Refugees’ Perceived Mental Health Post-Migration to Canada: Afghans, Colombians and the Karen (Burmese)
Bibliographic record
Abstract
This study seeks to understand the factors that influence the perceived mental health of Afghan, Colombian and Karen (Burmese) refugees post-migration to Canada. It also examines what the differences and commonalities are among and between these groups with regards to the factors that influence their perceived mental health. Moreover, it explores whether these groups perceived that, as a result of their exposure to pre-migration trauma that they are at a high risk for developing mental health problems when they experience post-migration stressors. This study found that contextual factors, discrimination, and lack of resources and support affect refugee groups’ perceived mental health post-migration to Canada. Another finding was that only the Karen (Burmese) participants (some) reported that, a result of their exposure to pre-migration trauma that post-migration stressors affect them greatly. The information found in this study could potentially be used to inform policies and programs that protect refugee health.
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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 | 0.000 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".