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Record W1749117870 · doi:10.1177/001979390906200203

Institutional Environments, Work and Human Resource Practices, and Unions: Canada versus England

2009· article· en· W1749117870 on OpenAlexaffabout
John Godard

Bibliographic record

VenueIndustrial and Labor Relations Review · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsRepresentation (politics)Work (physics)Telephone surveyPropensity score matchingAdversarial systemPolitical scienceDemographic economicsHuman resourcesHuman resource managementPublic administrationPublic relationsBusinessMedicineLawEconomicsMarketing

Abstract

fetched live from OpenAlex

This analysis of data from a 2003–2004 telephone survey of 750 Canadian and 450 English workers finds that work practices and human resource (HR) practices had important implications for unions. The effects differed by the type of practice (for example, traditional versus “new” HR), and were mediated by each country's institutional environment. For example, traditional personnel/HR practices were strongly positively related to the likelihood of union representation and strongly negatively related to workers' propensity to vote for a union in Canada, but made little difference to either of those union outcomes in England; and “alternative” work practices bore an inverse U-shaped association with union representation in Canada, versus a positive relationship with that outcome in England. In general, the Canadian findings are consistent with an adversarial dynamic, and the English findings with a more collaborative one.

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 score0.027
Threshold uncertainty score0.196

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.010
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.056
GPT teacher head0.310
Teacher spread0.254 · 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

Citations32
Published2009
Admission routes2
Has abstractyes

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