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Record W2099996689 · doi:10.1017/s174455231000042x

Trade unions, democracy and power

2011· article· en· W2099996689 on OpenAlexaffabout
Judy Fudge

Bibliographic record

VenueInternational Journal of Law in Context · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsTrade unionDemocracySociologyLabour lawIndividualismLiberalismCollective bargainingDeliberative democracyPolitical scienceLawFree tradeLaw and economicsPoliticsPolitical economyEconomicsMarket economy

Abstract

fetched live from OpenAlex

Should the law support union recognition by employers? If so, what form should this legal support take? These are the questions that Alan Bogg addresses in his excellent monograph, The Democratic Aspects of Trade Union Recognition . His focus is New Labour's 1999 statutory recognition procedure for trade unions, which he situates within the historical context of the United Kingdom's distinctive approach to the relationship between labour law and the social practice of collective bargaining – aptly (and famously) named collective laissez-faire by Otto Kahn-Freund (1972). Combining political philosophy and legal analysis, Bogg argues for robust legal support for trade union recognition that preserves the autonomy of trade unions to determine their own constituency and recognises their distinctive power to strike. Inspired by the idea of deliberative democracy and an ethical commitment to freedom as non-domination, he argues that civic republicanism provides the best normative basis for trade union recognition procedures. He contrasts this normative framework with the rights-based individualism and state neutrality characteristic of the liberal approach, which, he argues, is embodied in the United States and Canadian versions of industrial pluralism. Bogg also demonstrates the ‘yawning chasm between New Labour's civic rhetoric and New Labour's liberal legal reform agenda’ (pp. 118–19) when it comes to trade union recognition procedures. He concludes by offering a series of proposals that would enhance union recognition and further the values of freedom as non-domination, democratic participation through deliberative democracy, and community.

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)0.000
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 score0.880
Threshold uncertainty score0.485

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.036
GPT teacher head0.322
Teacher spread0.286 · 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

Citations3
Published2011
Admission routes2
Has abstractyes

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