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Record W6987104479

Should Medical Assistance in Dying Extend to Include Mental Illness?

2024· article· en· W6987104479 on OpenAlexaboutno aff

Bibliographic record

VenueScholarship at UWindsor (University of Windsor) · 2024
Typearticle
Languageen
FieldPsychology
TopicHealthcare Decision-Making and Restraints
Canadian institutionsnot available
Fundersnot available
KeywordsLegislationParliamentMental illnessLegislatureSet (abstract data type)Natural (archaeology)
DOInot available

Abstract

fetched live from OpenAlex

In June 2016, the Parliament of Canada enacted federal legislation, known as Bill C-14, that outlined the eligibility criteria for Canadian adults to receive medical assistance in dying (MAID). The most important condition highlighted by the legislation was that a natural death must be a reasonably foreseeable future event (Truchon c. Procureur General du Canada, 2019). Two criteria, in particular, organized the broader intent of the legislation. First, a person's death must be reasonably foreseeable, and second, the medical condition must be grievous and irremediable. While the first criterion appears to exclude individuals whose sole underlying condition is a mental illness, the latter does not explicitly exclude those with mental illness (Freeland et al., 2021, p. 72). Due to the challenging wording of Bill C-14, it has been explicitly stated that people with mental illness could not legally access medical assistance in dying (MAID). Bill C-7 was put into force and effect years later, which amended the powers of Bill C-14. As of 2020, Bill C-7 established a separate set of procedural safeguards for individuals whose natural death is not reasonably foreseeable, however, this new legislation also excludes people with mental illness from accessing MAID (Nicol & Tiedemann, 2021). I will explore the thorny debate around whether MAID should extend to those with a mental illness, and ultimately show the legislative changes throughout the last few years and provide insight into potential future issues surrounding the extension of MAID to vulnerable people in Canada.

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)0.007
metaresearch head score (Gemma)0.024
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 score0.565
Threshold uncertainty score0.876

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.024
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0090.018
Scholarly communication0.0070.009
Open science0.0020.005
Research integrity0.0130.017
Insufficient payload (model declined to judge)0.0050.001

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 head0.056
GPT teacher head0.368
Teacher spread0.312 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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