The Right of Religious Hospitals to Refuse Physician-Assisted Suicide
Bibliographic record
Abstract
The Supreme Court of Canada’s decision to allow medical assistance in dying (MAiD) has created a crisis of conscience for religious hospitals that refuse MAiD based on religious beliefs and conscience. This paper argues that when the law is revised concerning fundamental human life issues (FHLI), such as assisted suicide, liberal democracies must tolerate religious communities and institutions that refuse to accept the law’s revision. This toleration for religious belief and practice is predicated on the idea that the religious practice at issue remains legal and forms part of the religious community’s moral framework to which the state remains neutral. A refusal to tolerate the religious position is a rejection of the collective wisdom of liberal democratic thought that has emphasized religious individual and, by extension, religious institutional freedom. The Christian hospital, having been around for millennia, forms a necessary part of civil society. Robert Putnam’s research on the importance of religion to civic society is used to make the argument that society as a whole benefits from the norm of reciprocity, (“I’ll do this for you now, with the expectation that you (or perhaps someone else) will return the favour”). As the state continues to allow the religious community to have “its” hospital, the community, as a whole, will continue to maintain a high level of trust toward the state. Radical positions from our historical norms require thoughtful reflection of their presuppositions. It would serve us well to maintain a humble appreciation of our cultural heritage even when we think we are right in our newfound positions on FHLI.
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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 | 0.009 | 0.033 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.010 | 0.015 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.010 | 0.014 |
| Insufficient payload (model declined to judge) | 0.006 | 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".