Ocean waves and roadside spirits: Thai health service providers' post‐tsunami psychosocial health
Bibliographic record
Abstract
A massive earthquake off the west coast of Sumatra in Indonesia triggered a tsunami on 26 December 2004. At least five million people around the world were affected, and the total number of deaths exceeded 280,000. In Thailand, the tsunami struck six southern provinces, where the disaster's immediate impact was catastrophic. Based on ethnographic fieldwork in Phang Nga Province (2007), this paper provides an overview of the disaster's psychosocial consequences for Thai health service providers, the vast majority of whom were bypassed by regional post-tsunami mental health initiatives. The available tsunami literature only briefly attends to health providers' experience of professional 'burn-out', rather than explores the tsunami's wide spectrum of psychosocial effects. This research aims to remedy such oversights through 'critical medical' and 'interpretive phenomenological' analysis of the diverse and culturally-situated ways in which health providers' experienced the tsunami. The paper concludes by arguing for disaster-related psychosocial interventions to involve health providers explicitly.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".