“We Are All Alive . . . But Dead”: Cultural Meanings of War Trauma in the Tamil Diaspora and Implications for Service Delivery
Bibliographic record
Abstract
Providing culturally appropriate mental health services to war-affected refugees residing in the West continues to pose many challenges. Gaining firsthand knowledge from the refugee communities themselves is crucial to improving our knowledge and guiding our interventions. The purpose of this study is to understand perceptions of war trauma in the Tamil diaspora. Fifty-one Sri Lankan Tamils living in the Greater Toronto Area, Canada, were interviewed. Transcripts were thematically analyzed using content analysis. Findings indicate that war trauma is not viewed by the diaspora as a pathological notion. Positioned within a moral context, and independent from isolated events of war, manifestations of war trauma were discussed at an interpersonal and collective level. Diagnostic categories, including post-traumatic stress disorder (PTSD), do not seem to fully capture the breadth of war trauma in this diaspora community. Implications for service delivery, and for incorporating the unique aspects of suffering resulting from a fragmented community, are discussed.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.021 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| 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".