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Record W4413243845 · doi:10.3138/ccar.v18i1.97

Pre-Certification Motions that Dispose of or Limit the Issues at Trial: Six Factors for Judges to Consider

2022· article· en· W4413243845 on OpenAlexaboutno aff
Alexander Mulligan

Bibliographic record

VenueCanadian Class Action Review · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicDispute Resolution and Class Actions
Canadian institutionsnot available
Fundersnot available
KeywordsCertificationPlaintiffDispose patternLawPolitical scienceComputer scienceLaw and economicsSociology

Abstract

fetched live from OpenAlex

Before Bill 161, Ontario courts rarely heard Rule 20 and Rule 21 motions, also known as dispositive motions, prior to certification of a class action. Among the sweeping changes brought in by Bill 161 was the creation of a presumptive right for parties to bring pre-certification motions to dispose of the proceeding, in whole or in part, or to narrow the issues. Under this new presumptive right, judges shall hear these motions first unless they order them to be heard in conjunction with certification motions. Unfortunately, the legislature did not delineate when it is appropriate for judges to order a conjunctive hearing. We must therefore ask: Under what circumstances should a judge order dispositive pre- certification motions to be heard in conjunction with certification? This paper argues that judges should consider six factors when scheduling a dispositive motion, including the type of motion, the potential impact of the motion, the plaintiff's funding, the type of proposed class proceeding, the benefits of delayed disposition, and whether a pre-certification motion is in the interest of justice. To establish the six factors, this paper reviews caselaw prior to 2020 on the scheduling of pre-certification motions and academic commentary on dispositive motions in both Canada and the United States. It offers a survey of pre-Bill 161 jurisprudence, a discussion of the strengths and weaknesses of dispositive pre-certification motions, and an analysis of the six factors. Ultimately, this paper provides guidance for motions judges on when they should hear dispositive pre-certification motions in conjunction with certification.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.667
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.180
GPT teacher head0.348
Teacher spread0.168 · 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 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
Published2022
Admission routes1
Has abstractyes

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