Améliorer les services d’évaluation psychosociale offerts aux personnes réfugiées à leur arrivée au Québec
Bibliographic record
Abstract
Cet article porte sur la pertinence des services d’évaluation psychosociale offerts dans le cadre du programme Passerelle aux personnes réfugiées, dès leur arrivée au Québec. Selon un devis de recherche qualitatif, 28 participants originaires d’Afghanistan et d’Afrique subsaharienne, et deux travailleuses sociales, ont été rencontrés lors d’entretiens en groupe ou en individuel. Des recommandations proposées par les participants pour améliorer l’évaluation psychosociale sont présentées et discutées à la lumière de celles faites par des chercheurs. L’exhaustivité de l’évaluation et les courts délais de temps prévus pour l’effectuer sont notamment questionnés, ainsi que l’efficacité de cette mesure pour pallier les iniquités d’accès aux services de santé et psychosociaux.
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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 | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".