Using Class Actions to Redress Historical Wrongs Committed by the Government
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
The author argues that in many circumstances class actions can be an effective tool to redress historical wrongs committed by the Canadian government. First, a historical wrong’s suitability to be brought as a class proceeding must be assessed on the basis of whether the action meets the stated aims of judicial economy, access to justice, and behaviour modification, as well as through an analysis of other pragmatic issues. Like the majority of class actions, those for historical wrongs generally result in a settlement. Next, an examination of these settlements reveals that they can be understood to offer appropriate redress for historical wrongs when viewed through a reconciliatory, not a restorative, lens. Rather than claiming that monetary compensation restores the status quo, the reconciliatory perspective of class action settlements, exemplified by the Indian Residential School Settlement Agreement, views them as a means to establish trust and respect between perpetrator and victim. Finally, class actions also play an important role where the government is reluctant or unwilling to settle. In this situation, a class action provides victims with the best hope of redress. Essentially, class actions provide marginalized groups that have suffered historical wrongs with an instrumental and often necessary tool to seek compensation from the government.
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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 | 0.000 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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