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Record W6992441028

A Legal Framework for the Assessment of a Voluntary Request for Medical Assistance in Dying

2024· article· en· W6992441028 on OpenAlexaboutno aff

Bibliographic record

VenueScholarship@Western (Western University) · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicLegal case studies and regulations
Canadian institutionsnot available
Fundersnot available
KeywordsVoluntarinessParliamentCriminal codeAssisted suicideSupreme courtLegislationDecriminalizationCriminal law
DOInot available

Abstract

fetched live from OpenAlex

In response to the Supreme Court of Canada’s (“SCC”) 2016 ruling Carter v. Canada, Parliament passed Bill C-14, An Act to amend the Criminal Code and to make related amendments to other Acts (medical assistance in dying). Bill C-14 primarily amended section 241 of the Criminal Code to create an exemption to the crime of counselling or aiding suicide, thereby allowing physicians and nurse practitioners to provide eligible patients with medical assistance in dying (MAID). Since Bill C-14, there has been further evolution in the law to allow patients to access MAID if their natural death is reasonably foreseeable or even if natural death is not reasonably foreseeable provided the associated safeguards are met. The evolution of the law to include those whose natural death is not reasonably foreseeable has raised concerns in the medical and legal community about the interpretation of the legal requirement that a request for MAID be voluntary and not the result of external pressure. These concerns include who should be involved in assessing voluntariness and how this is best achieved. Recently this has expanded to include the extent to which psycho-social-economic concerns, factors that may be beyond the control of the individual requesting MAID and the health care team, influence the assessment of voluntariness.\nThis project examines the idea of voluntariness and argues that social workers are uniquely situated to assist with assessing whether a patient’s request is voluntary. Chapter two explores the historical decriminalization of assisted suicide and how voluntariness has been considered in the relevant jurisprudence, including Rodriguez v British Columbia (Attorney General) and Carter v Canada (Attorney General). Chapter three expands my scope of review to other areas of law that consider voluntariness such as the confessions rule arising in the criminal law context, unconscionability as it relates to contract law, and informed consent in health law. A comprehensive review of the various special senate committee reports, which address the development of Bill C-14 and the subsequent expansion of Canada’s MAID regime, is used to inform the intention of the voluntary request provision. Chapter four explores the role of social workers in assisting with voluntariness assessments and considers how they are uniquely situated to assist with this work arising from their professional Code of Ethics and scope of practice. The social work profession has a particular interest in the needs of the vulnerable and identifying barriers to services and unmet psycho-social-economic needs. The consideration of unmet needs play an important role in the assessment of voluntariness. Chapter five pulls together the learnings from the previous chapters and identifies the key legal considerations when assessing voluntariness and the important role of social workers in this work.\nThis project ultimately identifies a role for social workers in assisting physicians and nurse practitioners with voluntariness assessments and suggests they serve as an additional safeguard for ensuring comprehensive voluntariness assessments that consider the individuals’ biopsychosocial context in which the request for MAID arises. It concludes by identifying key legal considerations to assess voluntariness and how the law supports the role of social workers in this work.

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)0.039
metaresearch head score (Gemma)0.026
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 score0.097
Threshold uncertainty score0.208

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0390.026
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0040.002
Science and technology studies0.0170.055
Scholarly communication0.0180.010
Open science0.0060.009
Research integrity0.0200.015
Insufficient payload (model declined to judge)0.0060.002

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 head0.096
GPT teacher head0.413
Teacher spread0.317 · 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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