Moderators of Stress in Salvadoran Refugees: The Role of Social and Personal Resources
Bibliographic record
Abstract
Refugee research has tended to focus exclusively on the mental health consequences of migration with little attention being devoted to factors that facilitate adjustment. Recently, several cross-cultural researchers have suggested that the growing literature on moderators of stress may elucidate why some migrants experience adverse effects whereas others remain relatively unscathed. This study examines the moderating effects of social and personal resources on the relationship between stress and subjective well-being in 60 recently-arrived and 60 established Salvadoran refugees in Canada. The participants completed a questionnaire that included scales pertaining to stress (life events, hassles, migration-related events), resources (social support, locus of control, self-esteem) and well-being (quality of life, life satisfaction). Varying results were found for both groups. For Recent Refugees, personal resources were found to moderate migration stress. In particular, locus of control buffered the relationships between migration stress and quality of life and life satisfaction, whereas self-esteem buffered the migration stress-quality of life relation. For Established Refugees, social support and self-esteem moderated the relationship between life events and life satisfaction. In addition, social support buffered the effects of hassles on quality of life. The findings underscore the relevance of integrating more firmly the study of refugee adjustment with current developments in stress research.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| 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".