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Record W2518921952 · doi:10.1177/2158244016667312

The Pitfalls of Embracing Minority Unionism

2016· article· en· W2518921952 on OpenAlexaffabout
Brad Walchuk

Bibliographic record

VenueSAGE Open · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsBrock University
Fundersnot available
KeywordsCorollarySupreme courtSolidarityPolitical scienceLawLaw and economicsWork (physics)SociologyPolitics

Abstract

fetched live from OpenAlex

In a series of recent cases involving the right to bargain collectively, the Supreme Court of Canada asserted that Wagner Act model, or a model of unionism which is both exclusive and majoritarian, need not be the only model available to workers in Canada (as is currently the case). Although the possible move away from Wagner Act unionism toward some form of minority unionism has received some support, this article argues that there are far too many dangers associated with minority unionism, namely, that it will be a corollary for right-to-work laws, will cause infighting between unions, and will divide and fragment workers’ sense of solidarity, and that the supposed benefits that may be attained through constitutionally protected minority unionism can, and should, be attained without it.

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)0.030
metaresearch head score (Gemma)0.037
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.039
Threshold uncertainty score0.158

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0300.037
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0160.058
Scholarly communication0.0110.010
Open science0.0030.013
Research integrity0.0090.017
Insufficient payload (model declined to judge)0.0030.001

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 head0.023
GPT teacher head0.323
Teacher spread0.301 · 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 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

Citations3
Published2016
Admission routes2
Has abstractyes

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