Class Actions in Canada:: The Promise and Reality of Access to Justice
Bibliographic record
Abstract
Class actions have found their way into the fabric of Canada’s civil justice system. Class action legislation has been in place in Ontario for 27 years and in British Columbia and Quebec for 25 and 40 years respectively. Trial and appellate courts have had many opportunities to deal with and develop the law of class actions. Notwithstanding their longevity, however, there is little qualitative and empirical research to test many of the justice claims that are made in favour of, and the criticisms that are levelled at, class actions. This is the unsettled terrain into which Professor Kalajdzic ventures. Her experience in private practice and in the academy, her membership of the Law Foundation of Ontario’s Class Proceedings Committee and the Law Commission of Ontario’s Class Actions Advisory Group, and her numerous publications and research collaborations on class actions topics, make her very well qualified for the task.
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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 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.040 | 0.022 |
| Scholarly communication | 0.019 | 0.005 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.007 | 0.009 |
| Insufficient payload (model declined to judge) | 0.010 | 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 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".