Two Views of Vulnerability in the Evolution of Canada’s Medical Assistance in Dying Law
Bibliographic record
Abstract
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.
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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 | 0.010 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.050 | 0.069 |
| Scholarly communication | 0.020 | 0.007 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.010 | 0.014 |
| Insufficient payload (model declined to judge) | 0.005 | 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".