Should Institutional Conscientious Objection to Assisted Dying be Accommodated?
Bibliographic record
Abstract
The contentious, topical debate about whether faith-based health care organizations should be granted accommodation on the basis of institutional conscientious objection to medical assistance is dying (MAiD) is addressed through a comparative analysis of arguments on both sides of the issue that references such relevant considerations as: claimed ‘moral-authority’, competing rights-based claims, obligations arising from patient welfare principles, formal justice, dissimilarity in consequences, and two illustrative arguments from analogy. The analysis leads to the conclusion that nonconditional accommodation on the basis of institutional conscientious objection to MAiD is not ethically acceptable in Canada. A compromise mechanism, consisting of a suggested set of pragmatic conditions, is proposed that could effectively balance the competing moral responsibilities that arise from this conclusion and a core assumption of the paper, i.e., that some dominant faith-based health institutions can legitimately request, and expect, that provincial/territorial governments pay them a measure of respect in their operational, health-care-delivery decision making because of these institutions’ long history of providing high quality, health care in Canada. It is further suggested that provincial/territorial governments only allow large, publicly funded, faith-based health care organizations to enact a conditional version of accommodation on the basis of institutional conscientious objection to MAiD in circumstances where the organization has entered into a formal agreement with the relevant health department to meet the proposed, compromise conditions (or a relevantly-similar set of conditions).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.014 | 0.036 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.048 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.010 | 0.009 |
| Insufficient payload (model declined to judge) | 0.003 | 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".