“In our community, a friend is a psychologist”: An ethnographic study of informal care in two Bhutanese refugee communities
Bibliographic record
Abstract
The recent rise in suicide among Bhutanese refugees has been linked to the erosion of social networks and community supports in the ongoing resettlement process. This paper presents ethnographic findings on the role of informal care practiced by relatives, friends, and neighbors in the prevention and alleviation of mental distress in two Bhutanese refugee communities: the refugee camps of eastern Nepal and the resettled community of Burlington, Vermont, US. Data gathered through interviews ( n = 40, camp community; n = 22, resettled community), focus groups (four, camp community), and participant observation (both sites) suggest that family members, friends, and neighbors were intimately involved in the recognition and management of individual distress, often responding proactively to perceived vulnerability rather than reactively to help-seeking. They engaged practices of care that attended to the root causes of distress, including pragmatic, social, and spiritual interventions, alongside those which targeted feelings in the "heart-mind" and behavior. In line with other studies, we found that the possibilities for care in this domain had been substantially constrained by resettlement. Initiatives that create opportunities for strengthening or extending social networks or provide direct support in meeting perceived needs may represent fruitful starting points for suicide prevention and mental health promotion in this population. We close by offering some reflections on how to better understand and account for informal care systems in the growing area of research concerned with identifying and addressing disparities in mental health resources across diverse contexts.
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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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.015 | 0.012 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.005 |
| 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".