Bibliographic record
Abstract
Do we have a genuinely Canadian bioethics – and not only a practice of bioethics in Canada? This question, and this paper, are about the connection between bioethics and the actual healthcare, research, and public health experiences of Canadians. In addressing it, I am inspired by the philosophy of pragmatism that stresses the importance of everyday experience as a starting point for ethics, and of human flourishing as a goal for ethics. Through this lens, an ideal Canadian bioethics is one that is rooted in the lived experiences of Canadians; it reflects the ideal of flourishing projected by Canadian individuals, including their views on their political communities. However, it is unclear if a full-fledged Canadian bioethics has taken shape given increasingly uniform scholarship worldwide that sets expectations about the kinds of moral problems worth investigating and the kinds of solutions to be adopted. In the spirit of thinking about this question, I discuss aspects of Canadian society that could shape the development of a Canadian bioethics: (a) the existence of competing Canadian political narratives, (b) the distinctiveness of Canadian healthcare systems and healthcare experiences, (c) the commitment of Canadians to certain values and aspirations, (d) the institutional and procedural aspects of the Canadian public sphere, (e) the challenges of increasingly uniform scholarship across geographic and national contexts, and (f) the practical obstacles to developing a Canadian bioethics. These challenges that Canadian bioethics faces are likely relevant internationally for all contexts in which socially shaped moral problems are discussed and solutions envisioned.
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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 | 0.019 | 0.046 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.036 | 0.045 |
| Scholarly communication | 0.030 | 0.014 |
| Open science | 0.003 | 0.006 |
| 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".