The Political Economy of Mental Health in <scp>V</scp>ietnam: Key Lessons for Countries in Transition
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Among low‐ and middle‐income countries, there is evidence that populations experiencing rapid political and economic transition have particularly high burdens of disease and disability from mental health conditions. This paper undertakes a political economy analysis of mental health in Vietnam to enhance knowledge translation, notably how both explicit and tacit knowledge can be used to promote evidence‐based policy making. It argues that Vietnam's experience illustrates the need to better understand, not only how transition transforms societies, but how it impacts on the mental health needs and care of populations. The political economy of transition in Vietnam has so far given highest priority to economic growth through integration with the world economy and public sector reform. There is a need to recognise that transition in Vietnam poses both a potential threat to the care of people with mental health needs, and an opportunity to develop mental health services appropriate to local contexts.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it