Exploring the Migration and Health Trajectories of Iranian Refugees in Canada
Bibliographic record
Abstract
This study focuses on the migration and health trajectories of Iranian refugees in Canada. More specifically, it addresses how post-2009 Iranian refugees in Canada understand and view their migration and health-related experiences. In addition, this research explores how Iranian refugees perform agency and power in the constrained frames of their migration and health trajectories. A phenomenological framework based on lived experiences is used to address these issues, together with intersectionality and political economy perspectives. Data are collected through qualitative interviews with 15 Iranian refugees as well as through online content published in weblogs and other websites. The results of this study illustrate that Iranian refugees have diverse migration trajectories, varying in terms of their pre-migration, waiting, and post-migration experiences. These diverse experiences shape their physical and mental health trajectories and access to healthcare. While refugee migration leads to lifestyle and health behavior changes affecting their physical health, their mental health is often affected by the trauma, grief, loss, stress, social isolation, and loneliness associated with displacement. Still, Iranian refugees perform agency in various ways in an effort to cope with these experiences.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.014 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".