After the Foxconn Suicides in China: A Roundtable on Labor, the State and Civil Society in Global Electronics
Bibliographic record
Abstract
We seek to tackle myriad problems of a global production system in which China is the world’s largest producer and exporter of consumer electronics products. Dying for an iPhone simultaneously addresses the challenges facing Chinese workers while locating them within the global economy through an assessment of the relationship between Foxconn (the largest electronics manufacturer) and Apple (one of the richest corporations). Eight researchers from Asia, Europe and North America discuss two main questions: How do tech behemoths and the Chinese state shape labor relations in transnational manufacturing? What roles can workers, public sector buyers, non-governmental organizations and consumers play in holding multinational corporations and states accountable for human rights violations and assuring the protection of worker interests? We also reflect on the possibility that national governments, the electronics industry and civil society groups can collaborate to contribute to improved labor rights in China and the world.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.015 | 0.013 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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".