Bibliographic record
Abstract
INTRODUCTION OR BACKGROUND: The public assumes that if euthanasia and assisted suicide were to be legalized they would be carried out by physicians. SOURCES OF DATA: In furthering critical analysis, we supplement the discourse in the ethics and palliative care literature with that from medical education and evolving jurisprudence. AREAS OF AGREEMENT: Both proponents and opponents agree that the values of respect for human life and for individuals' autonomy are relevant to the debate. AREAS OF CONTROVERSY: Advocates of euthanasia and assisted suicide give priority to the right to personal autonomy and avoid discussions of harmful impacts of these practices on medicine, law and society. Opponents give priority to respect for life and identify such harmful effects. These both require euthanasia to remain legally prohibited. GROWING POINTS: Proposals are emerging that if society legalizes euthanasia it should not be mandated to physicians. AREAS TIMELY FOR DEVELOPING RESEARCH: The impact of characterizing euthanasia as 'medical treatment' on physicians' professional identity and on the institutions of medicine and law should be examined in jurisdictions where assisted suicide and euthanasia have been de-criminalized.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".