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Record W4413243850 · doi:10.3138/ccar.v18i1.53

Early Disposition or Prejudicial Attrition? An Analysis of Bill 161 and Pre-Certification Dispositive Motions in Class Actions

2022· article· en· W4413243850 on OpenAlexaboutno aff
Fiona Sarazin

Bibliographic record

VenueCanadian Class Action Review · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicDispute Resolution and Class Actions
Canadian institutionsnot available
Fundersnot available
KeywordsDiscretionCertificationClass actionJurisprudenceLawPolitical scienceWaiverClass (philosophy)Law and economicsSociologyComputer science

Abstract

fetched live from OpenAlex

The number of class actions filed in Canada each year is increasing, and the rate of certification is high. Until recently, certification hearings have been the unequivocal first step in a collective action, subject to the sequencing discretion of the presiding adjudicator. However, the legislative framework governing class actions litigation in Ontario was recently overhauled, with major changes to the Class Proceedings Act coming into force in late 2020. Among these amendments was the addition of an “Early Resolution” provision, which turns the certification-first rule on its head. The newly enacted section 4.1 has the effect of statutorily reversing jurisprudential trends by requiring early dispositive motions to be heard prior to certification and narrowing the broad discretion granted to judges under section 12. In this article, I evaluate section 4.1 by cross-referencing trends in judicial reasoning with the policy arguments of legislators and stakeholders in favour of this provision, as well as nascent jurisprudence from the Ontario Superior Court which attempts to parse section 4.1. This study surveys a total of 104 decisions across nine jurisdictions, decided over the last twenty-one years, where the sequencing of preliminary dispositive motions was at issue. Ultimately, I argue that section 4.1 is based, in part, on rationales that are more cogent in theory than in practice, and that legislators would do well to take heed of judicial trends as practical evidence to inform solutions to systemic concerns. This leaves us with a dramatic shift in Ontario class actions law, predicated on untested rationales rather than existing jurisprudence.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.578
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.065
GPT teacher head0.310
Teacher spread0.245 · 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.

Study designObservational
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
Published2022
Admission routes1
Has abstractyes

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