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Record W4311154939 · doi:10.1017/s0963180121000943

Two Views of Vulnerability in the Evolution of Canada’s Medical Assistance in Dying Law

2022· article· en· W4311154939 on OpenAlexaffabout
Sarah J. Lazin, Jennifer A. Chandler

Bibliographic record

VenueCambridge Quarterly of Healthcare Ethics · 2022
Typearticle
Languageen
FieldHealth Professions
TopicEthics in medical practice
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsParliamentAutonomyLawDutyPolitical scienceBioethicsVulnerability (computing)Medical lawGovernment (linguistics)SociologyPolitics

Abstract

fetched live from OpenAlex

Canada is six years into a new era of legalized medical assistance in dying (MAiD). The law continues to evolve, following a pattern in which Canadian courts rule that legal restrictions on eligibility for MAiD are unconstitutional and Parliament responds by gradually expanding eligibility for MAiD. The central tension underlying this dialogue between courts and government has focused on two conceptions of how to best promote and protect the interests of people who are vulnerable by virtue of intolerable and irremediable suffering due to an illness, disease, or disability. Do we, as a society, have a duty to protect vulnerable people from seeking certain medical procedures that are contrary to their interests, as those are perceived by others? Or do we have a duty to uphold their rights to autonomy, including the right to make choices within a range that may be constrained by many factors, some of which may be socially unjust? This is a recurrent problem in bioethics and medical law, which we explore through the lens of how Canadian courts and Parliament have grappled with defining eligibility for MAiD.

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)0.010
metaresearch head score (Gemma)0.022
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 score0.717
Threshold uncertainty score0.831

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.022
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0500.069
Scholarly communication0.0200.007
Open science0.0030.010
Research integrity0.0100.014
Insufficient payload (model declined to judge)0.0050.000

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 head0.115
GPT teacher head0.480
Teacher spread0.365 · 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

Citations9
Published2022
Admission routes2
Has abstractyes

Explore more

Same venueCambridge Quarterly of Healthcare EthicsSame topicEthics in medical practiceFrench-language works237,207