Expérience des réfugiés, demandeurs d’asile et migrants sans statut et offre de services de santé et sociaux pendant la pandémie au Québec
Bibliographic record
Abstract
À l’échelle mondiale, la pandémie de la COVID-19 a affecté de manière disproportionnée les migrants en termes de risque d’infection, de santé mentale, de processus d’immigration et d’accès aux services de santé et sociaux et aux ressources de soutien. Face à la COVID-19, les organismes communautaires et les établissements du réseau public de services de santé et services sociaux du Québec ont réagi en adaptant leurs pratiques et en offrant davantage de services à distance. Ils ont joué un rôle central dans la prévention et le traitement des infections à la COVID-19 et ils ont oeuvré en matière de protection sociale. Ce numéro thématique offre une réflexion approfondie des chercheurs de l’Institut universitaire SHERPA de Montréal sur les expériences des migrants pendant la pandémie de COVID-19 au Québec et sur la valorisation d’innovations dans les services communautaires et institutionnels mises en oeuvre.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".