The Tunnel at the End of the Light? A Critical Analysis of the Development of the Tri-Council Policy Statement in "Big Picture Bioethics: Developing Democratic Policy in Contested Domains" eds Susan Dodds and Rachel Ankeny
Bibliographic record
Abstract
This book addresses the problem of how to make democratically-legitimate public policy on issues of contentious bioethical debate. It focuses on ethical contests about research and their legitimate resolution, while addressing questions of political legitimacy. How should states make public policy on issues where there is ethical disagreement, not only about appropriate outcomes, but even what values are at stake? What constitutes justified, democratic policy in such conflicted domains? Case studies from Canada and Australia demonstrate that two countries sharing historical and institutional characteristics can reach different policy responses. This book is of interest to policymakers, bioethicists, and philosophers, and will deepen our understanding of the interactions between large-scale socio-political forces and detailed policy problems in bioethics. co-author: Cheluchi Onyemelukwe
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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 | 0.077 | 0.101 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.035 | 0.108 |
| Scholarly communication | 0.034 | 0.041 |
| Open science | 0.004 | 0.014 |
| Research integrity | 0.020 | 0.032 |
| Insufficient payload (model declined to judge) | 0.004 | 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".