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Record W3107373078 · doi:10.1111/glob.12308

Infrastructure of mobility: navigating borders, cities and markets

2020· article· en· W3107373078 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueGlobal Networks · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicSocioeconomic Development in Asia
Canadian institutionsMcGill University
Fundersnot available
KeywordsCirculation (fluid dynamics)DestinationsImmigrationMultinational corporationGlobal cityEconomic geographySettlement (finance)GeographyState (computer science)EconomyPolitical scienceBusinessEconomicsTourismEngineeringFinance

Abstract

fetched live from OpenAlex

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.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.187
Threshold uncertainty score0.365

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.009
GPT teacher head0.282
Teacher spread0.273 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it