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Record W2320706894 · doi:10.3138/ccar.v11i2.393

… and Yet so Far? The Utility of the Cy Près Doctrine in Class Proceedings Against the Crown

2016· article· en· W2320706894 on OpenAlexaboutno aff
Aaron Dewitt

Bibliographic record

VenueCanadian Class Action Review · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicDispute Resolution and Class Actions
Canadian institutionsnot available
Fundersnot available
KeywordsDoctrineClass actionSettlement (finance)Political scienceAppealLawLegislationEconomicsState (computer science)

Abstract

fetched live from OpenAlex

In this paper I explore why class action settlements with the Crown seem to redeem the role of the oft-deprecated cy près doctrine in class proceedings. The equitable doctrine of cy près has been adopted and adapted to class actions in nine Canadian common law provincial jurisdictions, yet its use has come under criticism for failing to be linked to the cause of action or the goals of the class action legislation. Despite this, cy près has been used to apparent great effect on two occasions where the Crown (Federal and Ontario, separately) has been the defending party: (1) the Indian residential schools settlement, and (2) the Huronia Regional Centre settlement. On those occasions, the general criticisms of cy près provisions tend to fail. Following an overview of the cy près doctrine and the goals of class actions linked to the doctrine, I discuss application of cy près in class actions. The critical discourse of the doctrine is touched upon before reviewing the relevant provisions in the two class action settlements with the Crown. I then compare the relevant settlement provisions with the common criticisms of cy près. I conclude that through the lens of actions in public law, the cy près doctrine helps to achieve the ends of class proceedings legislation. Applying the arguments of Stratas JA of the Federal Court of Appeal in Paradis Honey, I find the distinction between public and private law actions to be a helpful tool in explaining the success of the two government settlements in light of the general criticisms.

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.830
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.033
GPT teacher head0.250
Teacher spread0.217 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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