Constitutional Law around the globe: judicial review in Canada and the “leave to appeal” to the Supreme Court
Bibliographic record
Abstract
This paper exploring the leave to appeal in Canadian Constitutional Law is the third of the series “Constitutional Law Around the Globe”. This section of the series focuses on “Judicial Review and the Filters to Access Supreme and Constitutional Courts”. The first paper in the row, published in the year 2019, analyzed the Constitutionality Priority Question (Question Prioritaire de Constitutionnalité – QPC) in France. In a second paper, we analyzed the writ of certiorari of the U.S. Supreme Court. In this third text, we approach the process according to which the Supreme Court of Canada picks cases from hundreds that reach it every year and the strategies that the Court adopts to select these cases. The paper focuses specifically on Section 41(1) of the Supreme Court Act (amended in 1975), the leave to appeal and their operation in practice.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.007 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".