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Record W3125754267

How 'Anti-Union' Laws Saved Canadian Labour: Certification and Striker Replacements in Post-War Industrial Relations

2002· article· en· W3125754267 on OpenAlexaboutno aff
John Logan

Bibliographic record

VenueLSE Research Online · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsnot available
Fundersnot available
KeywordsCertificationIntrusivenessCollective bargainingState (computer science)Intervention (counseling)Industrial relationsLabor relationsLabour lawPolitical scienceWorld War IIPublic administrationLawBusinessLabour economicsEconomics
DOInot available

Abstract

fetched live from OpenAlex

This article analyzes the development in Canada of two critical differences between Canadian and U.S. labour policy: union recognition and state regulation of striker replacements. The development of public policy on these issues helps illuminate the fundamental principles of state intervention in post-war labour-management relations. Canadian lawmakers have circumscribed the economic weapons of unions and established stringent certification requirements; but they have also restricted employers’ recruitment of striker replacements and limited management involvement in the certification process. In the post-war decades, unionists attacked the “excessive intrusiveness” of Canadian labour policy and preferred the less intrusive system of state intervention in the U.S. Since the 1970s, however, Canada’s extensive regulation of labour relations has protected workers against market-driven anti-unionism and helped preserve the institutions of collective bargaining.

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)0.003
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.823
Threshold uncertainty score0.955

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0280.010
Scholarly communication0.0070.002
Open science0.0020.003
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0070.000

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 head0.166
GPT teacher head0.377
Teacher spread0.211 · 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 designObservational
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
Published2002
Admission routes1
Has abstractyes

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