Extraterritoriality by Other Means: How Labor Law Sneaks Across Borders, Conquers Minds, and Controls Workplaces Abroad
Bibliographic record
Abstract
This Article challenges the state-centered description of labor law and impoverished view of extraterritoriality. It suggests that transnational flows of technology and capital, goods and services, and ideas and information have brought in their wake changes in political economy and social relations that have transformed regimes of public and workplace governance in all countries. It proposes that the extraterritoriality doctrine operates, if at all, only in the formal sense of not allowing one state to overtly project its law into the territory of another. But extraterritoriality does little to prevent the rules governing employment relations in one country from taking root elsewhere, from shaping foreign labor market norms, institutions, and practices, and from being reproduced, in their original or mutant forms, in foreign systems of labor law. The result is the extraterritorial projection “by other means” of labor law and policy - a form of extraterritoriality that has the potential to enhance as well as undermine labor standards in global enterprises.
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 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 | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.036 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".