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Record W2912165515 · doi:10.25071/1705-1436.159

Solidarity Forever? An Analysis of Changes in Union Density

2004· article· en· W2912165515 on OpenAlexvenueaboutno aff
Andrew Jackson, Sylvain Schetagne

Bibliographic record

VenueJust Labour · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsnot available
Fundersnot available
KeywordsUnion densityDeindustrializationDemographic economicsPrivate sectorPublic sectorPolitical scienceEconomic historyGeographyEconomic growthLabour economicsEconomicsEconomyCollective bargaining

Abstract

fetched live from OpenAlex

Originally prepared to provide background information and analysis for a Canadian Labour Congress conference on rebuilding unions in the Fall of 2003, this article maps trends in union density i.e., the proportion of workers covered by a collective agreement. It provides a short overview of the period since the mid 1980s, and a much more detailed analysis of the period from 1997 to 2002 for which detailed data from Statistics Canada's Labour Force Survey are available. Union density has trended down in the private sector to below 20% more because of a density decline among male blue collar workers than because of deindustrialization per se. Union density has remained high in public and social services, including outside the direct public sector, and this mainly explains why union density has held up much better among women than men. Union density is low, but relatively stable, in private consumer and business services. Density has fallen proportionately less in the higher union density provinces, particularly Quebec, and has fallen to well below average levels among private sector workers in the fastest growing provinces of Ontario and Alberta.

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)0.008
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 score0.295
Threshold uncertainty score0.587

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.006
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0000.001
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 head0.027
GPT teacher head0.322
Teacher spread0.295 · 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

Citations10
Published2004
Admission routes2
Has abstractyes

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