Suicide in Different Cultures: A Thematic Comparison of Suicide Notes From Turkey and the United States
Bibliographic record
Abstract
Suicide is a global concern, hence, cross-cultural research ought to be central; yet, there is a paucity of cross-cultural study in suicidology. A thematic or theoretical-conceptual analysis of 60 suicide notes drawn from Turkey and the United States, matched for age and sex, was undertaken, based on Leenaars’s empirical-based multidimensional model of suicide. The results suggested that there were more culturally common factors than specific differences; yet, not consistent with previous cross-cultural studies of suicide notes, differences emerged in Turkey notes expressing more indirect and veiled communications (indirect expressions). Specifically, Turkish notes expressed that there may be more reasons to the act than the person writes. It was concluded that the model may be applicable to suicide in both countries, but also much greater cross-cultural study is warranted on specific cultural risk factors. A question raised is whether the findings are related to collectivism versus individualism.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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 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".