How Much is Too Much? Contingency Fees in Class Actions
Why this work is in the frame
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Bibliographic record
Abstract
The overall objective in the court approval process for class counsel fees is to arrive at a fee that is fair and reasonable. Ontario's courts have developed a number of benchmarks in determining fairness and reasonableness, focusing on the success achieved for the class and the work performed by counsel. In a series of cases released in late 2013, however, one Superior Court judge has posited that success achieved and work performed are either unascertainable or useless factors, and has proposed instead that all counsel be awarded a one-third contingency fee in all class action settlements. In this article, I critique that approach, and argue that it is is inconsistent not only with class proceedings legislation, but also out of step with US trends and with case law regarding contingency fees more generally.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 it