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Record W2216914911 · doi:10.60082/2817-5069.1494

Euthanasia and Assisted Suicide in the Post-Rodriguez Era: Lessons from Foreign Jurisdictions

2000· article· en· W2216914911 on OpenAlexvenueaboutno aff
Michael Cormack

Bibliographic record

VenueOsgoode Hall law journal · 2000
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsnot available
Fundersnot available
KeywordsLegislationAssisted suicideLawAutonomyJurisprudencePolitical scienceGovernment (linguistics)LegislatureBeneficence

Abstract

fetched live from OpenAlex

Euthanasia and assisted suicide are highly controversial subjects that have drawn much attention in Canada over the last two decades. This paper outlines how the Netherlands, the United States, Australia, and Canada have approached the practices. Jurisprudence, public opinion polls, legislative developments, and the positions of medical organizations and their members are included in the analysis. A number of arguments for and against the continued prohibition of the practices in Canada are evaluated. As well, information regarding the extent to which euthanasia and assisted suicide are performed in these countries is assessed. It will be shown that Canadians currently enjoy significant control over decisions concerning end of life. The principles of autonomy and beneficence provide the foundation necessary to justify lifting the prohibition of voluntary euthanasia and assisted suicide in Canada. With regard to the development of safeguards, the way in which foreign jurisdictions have dealt with both procedures is highly instructive. A qualified system of pre-authorization, unlike those adopted elsewhere, would prevent abuses from occurring and maintaining the prohibition of non-voluntary and involuntary euthanasia. Since legislators are in the best position to deal with the issues, change in the law should be made by the government, not the judiciary. Practical legislation is feasible and a proposal of what this should entail is presented.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.471
Threshold uncertainty score0.986

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.140
GPT teacher head0.408
Teacher spread0.268 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations5
Published2000
Admission routes2
Has abstractyes

Explore more

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