The Case for a Canadian Panel on Multi-Jurisdictional Class Proceedings
Bibliographic record
Abstract
In Hryniak v Mauldin, the Supreme Court called for a cultural shift to promote timely and affordable access to the civil justice system in Canada. The failings of the civil justice system with respect to class proceedings are particularly troubling. The authors focus on multi-jurisdictional proceedings, which are procedurally complex and notoriously slow-moving, and on past efforts by the bar and bench to render these proceedings more efficient. For the most part, existing reform measures are discretionary, ad hoc, and premised on the consent of all the parties. Whereas cooperation is currently an option under the various reform measures, cooperation should be the rule. The authors recommend that legislatures simplify and expedite class proceedings across the country by creating a Panel based in part on the United States District Courts’ Judicial Panel on Multidistrict Litigation. The Panel would have representation from all provincial jurisdictions and its mandate would be restricted to three areas. First, it would determine the appropriate forum for a national class action to be heard and stay competing class proceedings. Second, it would determine which plaintiff law firms would have carriage of the selected proceeding. Third, where the parties obtain court approval of a settlement in the province having jurisdiction over the case, the Panel would be responsible for approving class action settlements for the other participating provinces. The authors canvas potential constitutional challenges to the proposed model, concluding that the model does not offend section 96 of the Constitution Act, 1867.
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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 | 0.027 | 0.036 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.033 | 0.010 |
| Scholarly communication | 0.014 | 0.008 |
| Open science | 0.006 | 0.007 |
| Research integrity | 0.026 | 0.019 |
| Insufficient payload (model declined to judge) | 0.018 | 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".