Boundaries of Judicial Review: The Law of Justiciability in Canada, Second Edition
Bibliographic record
Abstract
This book is an innovative work on the scope of judicial decision-making in Canada. Boundaries of Judicial Review: The Law of Justiciability in Canada, 2nd Edition explores the restrictions on which matters courts may decide and which are moot, hypothetical, political in nature or not yet ripe for a decision. A necessary book for practitioners whose work involves constitutional or administrative matters, it addresses questions such as: When will a matter be dealt with in the courts? When will a matter be decided in the legislature or by the executive branch of the government? Which disputes should appropriately be before a judge? Is an issue too premature, complex, vague or hypothetical to be decided by a court? \nThe 2nd edition of Boundaries of Judicial Review: The Law of Justiciability in Canada has been fully updated, reflecting recent developments relating to climate change and foreign relations and controversies over national security and the war against terrorism.
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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 | 0.004 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.006 | 0.011 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.013 | 0.003 |
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".