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Record W1580599765

The Constitutional Right to Bargain Collectively: The Ironies of Labour History in the Supreme Court of Canada

2008· article· en· W1580599765 on OpenAlexaffabout
Eric Tucker

Bibliographic record

VenueeYLS (Yale Law School) · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsYork University
Fundersnot available
KeywordsSupreme courtLawPolitical scienceFreedom of associationCollective bargainingLabour lawConstitutional rightCharterLaw and economicsSociologyHuman rights
DOInot available

Abstract

fetched live from OpenAlex

In June 2007 the Supreme Court of Canada held that the right to collective bargaining is a constitutionally protected under the Charter of Rights and Freedoms' guarantee of freedom of association. In so doing, they overruled a twenty-year old line of precedent that had rejected that very proposition. The court rested its current position of four grounds, one of which was that Canadian labour history supports the view that collective bargaining had become recognized as a fundamental right prior to the Charter. This article critically reviews the court's labour history and argues that it erroneously asserts that workers enjoyed a right to bargain that entailed a correlative duty on employers to negotiate in good faith prior to the passage of modern collective bargaining legislation during and in the aftermath of World War II. As well, it criticizes the court's method of selectively extracting passages from the work of labour historians while ignoring the critical insights their work provides. This enables the court to construct a highly romanticized and unrealistic story of the steady progress of labour law from repression to toleration to recognition, and to ignore weaknesses of the current regime of industrial legality, a thin version of which its decision protects. Finally, the paper considers the conditions for and implications of the court's ironic emergence as the defender of workers' collective rights against encroachments by the state at the turn of the twenty-first century.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.925
Threshold uncertainty score0.951

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.236
Teacher spread0.221 · 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 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

Citations14
Published2008
Admission routes2
Has abstractyes

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