Dialogue and Coordination: How Hybrid Models Can Strengthen Labor Standards Enforcement
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article examines the factors that limit and support the capacity of developing states to regulate labor in the public and private spheres, as well as the role of international parties in strengthening that capacity. The purpose is to better understand the potential for a more coordinated approach informed by hybrid models of enforcement, which can contribute to closing regulatory gaps. Fieldwork was carried out in the garment sectors in South Africa and Lesotho during 2018, including 20 semi-structured interviews with industry stakeholders representing government, business, and labor. Findings indicate that the developing state has an important role to play in facilitating a more coordinated approach between systems of enforcement, including public and private enforcement agencies, national development agencies, manufacturers, buyers, and unions. The case studies indicate the potential of such an approach to, for example, improve inspection quality, accountability, and transparency. The state can play an active role in facilitating a hybrid approach to regulation that involves both state and non-state actors, with dialogue and coordination at the core of addressing broader challenges for enforcement.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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 it