Reframing political violence and mental health outcomes: outlining a research and action agenda for Latin America and the Caribbean region
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In recent decades, the number of people exposed to traumatic events has significantly increased as various forms of violence, including war and political upheaval, engulf civilian populations worldwide. In spite of widespread armed conflict, guerrilla warfare and political violence in the Latin American and Caribbean region, insufficient attention had been paid in assessing the medium and long-term psychological impact and additional burden of disease, death, and disability caused by violence and wars amongst civilian populations. Following a review of the literature, a few central questions are raised: What is the short, medium and long-term health impact of extreme and sustained forms of violence in a given population? How political violence is linked to poor mental health outcomes at the individual and collective levels? Are trauma-related disorders, universal outcomes of extreme and sustained violence? These questions lead us to reframe the analysis of political violence and mental health outcomes, and reexamine the notions of trauma, after which a research and action agenda for the region is outlined. In the concluding sections, some basic principles that may prove useful when designing psychosocial interventions in post-conflict situations are reviewed.
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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 | 0.001 | 0.001 |
| 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