Theoretical Perspectives on Issues and Interventions Related to Migrant Resettlement in Canada
Bibliographic record
Abstract
International migration has increased at a significant rate over the past several decades as many migrants relocate in the hope of finding better living conditions. Unfortunately, not all migrants realize their dreams but instead find themselves in poor living conditions and are less satisfied with their health and well-being. The purpose of this article is to explore the factors that influence the integration of migrants into a new culture through two theoretical lenses: transitions theory and acculturation theory. The authors propose that acculturation and transition are influenced by factors at both the societal and individual level and therefore interventions aimed at promoting successful integration should be focused at both those levels. This article adds a new perspective to the migrant health framework and offers a new approach for researchers, clinicians, and program developers. The overall health and well-being of migrants may improve by focusing on individual factors that contribute to successful settlement through predeparture or early arrival preparation programs.
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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 | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.023 | 0.019 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.004 | 0.006 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.010 | 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".