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Record W2317135762 · doi:10.5509/201083111

Introduction: Politics of Citizenship and Transnational Gendered Migration in East and Southeast Asia

2010· article· en· W2317135762 on OpenAlexvenueno aff
Apichai W. Shipper

Bibliographic record

VenuePacific Affairs · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsnot available
Fundersnot available
KeywordsCitizenshipPoliticsPolitical scienceSoutheast asiaEast AsiaGender studiesGeographyDevelopment economicsEthnologySociologyChinaEconomicsLaw

Abstract

fetched live from OpenAlex

Even in this age of globalization when people, ideas and goods readily move across national borders on an unprecedented scale, political rhetoric in support of prevailing notions of the static boundaries of citizenship remain pervasive. In particular, the increasing frequency, intensity and scale of transnational migrations?combined with innovations in transportation and communications technologies?have generated new challenges to the concept of citizenship. In the twenty-first century, it is crucial to understand the transnational and increasingly fluid definitions of collective consciousness and individual identity that cannot be understood in the context of existing conceptions of race and territorially bounded political community. Political communities across nations and historical epochs have included or excluded groups according to different and often shifting criteria. Treating citizenship and a sense of belonging as unfixed and subjected to changes over time, this special issue examines the politics of citizenship in selected East and Southeast Asian countries in the ages of transnational gendered migration. The special issue explores how transnational gendered?including both female and male?migration has affected citizenship or a sense of belonging from interdisciplinary and comparative perspectives. Transnational gendered migration poses a challenge to the notion of citizenship and has been an important instigator of legal and social reforms.2 Japan, South Korea, the

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.003
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.001

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.

Opus teacher head0.021
GPT teacher head0.246
Teacher spread0.225 · 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 designNot applicable
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

Citations25
Published2010
Admission routes1
Has abstractyes

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