Conscientious objection and moral distress: a relational ethics case study of MAiD in Canada
Bibliographic record
Abstract
Conscientious objection has become a divisive topic in recent bioethics publications. Discussion has tended to frame the issue in terms of the rights of the healthcare professional versus the rights of the patient. However, a rights-based approach neglects the relational nature of conscience, and the impact that violating one's conscience has on the care one provides. Using medical assistance in dying as a case study, we suggest that what has been lacking in the discussion of conscientious objection thus far is a recognition and prioritising of the relational nature of ethical decision-making in healthcare and the negative consequences of moral distress that occur when healthcare professionals find themselves in situations in which they feel they cannot provide what they consider to be excellent care. We propose that policies that respect the relational conscience could benefit our healthcare institutions by minimising the negative impact of moral distress, improving communication among team members and fostering a culture of ethical awareness. Constructive responses to moral distress including relational cultivation of moral resilience are urged.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.052 | 0.138 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.002 | 0.045 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".