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Record W3117342513 · doi:10.1177/0143831x20980059

Demobilised or dormant? Exploring pro-strike attitudes among employees who have never joined a strike

2020· article· en· W3117342513 on OpenAlexaff
Lorenzo Frangi, Muhammad Umar Boodoo, Robert Hebdon

Bibliographic record

VenueEconomic and Industrial Democracy · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsMcGill UniversityUniversité du Québec à Montréal
Fundersnot available
KeywordsCollective bargainingPoliticsPolitical scienceIndustrial relationsCivil libertiesLabour economicsEconomicsLaw

Abstract

fetched live from OpenAlex

The general decline of strikes does not necessarily imply that workers are demobilised. A dormant strike potential can be present. Drawing on strikes as ‘experience goods’, this article sheds light on this point by studying pro-strike attitudes among employees in 24 countries who have never been on strike. The variation in pro-strike attitudes is explained by both contextual (collective bargaining coverage, economic conditions and freedom of rights and liberties) and individual (union membership and confidence in unions, political values and household financial situation) factors. Deeper analyses of three countries highlight the potential impact of specific repertoires of contention developed over time on the formation of pro-strike attitudes. Implications for the labour conflict literature and union strategies are discussed.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.592
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.131
GPT teacher head0.302
Teacher spread0.171 · 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.

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
Published2020
Admission routes1
Has abstractyes

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