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Record W2585871194 · doi:10.7202/1038530ar

Labour Standards in Global Value Chains: Disentangling Workers’ Voice, Vicarious Voice, Power Relations, and Regulation

2017· article· en· W2585871194 on OpenAlexvenueno aff
Emmanuel Josserand, Sarah Kaine

Bibliographic record

VenueRelations industrielles · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal trade, sustainability, and social impact
Canadian institutionsnot available
Fundersnot available
KeywordsMultinational corporationCLARITYSupply chainValue (mathematics)IncentiveBusinessIndustrial organizationEconomicsMarketingMicroeconomicsComputer science

Abstract

fetched live from OpenAlex

Theoretical developments and case studies have started to explore the complexity and intricacies of new forms of labour regulation in Global Value Chains (GVCs). This paper builds on these to integrate what we know into a coherent framework that can guide practice and future research. We bring together existing knowledge on new forms of labour standards regulation—such as Private Social Standards (PSSs) and International Framework Agreements (IFAs)—into a framework that integrates and disentangles the contextual determinants, processes, regulatory mechanisms, and outcomes of such regulation in GVCs. Of special significance is the distinction between regulatory processes—vicarious voice, workers’ voice, coordinated international campaigns—, and regulatory mechanisms—IFAs and PSSs. Extant literature tends to deal with existing forms of regulation without much clarity on their respective roles. Our framework identifies two pathways from regulatory processes to regulatory mechanisms: the labour power and the customer power pathways. Our framework also establishes clear connections between concepts, underlining links of causality and moderating effects. We explore the impact of value chain structure, and specifically, the connections between workers’ and vicarious voice, on regulatory outcomes. With regard to the structure of supply chains, we examine the coupling of operations and the sensitivity of value chain participants to reputational risk and drive within value chains. We add the significant dimension of ‘internal drive’ to existing understandings of drive to capture the possible internal discrepancies leading managers in multinational companies (MNCs) to apply mixed incentives to their suppliers to comply with labour standards. Additionally, we introduce the concept of ‘vicarious voice’, which we define as a situation where workers’ voice is substituted by that of actors who, unlike local unions or activist unionism, do not have a close representative link with workers. Vicarious voice may be composed of ethical consumerism, social advocacy, and international union federations.

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)0.014
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0040.037
Scholarly communication0.0090.008
Open science0.0010.008
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.015
GPT teacher head0.276
Teacher spread0.260 · 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 designQualitative
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

Citations16
Published2017
Admission routes1
Has abstractyes

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