Facets of Fairness: Kidd v. Canada Life Assurance Company and the Approval of Class Action Settlements
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
Kidd v. Canada Life Assurance Company is one of the most important decisions in class action settlement law since Dabbs v. Sun Life Assurance Co of Canada. After an extensive campaign to secure class support, a pension surplus action was certified and settled. Shortly thereafter, it came to light that the actuarial assumptions on which the parties had proceeded were incorrect. On the basis that the settlement was no longer workable, class counsel moved to enjoin Canada Life from implementing it.Instead of that motion being argued, the parties negotiated an amended settlement. Numerous class members objected. Justice Perell characterized the situation as a choice between two courses where neither was substantively, procedurally, institutionally, or circumstantially fair. He rejected the amended settlement, finding that it would be inconsistent with the court’s responsibilities to approve an unfair settlement just because it is the better of two unfair choices. On the eve of an appeal from this decision by class and defence counsel, the parties negotiated a new amended settlement, which was approved.The case is notable for articulating a four-faceted approach to analyzing settlement fairness: a class action settlement should be substantively, procedurally, institutionally, and circumstantially fair. The author, after providing a pension law primer and a summary of the proceedings, discusses what the fourfold fairness test means in the context of both Kidd itself and the settlements that have been approved since Kidd and that purport to apply it.
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 | 0.000 |
| Science and technology studies | 0.000 | 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