Resolving Ethical Dilemmas in Suicide Prevention: The Case of Telephone Helpline Rescue Policies
Bibliographic record
Abstract
The ethical basis of suicide prevention is illustrated by contrasting helpline emergency rescue policies of the Samaritans and the AAS and the U.S. National Suicide Prevention Lifeline network. We contrast moralist, relativist, and libertarian ethical premises and question whether suicide can be rational. Samaritans respect a caller's right to decide to die by suicide; U.S. helplines oblige emergency intervention during an attempt even against the caller's will. We analyze the effect of emergency rescue when there is high suicide risk but an attempt has not been initiated. We examine links between values and actions, needs for empirical evidence to guide practice, and propose vigorous dialogue about values in the gray zone of moral practice.
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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 | 0.056 | 0.065 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.016 | 0.060 |
| Scholarly communication | 0.012 | 0.012 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.013 | 0.011 |
| 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".