Infrastructure of mobility: navigating borders, cities and markets
Bibliographic record
Abstract
Abstract In this article, which is based on research conducted in Hong Kong from 2010 to 2013, and again in 2018, I analyse the region‐bound circulation of independent women sex workers from the Philippines across the Asian global cities of Hong Kong, Singapore, Kuala Lumpur, and Macau. Migrating as visa‐free tourists, they maintain a valid immigration status and maximize their income in the informal economy by adopting a step‐down transient mobility pattern characterized by a downward hierarchical circulation to multiple city‐states and country destinations. As I show, their multinational migration is produced and structured through the instrumentalization of a mobility infrastructure constituted by a regime of visa‐free circulation, transportation developments, commercialized migration services, and social networks. In this article, I attempt to extend the contemporary analysis of unauthorized migration by moving away from the prevailing focus on incorporation and settlement and towards an examination of the logics and mechanics of migration flows that occur outside state‐sanctioned channels.
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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 | 0.000 | 0.001 |
| 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 | 0.008 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.000 | 0.001 |
| 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".