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 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 | 0.020 | 0.071 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.004 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 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".