Immigration, settlement process and mental health challenges of immigrants/ refugees: Alternative care thinking
Bibliographic record
Abstract
This paper discusses progressive thinking and clinical views on improving mental health practice for immigrants and refugees. It addresses policy, care delivery, professionals’ attitudes, and immigrants’ access to mental health care — all factors especially pertinent for practice in major immigration hubs. The data was gathered from invited presentations and discussions among participants at an international multidisciplinary symposium, including health and social scientists from Toronto (Canada) and Paris (France), major urban centres attracting large numbers of immigrant and refugees who constantly encounter challenges for their successful settlement. The focus is on alternative care thinking and innovative approaches for better care and understanding of these populations’ health behavior. Recommendations on how to advance knowledge relevant for these two urban hubs of immigration were documented, underpinned by the consensus that economic disparities, societal and political forces, as well as cultural and linguistic factors, influence immigrants’ and refugees’ vulnerability regarding mental health stability.
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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 | 0.009 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.029 |
| Scholarly communication | 0.011 | 0.010 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.002 | 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".