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Record W2906252334

Competition and the Retreat from Collective Bargaining, NIESR Discussion Paper No. 318

2008· article· en· W2906252334 on OpenAlexaboutno aff
William Brown, A. Bryson, John Forth

Bibliographic record

VenueWestminsterResearch (University of Westminster) · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsnot available
Fundersnot available
KeywordsCollective bargainingCompetition (biology)CollectivismMarket economyArgument (complex analysis)EconomicsProfitability indexSettlement (finance)Product marketProduct (mathematics)Quarter (Canadian coin)Private sectorLabour economicsIndividualismIncentiveEconomic growth
DOInot available

Abstract

fetched live from OpenAlex

For most of the twentieth century, collective bargaining provided the terms on which labour was commonly employed in Britain. However, the quarter century since 1980\nhas seen the collapse of collectivism as the main way of regulating employment. Our argument is that the tacit settlement between organized labour and employers was undermined by increasing product market competition. The paper first provides an overview of the changing map of collective bargaining, focusing on the private sector.\nIt then moves on to ask why the retreat took place, and to explore the part played by product market competition and, in particular, by the profitability of different\nindustries. The paper concludes with an analysis of the consequences of privatisation.

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)0.007
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.027
Threshold uncertainty score0.104

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0090.009
Scholarly communication0.0080.008
Open science0.0010.004
Research integrity0.0120.005
Insufficient payload (model declined to judge)0.0220.001

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 head0.024
GPT teacher head0.253
Teacher spread0.229 · 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
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

Citations7
Published2008
Admission routes1
Has abstractyes

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