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Record W2576981100 · doi:10.1108/jmh-06-2016-0029

Union recognition and union security

2017· article· en· W2576981100 on OpenAlexaboutno aff
Linda Colley

Bibliographic record

VenueJournal of Management History · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsnot available
FundersQueensland Government
KeywordsContext (archaeology)State (computer science)PoliticsLegislationPolitical scienceValue (mathematics)Political economyPublic administrationEconomicsLaw

Abstract

fetched live from OpenAlex

Purpose Union membership has declined in many countries reducing union capacity to bargain and contribute to economic equality. This paper aims to explore a more hopeful case in an Australian state, where the dramatic anti-union strategies of conservative governments have been reversed by Labor governments. Design/methodology/approach The research frames union recognition and union security in an international context, highlighting differences between US, Canadian, UK and Australian approaches. The research focuses on the Australian state of Queensland, providing an historical account of changes to union recognition and union preference provisions, drawing on legislation, major public service agreements, newspapers and parliamentary transcripts. Findings Conservative governments in Australia have implemented anti-union strategies, and Labor governments have often failed to restore union-friendly provisions when re-elected. In contrast, the Queensland study demonstrates a substantial restoration of union security provisions when Labor governments are re-elected, rebuilding political capital with unions and potentially supporting union membership. This difference is due to unique political and institutional factors that provide governments with unfettered powers to legislate their industrial relations agenda, whether in support or otherwise of unions, and has led to the more distinctive pendulum swings to the right and left than occurred elsewhere in Australia. Originality/value The research contributes to debates about the factors related to declining union membership and highlights a case where unions have achieved restoration of many provisions that increase their influence and potentially their membership.

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)0.008
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.031
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0080.014
Scholarly communication0.0050.003
Open science0.0010.007
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0170.002

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 head0.039
GPT teacher head0.276
Teacher spread0.238 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2017
Admission routes1
Has abstractyes

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