Transnational Labour Governance: A Critical Review of Proposals for Linkage through the Lens of the Rana Plaza Collapse in Bangladesh
Bibliographic record
Abstract
Abstract Exploitative working conditions in the factories of developing countries like Bangladesh have fueled scholarly arguments for linking labour governance through trade/economic cooperation agreements/arrangements. This article argues that despite rich theoretical analyses of the structural form of these trade/economic-labour linkage mechanisms, less attention has been paid to the conceptualizations of “the social,” which tend to be narrow. These conceptualizations yield a restrictive approach to labour governance, maintaining a sharp difference between fundamental and redistributive approaches to transnational labour law. This approach may focus only on workers engaged in exporting sectors; defend individualized, civil, and political rights; weaken the participation of non-state actors in factory monitoring; and accentuate voluntary forms of corporate responsibility. Referring to some of the challenges in the transnational governance mechanisms launched after the collapse of Rana Plaza, this article argues that it is necessary to consider the aggregate effects of labour deregulation and the distributional problems of labour.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.013 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".