Accès aux soins des personnes trans migrantes : l’apport des services de soutien intégrés transaffirmatifs et intersectionnels
Bibliographic record
Abstract
L’accès aux services de soutien (soins de santé et des services sociaux) pour les personnes LGBTQI+ migrantes et racisées est souvent entravé par des barrières liées à leur statut migratoire, à leur identité ethnoraciale, à leur orientation sexuelle et/ou à leur identité de genre. Les personnes trans migrantes rencontrent des défis et des discriminations spécifiques qui complexifient davantage leur accès aux soins. La Clinique Mauve, lancée au Québec en réponse à cette problématique exacerbée par la COVID-19, offre des services médicaux, psychosociaux et un programme de pair navigation. Son approche interdisciplinaire, qui favorise la collaboration entre chercheur·es, professionnel·les de la santé et des services sociaux et acteur.trices communautaires, a été essentielle à son succès. Cet article se focalise sur les réalités et perceptions des usager·es trans migrant·es par rapport aux impacts directs et indirects de la COVID-19, aux barrières d’accès aux soins et aux services déployés par la Clinique Mauve en ce qui concerne le soutien psychosocial et médical d’affirmation de genre.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".