The Right to Assisted Dying: Constitutional Jurisprudence and Its Impact in Canada, Germany and Austria
Bibliographic record
Abstract
Abstract Many states are grappling with the regulation of assistance in suicide and ending the life of another upon their request. Initially punishable in most countries, a growing number of jurisdictions have now introduced permissive frameworks decriminalising, to varying degrees, rendering assistance in dying. Other countries, however, have proceeded with the criminal prohibition and several courts have upheld the lawfulness of the respective criminal laws during human rights and constitutional challenges. Yet, the Supreme Court of Canada in 2015, the German Federal Constitutional Court in February 2020 and the Austrian Constitutional Court in December 2020 have respectively declared unconstitutional and void national criminal laws prohibiting rendering assistance in dying. This article first outlines the criminal law framework relating to assisted dying in Canada, Germany and Austria. It subsequently analyses the judgments before pondering their impact on the legal landscape in the three countries. The article concludes that while the Canadian Supreme Court decision appears to have had a significant impact on the introduction of subsequent legislation in Canada, the effects of the Constitutional Courts’ judgments seem much more subdued in Germany and are yet to unfold in Austria.
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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 | 0.006 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.014 | 0.017 |
| Scholarly communication | 0.010 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.005 |
| 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".