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Record W1494523486

Defendant Class Actions and the Right to Opt Out: Lessons for Canada from the United States

2004· article· en· W1494523486 on OpenAlexaboutno aff
Vince Morabito

Bibliographic record

VenueDuke journal of comparative & international law · 2004
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicDispute Resolution and Class Actions
Canadian institutionsnot available
Fundersnot available
KeywordsClass actionClass (philosophy)Opt-outPolitical scienceLawAction (physics)CertificationOpt-in emailState (computer science)BusinessComputer securityComputer science
DOInot available

Abstract

fetched live from OpenAlex

The recently introduced class action regime in the Federal Court of Canada which-unlike the class action regimes in Quebec, British Columbia, Manitoba, Saskatchewan, Newfoundland and Labrador and Alberta-authorizes the certification of defendant class actions renders a study of defendant class actions desirable.The aim of this article is to explore the most important issue concerning the operation of defendant class actions, namely, whether any restrictions should be placed upon the ability of members of a defendant class to exclude themselves from the class, that is, to opt out.

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)0.006
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation 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: Empirical
Teacher disagreement score0.144
Threshold uncertainty score0.992

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.021
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.004
Science and technology studies0.0380.018
Scholarly communication0.0160.005
Open science0.0040.005
Research integrity0.0110.015
Insufficient payload (model declined to judge)0.0130.001

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 head0.044
GPT teacher head0.306
Teacher spread0.262 · 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 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

Citations3
Published2004
Admission routes1
Has abstractyes

Explore more

Same venueDuke journal of comparative & international lawSame topicDispute Resolution and Class ActionsFrench-language works237,207