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Record W2049892658 · doi:10.15173/glj.v6i1.2437

Social Unionism, Public Relations, and Support for Unions: A Case Study of Public Opinion in Saskatchewan, Canada

2015· article· en· W2049892658 on OpenAlexaffvenueabout
Dave McGrane, Loleen Berdahl

Bibliographic record

VenueGlobal Labour Journal · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsAppealPublic opinionWorkforcePolitical scienceTelephone surveyGeneral Social SurveyPublic relationsPublic administrationPolitical economySociologyBusinessLawSocial sciencePolitics

Abstract

fetched live from OpenAlex

Academic research on public attitudes towards unions in Canadian provinces is virtually non-existent. Using quantitative evidence from a Saskatchewan telephone survey, we demonstrate that public attitudes towards unions are more positive when the labour movement is perceived to be working for the betterment of all society and more negative when unions are perceived to be pursuing the narrow interests of their own members. Surprisingly, even though residents who are outside of the workforce receive no direct benefits from unions, they display more supportive attitudes toward unions than the employed. Two implications for the concept of Canadian social unionism flow from these findings. First, to the extent that Canadian social unionism stipulates that union activity benefits all of society, it is a good public relations strategy. Second, Canadian social unionism can become a way for the labour movement to appeal to the non-employed (retirees, students, full-time caregivers, and the unemployed) who are predisposed to be supportive of union struggles.

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)0.002
metaresearch head score (Gemma)0.004
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 score0.123
Threshold uncertainty score0.891

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.007
Science and technology studies0.0230.005
Scholarly communication0.0040.001
Open science0.0020.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.062
GPT teacher head0.346
Teacher spread0.284 · 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

Citations2
Published2015
Admission routes3
Has abstractyes

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