“Something in our hearts”: challenges to mental health among urban Mayan women in post‐war Guatemala
Bibliographic record
Abstract
Purpose This paper aims to examine the long‐term mental health consequences of war from the perspectives of urban Mayan women in post‐war Guatemala. Design/methodology/approach Ethnographic methodologies, namely participant observation and in‐depth qualitative interviews were carried out during 12 months of fieldwork in Guatemala City. Findings The findings indicate that urban indigenous women confront a range of unresolved war‐related traumas and psychosocial distress that require specific attention by researchers, policy makers and service providers. It is argued that psychosocial interventions aimed at addressing the traumas of war must take into account present day conditions of post‐war violence, poverty, and social inequity that threaten the health and well‐being of indigenous peoples. Practical implications Recommendations are provided for promoting the mental health of urban indigenous women affected by war. Originality/value Research that has been conducted on the mental health effects of war has tended to focus on rural areas of the country. This article advances the research on post‐war Guatemala through a focus on urban Mayan indigenous women.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| 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".