Psychosocial and cultural motivations for self-inflicted burns among Iranian women
Bibliographic record
Abstract
When the world of public health considers the health of women, one tendency is first and foremost to link the well-being of women to that of children and the family, and, legitimately, to the health of society overall. Epidemiological data point to sex differences in the patterns and clusters of psychiatric disorders and psychological distress. The origins of much of the pain and suffering particular to women can be traced to their social circumstances. Depression, hopelessness, exhaustion, anger and fear grow out of hunger, overwork, domestic and civil violence, entrapment and economic dependence. Understanding the sources of women's ill health demands awareness of how cultural and economic forces interact to undermine their social status. This article highlights aspects of social suffering among women in Iran. Self-inflicted burns, a significant indicator of mental health among Iranian women, are discussed in order to increase awareness of the phenomenon among the international community, as a first step towards initiating an improvement in the health of women in Iran.
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How this classification was reachedexpand
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 | 0.000 | 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) | 0.001 | 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 teacher head, 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".