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Record W2265129828 · doi:10.15173/glj.v7i1.2353

Is Transnational Private Regulation Potentially an Effective Means of Promoting Collective Industrial Relations?

2016· article· en· W2265129828 on OpenAlexvenueno aff
Conor Cradden, Jean‐Christophe Graz

Bibliographic record

VenueGlobal Labour Journal · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal trade, sustainability, and social impact
Canadian institutionsnot available
Fundersnot available
KeywordsIncentiveCollective actionPoliticsIndustrial relationsWork (physics)Economic systemBusinessMarket economyEconomicsPolitical economyPolitical scienceManagementLaw

Abstract

fetched live from OpenAlex

<p>This paper asks whether collective industrial relations can be promoted by means other than seeking change in public policy. Recent research points to the increasing significance of transnational private regulation (TPR) in developing economies. There is an emerging consensus that market incentives to improve wages and conditions of work can have a modest positive effect on measurable outcomes like hours of work, and health and safety. However, it appears that TPR has little impact on the capacity of workers to pursue such improvements for themselves via collective action. The paper takes a closer look at the potential of TPR to enhance worker voice and participation. It argues that this potential cannot be properly evaluated without understanding how local actors mobilise the social and political resources that TPR provides. The case studies presented show how different TPR schemes have been used by unions in Africa as a means to pursue the interests of members. The authors found that the scale of the impact of TPR in all of the contexts studied depended almost entirely on the existing capacities and resources of the unions involved. TPR led to the creation of collective industrial relations processes, or helped unions to ensure that certain enterprises participated in existing industrial relations processes, but did virtually nothing to enhance the political and organisational capacity of the unions to influence the outcomes of those processes in terms of wages and conditions of employment. The paper concludes that the potential of TPR to promote the emergence of collective industrial relations systems is very low.</p>

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.290
Threshold uncertainty score0.585

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.002
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 head0.019
GPT teacher head0.260
Teacher spread0.240 · 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 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

Citations8
Published2016
Admission routes1
Has abstractyes

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