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Record W3043079911 · doi:10.7202/1070352ar

Newcomers as Potential Drivers of Union Revitalization: Survey Evidence from Belgium

2020· article· en· W3043079911 on OpenAlexvenueno aff
Kurt Vandaele

Bibliographic record

VenueRelations industrielles · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsnot available
Fundersnot available
KeywordsInstrumentalismIdeologyLoyaltyPolitical sciencePublic relationsSocial psychologyPsychologyLawPolitics

Abstract

fetched live from OpenAlex

Most people tend to join mainstream trade unions for instrumental motives and not so much for ideological reasons. This instrumentalism, together with the passivity of most union members, endangers members’ union loyalty and their willingness to act collectively. One possible way to de-emphasize the traditional model of service-oriented unionism and strengthen union commitment is to involve members in small union tasks. By partially assigning day-to-day union work to lay members, it is believed that over-stretched union representatives will be able to assign more time to implementing union policies of strategic importance. The article examines to what extent new union members are willing to voluntarily engage in union tasks inspired by organizing unionism. To test this empirically, an e-survey was conducted among first-time members of a Belgian union. Predominantly young, the respondents had been members of the union for maximum of seven years. Belgium is an interesting case for exploring how member-union ties can be boosted, as it is a quintessential example of a country with a high union density characterized by instrumental and passive membership. Following the deletion of cases with missing data, 518 observations are available for analysis. The dependent variable measures the organizing-oriented activism intent based on union tasks reflecting one-on-one organizing tactics for reaching out to potential members. A critical mass of 41.3% new members is (greatly) interested in at least one task. The regression results show that two variables derived from the planned behaviour theory significantly influence organizing-based union tasks: the pro-union context and behavioural self-control, with the latter in particular a very strong antecedent. Apart from the finding that a larger membership base is interested in performing organizing-oriented tasks, the results also, support a developmental view on union activism, i.e. a step-by-step approach to stimulating union activism via introducing various levels of union participation.

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)0.005
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.086
Threshold uncertainty score0.170

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.064
GPT teacher head0.304
Teacher spread0.240 · 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

Citations4
Published2020
Admission routes1
Has abstractyes

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