Suicide prevention: a task for public health and a role for public health ethics
Bibliographic record
Abstract
Suicide is primarily conceptualised as an event with causes relating to individual lives. However, we argue that it is impor tant not to lose sight of the fact that not all causes of suicide are related simply to individual action and circumstances. Clear evidence exists for some risk factors for suicide being visable at the population level or related to membership of various social groups. Strategies to prevent suicide, therefore, ought to focus on such causes (eg. injustice, discrimination, mental illness in general), not just on causes relating to individuals. In turn, this means that suicide prevention should not merely focus on trying to reduce access to the means of suicide by individuals (eg. shotguns in rural areas, pesticides in India, means of strangulation in prisons etc) but should expand to include such things as socio‐economic determinants and other population influences on mental health. We argue that suicide ought to be thought of as being, in an impor tant sense, a public health problem, and that the resources of public health ethics are one impor tant element in seeking to address this impor tant issue.
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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 | 0.014 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".