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Record W396992388

Price-fixing Class Actions: A Canadian Perspective

2004· article· en· W396992388 on OpenAlexaboutno aff
Charles M. Wright, Matthew D. Baer

Bibliographic record

VenueLoyola consumer law review · 2004
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicDispute Resolution and Class Actions
Canadian institutionsnot available
FundersPfizer
KeywordsEconomic JusticeHarmLegislationPrice fixingClass actionClass (philosophy)Political sciencePerspective (graphical)Law and economicsLawBusinessEconomicsComputer scienceState (computer science)Artificial intelligence
DOInot available

Abstract

fetched live from OpenAlex

Prior to the enactment of class proceedings legislation in Canada, there were virtually no price-fixing cases commenced.Prior to 1993, when Ontario's Class Proceedings Act' was proclaimed into force, the complexity and expense associated with pursuing pricefixing litigation had rendered the justice system in Canada largely inaccessible to all but a few select persons harmed by the conspiracies.Without specific class proceedings legislation, it is the authors' belief that Canadians would, like others around the world, have to rely on the U.S. courts to attempt to obtain recourse.Fortunately, Canadian courts have demonstrated that they have the ability to effectively provide justice for their citizens.In Canada, class proceedings provide those victimized by price-fixing conspiracies access to justice in an efficient manner.And, in 1999, the Siskinds firm 2 filed the first of many class actions that focused on price-fixing cartels and the harm they caused to Canadians. 3 Recent attempts to have the rights of international claimants adjudicated in U.S. courts have the potential to provide an alternative and likely beneficial route for Canadians.Given Canada's unique situation, however, parallel proceedings with increased cooperation may be more appropriate.In the meantime, defendants seeking to *

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.988
Threshold uncertainty score1.000

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.004

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 head0.032
GPT teacher head0.275
Teacher spread0.243 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2004
Admission routes1
Has abstractyes

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