".