Modern slavery in global value chains: A global factory and governance perspective
Bibliographic record
Abstract
‘Modern slavery’ describes various forms of severe relational labour exploitation. In the realm of global value chains and global factories that are led by multinational enterprises, modern slavery encompasses practices such as forced labour and debt bondage. Multinational enterprises organise and orchestrate global value chains into global factories that are highly adaptive to market pressures and changes in the external environment. We employ the global factory framework to conceptualise when and how global value chains become more vulnerable to modern slavery. We argue that combinations of the three global value chain characteristics: complexity, appropriation arrangements, and obligation cascadence, jointly form an environment in which modern slavery can evolve and take root. The degree to which forms of modern slavery become visible and recognisable depends on the particular combination of these characteristics. External factors can moderate the relationship between these factors (e.g. involvement of non-governmental organisations) or exaggerate their effect (e.g. a pandemic).
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.028 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".