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Record W2261899838

Assisted Suicide and the Notion of Autonomy

2016· article· en· W2261899838 on OpenAlexaff
Gordon DuVal

Bibliographic record

VenueSSRN Electronic Journal · 2016
Typearticle
Languageen
FieldHealth Professions
TopicEthics in medical practice
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPrinciple of legalityAssisted suicideAutonomyPsychologyCriminal lawLawCriminologySocial psychologyPolitical science
DOInot available

Abstract

fetched live from OpenAlex

Objections to the criminal prohibition against euthanasia and assisted suicide are commonly framed in a number of ways, including the perceived threat to vulnerable persons (slippery slope), the sanctity of life, an affirmation of the proper role of the physician in the clinical relationship or the anomaly that is seen to be created by the legality of suicide and refusals of life-sustaining treatment A different type of objection is proposed which focuses on the limits to autonomous decision-making which typically accompany suicidal intentions. It is argued that a criminal prohibition against assisted suicide is justified by doubts about the state of the suicidal individual's understanding, freedom from coercive influences and ability to rationally evaluate his or her situation. While the law may not view one's own suicide as helpfully dealt with by the criminal law, the participation of another, in lending assistance to a suicide, is an appropriate object of criminal sanction. It is conceivable that one contemplating suicide could both make this decision in an adequately autonomous way and also require assistance. However, the difficulties inherent in determining whether a particular suicidal decision is sufficiently autonomous, coupled with its grave and irrevocable consequences, justify a general criminal ban on acts which promote the suicide of another. Decriminalizing such assistance would threaten to abandon suicidal persons to their own potentially inadequate capacity for self-determination at an especially vulnerable time, inviting tragic and irretrievable mistakes.

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)0.008
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.074
Scholarly communication0.0050.004
Open science0.0010.007
Research integrity0.0050.008
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.057
GPT teacher head0.440
Teacher spread0.383 · 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 designTheoretical or conceptual
Domainnot available
GenreEmpirical

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

Citations1
Published2016
Admission routes1
Has abstractyes

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