The "Other" Side of Globalization: The Legal Regulation of Cross-Border Movements
Bibliographic record
Abstract
The current moment of globalization is witnessing an extraordinary movement of people legitimate and illegitimate across national and international borders. These movements are exposing the porosity of borders the transnational reality of subaltern existence and the contingent foundations of international law. And this global movement of people has created a panic across borders a panic which is manifesting itself in the strengthening of border controls tightening of immigration laws and casting of the Other as a threat to the security of the (First World) nation-state. In this essay I discuss how the issue of cross-border movements is being displaced onto a first world/third world divide designed to keep the Rest away from the West and premised on liberal exclusions and understandings of difference. I also examine how laws encounter with these constitutive Others quite specifically the transnational subaltern subject disrupts and disturbs the universalist premise of international law. (excerpt)
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.013 | 0.071 |
| Scholarly communication | 0.017 | 0.006 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.004 | 0.005 |
| 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".