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Record W4415819521 · doi:10.7202/1121339ar

What Ontario MAID Death Review Committee Reports Tell Us About Canada’s MAID Policy and Practice — And About the Overhaul It Needs

2025· article· en· W4415819521 on OpenAlex
Trudo Lemmens

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCanadian Journal of Bioethics · 2025
Typearticle
Languageen
FieldPsychology
TopicHealthcare Decision-Making and Restraints
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsLegislatureNarrativeState (computer science)Ethical issuesInformed consentSelect committeeEthics committee

Abstract

fetched live from OpenAlex

This paper critically examines the evidence of Medical Assistance in Dying (MAID) practice in Ontario, as documented in reports from the Ontario Chief Coroner’s MAID Death Review Committee (MDRC), of which the author is a member. Drawing on case narratives and anonymized discussions summarized in a recent MDRC report on dementia, and in earlier MDRC reports, the author highlights troubling components of current MAID practice, particularly focusing on MAID of persons with dementia. The paper documents at times minimalistic capacity evaluations, questionable informed consent procedures, and flexible interpretations of legal criteria such as “reasonably foreseeable natural death” and “advanced state of irreversible decline.” The analysis reveals how current practices may circumvent criminal law-based legislative safeguards, including through the use of Waivers of Final Consent that resemble advance requests for MAID, which are prohibited under the Criminal Code. The paper argues that guidance documents of the Canadian Association of MAID Assessors and Providers contribute to practices that appear in tension with the law. In conclusion, the paper calls for an overhaul of the system, including through stricter legislative criteria, independent review mechanisms, and enhanced professional oversight, which should reflect the irreversible and most serious outcome of the procedure.

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.

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)0.004
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.580
Threshold uncertainty score0.971

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.004
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 integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.074
GPT teacher head0.408
Teacher spread0.334 · 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