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Record W2610545303 · doi:10.1177/1363461517703023

“In our community, a friend is a psychologist”: An ethnographic study of informal care in two Bhutanese refugee communities

2017· article· en· W2610545303 on OpenAlexaff
Liana Chase, Ram P. Sapkota

Bibliographic record

VenueTranscultural Psychiatry · 2017
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsMcGill University
FundersUS-UK Fulbright CommissionDartmouth College
KeywordsRefugeeEthnographyPsychologySociologyAnthropologyPolitical science

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.725
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.069
GPT teacher head0.436
Teacher spread0.368 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations48
Published2017
Admission routes1
Has abstractyes

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