THE “ILLUSION OF COMPENSATION”: CY PRÈS DISTRIBUTIONS IN CANADIAN CLASS ACTIONS
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In both the US and Canada, the now common use of cy pres in the design of class action settlement distribution plans represents a radical transformation of the original cy pres doctrine. Despite the facilitative role of class actions in aggregating claims, in some cases there may be no practical way to calculate or pay hundreds of thousands of small claims. The cy pres device has become the mechanism by which aggregation of loss is effected. It is therefore used not only to dispose of unclaimed settlement funds, but to avoid having class members claim a portion of the settlement at all. In this way, cy pres creates the “illusion of compensation” because the bulk of the class receives no compensation at all. This paper critically and empirically examines the use of cy pres in Canadian class actions, with references to developments in American cy pres jurisprudence. It explores the various judicial approaches to the device, and provides a comprehensive collection of data regarding the nature and extent of cy pres use in Canada. The author concludes with observations about the policy implications of resort to cy pres in Canadian class action settlements.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 it