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Record W7000773892

The Futility of Mandatory Arbitration Clauses in Canada: Putting the Last Nail in the Coffin

2021· article· en· W7000773892 on OpenAlexaboutno aff

Bibliographic record

VenueeYLS (Yale Law School) · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Economy and Work Transformation
Canadian institutionsnot available
Fundersnot available
KeywordsStatutory lawArbitrationEnforcementSupreme courtLegislationUnconscionabilityArgument (complex analysis)Compulsory arbitrationSupreme Court Decisions
DOInot available

Abstract

fetched live from OpenAlex

At issue in the Supreme Court of Canada's recent decision in Uber Technologies was the ability of platform operators to rely on mandatory arbitration clauses in their contracts with platform workers to avoid judicial enforcement of statutory employment rights -in this case, the Ontario Employment Standards Act. The Supreme Court agreed that the clause in question was unconscionable and therefore invalid, but declined to comment on whether it was, in addition, an illegal contracting-out of the Act's provisions. However, the Court's ruling does little to resolve the larger question of what legal space exists for mandatory arbitration clauses in employment contracts. This paper discusses why such clauses are, by and large, an exercise in futility, and cannot achieve their ostensible purpose of barring access to remedies for violations of statutory employment rights. The author builds on this argument to suggest that there is an underlying principle of public policy that precludes contracting-out of public enforcement mechanisms for protective employment laws in the absence of specific statutory authorization. Examples include the remedial regimes for workers' compensation and human rights claims. It follows that a prohibition against contracting-out of employment standards legislation simply instantiates the broader principle that private agreements cannot lawfully deny access to an administrative remedy to vindicate statutory employment rights. The author urges that what is already implicit in Canadian employment law be made explicit.

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)0.002
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 score0.808
Threshold uncertainty score0.434

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.014
GPT teacher head0.240
Teacher spread0.225 · 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
Published2021
Admission routes1
Has abstractyes

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