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Record W2113012191 · doi:10.1093/bmb/ldt010

Euthanasia is not medical treatment

2013· review· en· W2113012191 on OpenAlexaff
J. Donald Boudreau, Margaret A. Somerville

Bibliographic record

VenueBritish Medical Bulletin · 2013
Typereview
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsMcGill University
FundersArnold P. Gold Foundation
KeywordsAutonomyAssisted suicideBioethicsJurisprudencePalliative careMedical ethicsRight to dieLawMedical lawMedicinePolitical scienceNursing

Abstract

fetched live from OpenAlex

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.002
Science and technology studies0.0010.005
Scholarly communication0.0020.003
Open science0.0010.001
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.256
GPT teacher head0.476
Teacher spread0.220 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations26
Published2013
Admission routes1
Has abstractyes

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