Seeking Health in a Transnational World: A Case Study of Guyanese Citizens and Migrants in the US and Canada
Bibliographic record
Abstract
Migrants and people who remain in the country of origin experience structural inequalities and exercise individual agency, resulting in material effects on their health. Transnational theory compels us to look beyond national borders to understand the migrant experience as one that is neither confined nor defined by the country of settlement. Non-migrants, in the country of origin, play an important role in supporting those who have left and are themselves supported by the maintenance of cross-border connections. Drawing on 62 in-depth interviews, this research explores how understandings of health and health-seeking behaviours of Guyanese citizens and Guyanese migrants in Canada and the US are affected by the maintenance of transnational connections across national borders. I employ the concept of therapeutic landscapes to suggest that participants’ understandings of health are not static but informed by their current positionality as a migrant or non-migrant as well as their ability to access care in multiple spaces. This research also extends conceptualizations of migrant medical returns by highlighting the importance of visiting friends and family as a non-biomedical health intervention that forms part of a holistic conceptualization of migrant health. Last, by examining the movement of health products across borders, I show the roles that contemporary and historic inequalities play in shaping the health-seeking behaviours of Caribbean people at home and in the diaspora.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.043 | 0.010 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.003 | 0.005 |
| 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".