Stresses of Passage, Balms of Resettlement, and Posttraumatic Stress Disorder among Sri Lankan Tamils in Canada
Bibliographic record
Abstract
OBJECTIVES: To explore the salience of pre- and postmigration stresses as risk factors for posttraumatic stress disorder (PTSD) and to identify resilience factors and explore their mental health salience. METHODS: We conducted a mental health survey of 1603 Sri Lankan Tamils in Toronto, incorporating the World Health Organization Composite International Diagnostic Interview for PTSD. RESULTS: According to the International Classification of Diseases, 10th Revision, criteria, lifetime prevalence for PTSD was 12%; according to the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, criteria it was 5.8%. Female sex and the number of stresses of passage increased the probability of PTSD, whereas satisfaction with life and the availability of nonfamily social relations reduced it. CONCLUSIONS: Consideration of pre- and postmigration stresses of passage and of the nature of resilience contributes to an improved understanding of PTSD among refugees.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".