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Record W2978927328 · doi:10.29173/alr2565

The Devil is in the Scale: Revisiting the Commonality Requirement in Charter Class Actions

2019· article· en· W2978927328 on OpenAlexaffvenue
Iryna Ponomarenko

Bibliographic record

VenueAlberta Law Review · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicLegal principles and applications
Canadian institutionsAtomic Energy (Canada)University of British Columbia
Fundersnot available
KeywordsClass actionCharterNormativeLaw and economicsNarrativeSociologyLawComplementarity (molecular biology)Class (philosophy)RedressPolitical scienceEpistemologyComputer science

Abstract

fetched live from OpenAlex

Even a cursory look at the literature reveals scant agreement among experts on the future of Charter class actions. In no small part, this uncertainty can be attributed to the divergent views among the courts concerning the proper contours of the commonality threshold for aggregate Charter proceedings. While the doctrinal narrative of Thorburn suggests that Charter rights are individual in nature and, thus, are not easily amenable to collective redress, the counter-narrative delivered by Good posits that in order for a Charter class action to pass the commonality hurdle of certification “it does not have to resolve all issues that may exist in terms of establishing liability.” Although it is easy to see Thorburn and Good as thesis and antithesis, the subsequent Charter class actions such as Murray can hardly be portrayed as a synthesis. Hence, uncertainty over the commonality standard reigns.
 Taking these observations as its guiding thread, this article makes a case for revisiting the commonality requirement in Charter class actions and argues that “over-individualization” of Charter rights that has been imputed into the analysis by Thorburn is unjustified on both descriptive and normative levels. Descriptively, such “over-individualization” is misguided because it semantically overpowers the analysis which, if properly conducted, would often reveal either no need for individual fact-finding at all or the possibility to follow the resolution of common issues with individual mini-trials. Normatively, overreliance on individualized inquiries as part of the commonality analysis is misguided because it misconstrues the very nature of the class action regime.

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)0.003
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 score0.991
Threshold uncertainty score0.978

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.062
GPT teacher head0.373
Teacher spread0.311 · 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

Citations1
Published2019
Admission routes2
Has abstractyes

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