The Right to Life, and Death: A Health Equity Approach to Canada’s Expansion of Medical Assistance in Dying for Individuals With Mental Disorder(s)
Bibliographic record
Abstract
Canadian medical assistance in dying (MAID) is positioned to expand to allow voluntary euthanasia for individuals with mental disorders as their sole underlying condition(s) (MAID-MD-SUMC) by 2027. As governments consider this type of legislation, thoughtful critique of proposed eligibility criteria is imperative in order to consider potential consequences that may follow expansion of current policies guiding end-of-life care. As MAID-MD-SUMC enters another phase of revision, we propose two critical consideration: (1) the need to define a comprehensive, empirical basis for the "irremediability" of psychiatric disorders and (2) a more comprehensive consideration of the inextricable links between an individual's surrounding environment, socioeconomic factors, access to healthcare and outcomes resulting from treatment of mental health disorders.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.026 | 0.030 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.020 | 0.060 |
| Scholarly communication | 0.017 | 0.009 |
| Open science | 0.005 | 0.011 |
| Research integrity | 0.016 | 0.025 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".