Euthanasia and assisted suicide: a physician’s and ethicist’s perspectives
Bibliographic record
Abstract
Abstract: The debate on legalizing euthanasia and assisted suicide has a broad range of participants including physicians, scholars in ethics and health law, politicians, and the general public. It is conflictual, and despite its importance, participants are often poorly informed or confused. It is essential that health care practitioners are not among the latter. This review responds to the need for an up-to-date and comprehensive survey of salient ethical issues. Written in a narrative style, it is intended to impart basic information and review foundational principles helpful in ethical decision-making in relation to end-of-life medical care. The authors, a physician and an ethicist, provide complementary perspectives. They examine the standard arguments advanced by both proponents and opponents of legalizing euthanasia and note some recent legal developments in the matter. They consider an aspect of the debate often underappreciated; that is, the wider consequences that legalizing euthanasia might have on the medical profession, the institutions of law and medicine, and society as a whole. The line of argument that connects this narrative and supports their rejection of euthanasia is the belief that intentionally inflicting death on another human being is inherently wrong. Even if it were not, the risks and harms of legalizing euthanasia outweigh any benefits. Ethical alternatives to euthanasia are available, or should be, and euthanasia is absolutely incompatible with physicians' primary mandate of healing. Keywords: euthanasia, physician assisted-suicide, healing, suffering, palliative care, palliative sedation Corrigendum for this paper has been published
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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 | 0.015 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.005 | 0.019 |
| Scholarly communication | 0.008 | 0.010 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.021 | 0.017 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".