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Record W4413244037 · doi:10.3138/ccar.v14i2.315

Access to Justice Versus Freedom of Contract: A Comparative Analysis of Canada and us Enforcement of Mandatory Arbitration Agreements and Class Action Waivers

2019· article· en· W4413244037 on OpenAlexaboutno aff
Natasha Rambaran

Bibliographic record

VenueCanadian Class Action Review · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Arbitration and Investment Law
Canadian institutionsnot available
Fundersnot available
KeywordsSupreme courtArbitrationClass actionPlaintiffLawEnforcementPolitical scienceLegislatureCompulsory arbitrationLegislationCivil procedureDispute resolutionEconomic JusticeFreedom of contractBusinessLaw and economicsEconomicsState (computer science)

Abstract

fetched live from OpenAlex

Abstract: Canadian and American courts and legislatures have adopted different approaches to the enforceability of mandatory arbitration clauses and class action waivers. Both jurisdictions face a fundamental question: whether the benefits of including these provisions in contracts of adhesion, such as commercial certainty and freedom of contract, should supersede the right to access the civil justice system on an individual or class-wide basis. This paper will comparatively analyze the law in Canada and the United States surrounding the enforceability of mandatory arbitration clauses and class action waivers. The Canadian approach is inconsistent, as each Canadian province has differing consumer protection legislation. As a result, the Supreme Court of Canada has struggled to establish national consensus. In contrast, the US Supreme Court has consistently upheld the validity and effectiveness of pre-dispute resolution clauses, even if a plaintiff’s costs of individually arbitrating exceed their potential recovery. Ultimately, the US Supreme Court maintains that freedom of contract and party autonomy supersede consumer protections and the right to commence civil proceedings.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.770
Threshold uncertainty score0.923

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.056
GPT teacher head0.305
Teacher spread0.249 · 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 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

Citations0
Published2019
Admission routes1
Has abstractyes

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