Institutional non‐participation in assisted dying: Changing the conversation
Bibliographic record
Abstract
Whether institutions and not just individual doctors have a right to not participate in medical assistance in dying (MAID) is controversial, but there is a tendency to frame the issue of institutional non-participation in a particular way. Conscience is central to this framing. Non-participating health centres are assumed to be religious and full participation is expected unless a centre objects on conscience grounds. In this paper we seek to reframe the issue. Institutional non-participation is plausibly not primarily, let alone exclusively, about conscience. We seek to reframe the issue by making two main points. First, institutional non-participation is primarily a matter of institutional self-governance. We suggest that institutions have a natural right of self-governance which, in the case of health centres such as hospitals or hospices, includes the right to choose whether or not to offer MAID. Second, there are various legitimate reasons unrelated to conscience for which a health centre might not offer MAID. These range from considerations such as institutional capacity and expertise to a potential contradiction with palliative care and a concern to not conflate palliative care and MAID in public consciousness. It is a mistake to frame the conversation simply in terms of conscience-based opposition to MAID or full participation. Our goal is to open up new space in the conversation, for reasons unrelated to conscience as well as for non-religious health centres who might nonetheless have legitimate grounds for not participating in 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 | 0.095 | 0.089 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.031 | 0.115 |
| Scholarly communication | 0.028 | 0.051 |
| Open science | 0.005 | 0.024 |
| Research integrity | 0.038 | 0.055 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".