Examining Post-Migration Social Determinants as Predictors of Mental and Physical Health of Recent Syrian Refugees in Canada: Implications for Counselling, Practice, and Research
Bibliographic record
Abstract
In response to the increasing number of Syrian refugees being resettled in Canada and worldwide, the present study set out to explore and examine critical post-migration predictors of mental health and physical health of adult Syrian refugees (n = 235) living in Windsor, Ontario. Using survey data collected from the national SyRIA-lth project and grounded in the Social Determinants of Health model, this study tested demographic, contextual, and psychosocial predictors in two regression models of mental health and physical health, respectively. The results showed that both predictive models were significant in explaining Syrian refugees’ mental and physical health outcomes, as hypothesized. Specifically, age, gender, satisfaction of health services, perceived control, and perceived stress predicted mental health in significant ways, whereas age, satisfaction of health services, and perceived stress predicted physical health in significant ways as well. Implications for practice and research with Syrian refugees, given the identified risk and protective factors of health, are considered.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".