Labour Standards in Global Value Chains: Disentangling Workers’ Voice, Vicarious Voice, Power Relations, and Regulation
Bibliographic record
Abstract
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 distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".