The Moral Asymmetry of Conscientious Provision and Conscientious Refusal: Insights from Oppression and Allyship
Bibliographic record
Abstract
Conscientious refusal involves decisions by healthcare workers, on grounds of their conscience, to refuse to provide legal, professionally permissible and safe health interventions to patients. Conscientious provision involves decisions by healthcare workers, also on grounds of conscience, to provide safe and beneficial healthcare to patients that is prohibited by law or policy. Some bioethicists believe that the moral issues governing both are identical, and that if one permits conscientious refusals, one should also permit conscientious provisions. This article argues that this assumption of symmetry is incorrect. To demonstrate this, it does the following: first, it establishes why it matters that we understand the difference between them; second, it describes three recent cases of conscientious provision in Canadian healthcare to help characterize its nature and scope; third, it situates these cases in a socio-economically nuanced analysis of the role of the conscientious provider under conditions or privilege and oppression; finally, it applies insights from the cases and the intersectional analysis to common criticisms of conscientious refusal to reinforce the fundamental asymmetries between conscientious refusal and conscientious provision.
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 | 0.009 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.016 | 0.114 |
| Scholarly communication | 0.009 | 0.010 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.005 | 0.008 |
| 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".