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Record W2118852275 · doi:10.1177/011719681202100302

Transnationalism from Below: Evidence from Vietnam-Taiwan Cross-Border Marriages

2012· article· en· W2118852275 on OpenAlexaff
Danièle Bélanger, Hong‐Zen Wang

Bibliographic record

VenueAsian and Pacific migration journal · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsWestern University
Fundersnot available
KeywordsTransnationalismConceptualizationGender studiesSociologyUrbanizationEconomic geographyPolitical scienceGeographyEconomic growthPoliticsEconomics

Abstract

fetched live from OpenAlex

This paper examines marriage migration in Asia through the lens of transnationalism. We pull together results from various studies we conducted on marriage migration in Vietnam and Taiwan between 2004 and 2010, using both qualitative and quantitative approaches. Our main contention is that marriage migration constitutes a significant vector of social change for both sending and receiving areas of migrants. We examine the gendered aspects of this transformation, since the vast majority of migrant spouses in Asia are women. We use the concept of ‘transnationalism from below’ to frame the social impact of marriage migration. In this paper, we first review activities of marriage migrants and their families that constitute either economic or social transnationalism. In the second part, we discuss how these transnational activities contribute to social change in both societies. In brief, the paper shows the far-reaching significance of this migration flow for the region and aims to move forward the conceptualization of marriage migration in Asia.

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)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0030.002
Scholarly communication0.0020.001
Open science0.0010.003
Research integrity0.0000.001
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 head0.020
GPT teacher head0.350
Teacher spread0.330 · 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 designObservational
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

Citations31
Published2012
Admission routes1
Has abstractyes

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