Double Burden of Rural Migration in Canada? Considering the Social Determinants of Health Related to Immigrant Settlement Outside the Cosmopolis
Bibliographic record
Abstract
There is a large and growing body of research acknowledging the existence of health disparities between foreign-born and native-born populations in many high immigrant-receiving countries. Significant attention has been paid to the role of physical and social environments in the changing health status of immigrants over time. However, very limited attention has been given to these issues within the context of rural geographies, despite global evidence that immigrants are increasingly settling outside of traditional gateway cities and into rural communities. This paper presents the results of a scoping review aimed at assessing the state of knowledge on the health impacts of immigrant migration into rural communities in Canada. Guided by Arksey and O'Malley's scoping protocol, we conduct a review of academic literature in Canada related to rural migration. A total of 25 articles met inclusion criteria which included access to the social determinants of health. Findings identified a paucity of research directly connecting rural settlement to health but the literature did emphasize five distinct social determinants of health for rural residing immigrants: social inclusion, culturally-appropriate services, gender, employment, and housing. This paper concludes with an identification of research gaps and opportunities for future research into whether rural-residing immigrants face a double burden with respect to health inequity.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".