Permitting Voluntary Euthanasia and Assisted Suicide: Law Reform Pathways for Common Law Jurisdictions
Bibliographic record
Abstract
<p><em><span style="font-family: Times New Roman; font-size: medium;">End of life law and policy reform is the subject of much discussion around the world. This paper explores the pathways to permissive legal regimes that have been tried in various common law jurisdictions. These include legislation, prosecutorial charging guidelines, court challenges, jury nullification, the exercise of prosecutorial discretion in the absence of offence-specific charging guidelines, and the exercise of judicial discretion in sentencing. In this paper, I describe these pathways as taken (or attempted) in five common law jurisdictions (USA, UK, Australia, New Zealand, and Canada) and reflect briefly on lessons that can be drawn from the recent experiences with law reform in Canada. Through its bird’s eye view, it highlights the remarkable number and variable nature of past attempts at law reform and suggests a shifting tide. It debunks some common myths that have either limited or stymied reform in the past. Finally, it illuminates jurisdictional similarities and differences and lessons learned by those who have gone before so as to inform choices about pathways to pursue for those who will seek to advance a law reform agenda in the future.</span></em></p>
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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 | 0.016 | 0.037 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.021 |
| Scholarly communication | 0.013 | 0.006 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.011 | 0.011 |
| 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".