Bibliographic record
Abstract
The process used to select judges of the Supreme Court of Canada has provoked criticism from the start. Some observers argue the process - where the prime minister has unfettered discretion - suffers from a democratic deficit, but there is also disagreement regarding alternative methods of selection. The Democratic Dilemma: Reforming Canada's Supreme Court explores the institutional features of the Court, whether the existing process used to select judges ought to be reformed, the overall legitimacy of the Court, as well as the selection and appointment processes of Supreme Court justices in other liberal democracies. This book will be of special interest to students and scholars of Canadian federalism, the judiciary, and comparative supreme courts. The Democratic Dilemma: Reforming Canada's Supreme Court is the second volume in the Institute of Intergovernmental Relations' Democratic Dilemma series. The first, The Democratic Dilemma: Reforming the Canadian Senate is edited by Jennifer Smith. Contributors include Arthur Benz (Technische Universität Darmstadt, Germany), Jorge O. Bercholc (Institute of Social and Legal Research Ambrosio L. Gioja), Eugénie Brouillet (Université Laval), Erin Crandall (McGill University), Neil Cruickshank (Algoma University), F.C. DeCoste (University of Alberta), Yonatan Fessha (University of the Western Cape, South Africa), Peter W. Hogg (Blake, Cassels & Graydon LLP), Eike-Christian Hornig (Technische Universität Darmstadt, Germany), Allan C. Hutchinson York University), Achim Hurrelmann (Carleton University), Andrée Lajoie (Université de Montréal), Martin Manolov (Human Resources and Skills Development Canada), Aman McLeod (Rutgers University), Peter McCormick (University of Lethbridge), Peter Oliver (University of Ottawa), Yves Tanguay (CRIDAQ), Alan Trench (solicitor, England and Wales), and Nadia Verrelli (Algoma University and Queen's University).
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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; a candidate call from one teacher head, 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".