Female and male suicides in Batman, Turkey: poverty, social change, patriarchal oppression and gender links
Bibliographic record
Abstract
Traditional sociological theories have overlooked the different reasons why men and women commit suicide. In this paper, we first discuss and then challenge traditional theories, paying close attention to Batman, Turkey where suicide rate for women is much higher than for men. Based on interviews with the guardians of 31 suicide victims, we attempt to reconstruct the disheartening living \nconditions of the victims. The disheartening conditions in Batman are due to geographic isolation, terrorist/ultra-religious activities and an unprecedented migration to city centers. The outcomes are unemployment, poverty, demise of education and healthcare systems and congested, substandard housing arrangements. Yet, the presence of such anomic conditions have not alarmingly raised the suicide rates of Batman men. We suggest that extreme patriarchal oppression of Batman women may \nbe responsible for their high suicide rate. Our observations lead us to believe that prevention of female suicides may require the loosening of the patriarchal choke on women in general and young women in particular.
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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 | 0.000 | 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 | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".