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Record W2120272835

Replacing Inadequate Class Representatives in Federal Class Actions: Quo Vadis?

2015· article· en· W2120272835 on OpenAlexaboutno aff
Vince Morabito

Bibliographic record

VenueSSRN Electronic Journal · 2015
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicDispute Resolution and Class Actions
Canadian institutionsnot available
Fundersnot available
KeywordsClass actionSupreme courtClass (philosophy)Political scienceRedressLawCivil procedureState (computer science)Computer science
DOInot available

Abstract

fetched live from OpenAlex

In Canada and the United States, the ability to bring a class action is dependent on establishing to the satisfaction of the court that, among other things, the aspiring class representatives will fairly and adequately represent the interests of the class members. No such requirement is imposed on class representatives in Australia by the regimes that authorise and govern class actions in the Federal Court of Australia, the Supreme Court of Victoria and the Supreme Court of New South Wales. But trial judges presiding over class action litigation are expressly empowered to order the substitution of a class representative with another class member where, following the filing of an application by one or more class members, they make the finding that the class representative is not able adequately to represent the interests of the class members. Despite the unique nature of the mechanisms that operate in Australia to regulate the adequacy of the representation of the interests of absent class members provided by class representatives and the importance of this dimension of class action litigation, the operation of these mechanisms has not been the subject of critical analysis. The aim of this article is to redress this significant lacuna in the jurisprudence on Australian class actions by employing the data and findings that have emerged from the author’s empirical study of federal class actions to provide a critical evaluation of the operation, during its first 22 years, of the federal mechanism for replacing inadequate class representatives.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.037
metaresearch head score (Gemma)0.082
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.066
Threshold uncertainty score0.193

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0370.082
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0110.019
Scholarly communication0.0100.011
Open science0.0020.005
Research integrity0.0070.007
Insufficient payload (model declined to judge)0.0030.000

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 head0.038
GPT teacher head0.291
Teacher spread0.253 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations2
Published2015
Admission routes1
Has abstractyes

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Same venueSSRN Electronic JournalSame topicDispute Resolution and Class ActionsFrench-language works237,207