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Record W2025409449 · doi:10.1080/14650040601168917

Unequal Borders: Indonesian Transnational Migrants at Immigration Control

2007· article· en· W2025409449 on OpenAlexaff
Rachel Silvey

Bibliographic record

VenueGeopolitics · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicSocioeconomic Development in Asia
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsIndonesianImmigrationRepatriationContext (archaeology)State (computer science)PoliticsTerminal (telecommunication)RefugeeGovernment (linguistics)SociologyMigrant workersDeportationPolitical scienceEconomic growthLawGeographyEconomicsEngineering

Abstract

fetched live from OpenAlex

This article analyses the Indonesian state's efforts to manage returning overseas migrant labourers. It examines state practices in the airport terminal for returning transnational migrant labourers (“Terminal 3”) in Jakarta. “Terminal 3” segregates returning overseas migrant contract workers, separating them out from the other travelers who pass through the “regular” terminal to enter into Indonesia. The article explores the spatial politics of the terminal through interviews with government officials and observations made at the airport terminal. Located in the context of long-term research on Indonesian migration, the case study illustrates specific ways in which the Indonesian state, through its selective and irregular application of regulatory procedures at the point of immigration, reproduces social inequalities through the repatriation process. In addition, it demonstrates the place-based nature of efforts to govern the transnational labouring class.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.012
Scholarly communication0.0060.003
Open science0.0000.008
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.013
GPT teacher head0.313
Teacher spread0.300 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations63
Published2007
Admission routes1
Has abstractyes

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