“We are all under the same roof”: Coping and meaning-making among older Bhutanese with a refugee life experience
Bibliographic record
Abstract
OBJECTIVE: Refugees have elevated risk of psychological distress and mental health disorders compared to the general population. The majority of research has been conducted with youth and younger adults, and little is known about the mental health of older refugees. We apply the theoretical framework of meaning making to understand how older Bhutanese with a refugee life experience cope with migratory traumas and grief. METHOD: We conduct semi-structured individual interviews with 41 ethnic-Nepali Bhutanese aged 50 and over with a refugee life experience resettled in the United States and analyze data using thematic content analysis. RESULTS: Forced expulsion from Bhutan was viewed as a violation of core ethnic-Nepali beliefs and sense of purpose related to collective identity. Throughout their 30-year refugee life trajectory, participants utilized coping strategies, including interpersonal support, reappraisal of experiences of trauma and loss, and helping oneself by helping others, that were informed by, and strengthened, this collective identity. These strategies served to both reaffirm worldviews and make new, positive meaning out of a refugee life experience. Individuals who were unable to leverage these strategies struggled to find meaning. CONCLUSIONS: We discuss study implications for psychosocial services for older refugees and contribution to theory on meaning making among diverse, vulnerable populations who experience multiple traumas and loss.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".