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Record W4226111285 · doi:10.1177/00207152221086876

Post-industrial capitalism and trade union decline in affluent democracies

2021· article· en· W4226111285 on OpenAlexvenueno aff
Christopher Kollmeyer

Bibliographic record

VenueInternational Journal of Comparative Sociology · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsnot available
Fundersnot available
KeywordsDeindustrializationCapitalismEconomicsArgument (complex analysis)Counterfactual thinkingSolidarityLabour economicsScholarshipTrade unionUnion densityPanel dataIndustrial relationsPopulationDemographic economicsEconomySociologyCollective bargainingPolitical scienceEconomic growthPolitics

Abstract

fetched live from OpenAlex

This study examines trade union decline in light of concurrent changes in the demographic and sectoral composition of labor markets. Drawing on classical sociology and contemporary scholarship on work and employment, the author theorizes that the emergence of post-industrial work settings coupled with more socially diverse workforces make labor organizing more difficult than prior research recognizes. Operating through various mechanisms, these factors are thought to hinder the development of solidarity among workers and direct employment growth toward previously unorganized parts of the economy. Using panel data on 18 countries from 1960 to 2015, these ideas are tested with regression models that capture labor market changes indicative of post-industrial capitalism—measured by changes in deindustrialization, foreign-born population, and female share of employment. The results support the theoretical argument, with counterfactual estimates suggesting that labor market changes occurring between 1960 and 2015 reduced union density by 9 to 13 points for the whole sample.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.780
Threshold uncertainty score0.221

Codex and Gemma teacher scores by category

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

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 head0.057
GPT teacher head0.381
Teacher spread0.324 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations14
Published2021
Admission routes1
Has abstractyes

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