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Record W2970235714 · doi:10.1177/0117196819869060

“We no longer fear brides from afar”: Marriage markets and gendered mobilities in rural Vietnam

2019· article· en· W2970235714 on OpenAlexaff
Danièle Bélanger, Guillaume Haemmerli

Bibliographic record

VenueAsian and Pacific migration journal · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsInternal migrationWifeArranged MarriageGender studiesEthnographyMarriage marketVietnameseSociologyMobilitiesDiversification (marketing strategy)Demographic economicsPolitical sciencePopulationEconomicsDemographyLaw

Abstract

fetched live from OpenAlex

Since the late 1990s, Vietnamese women’s participation in international marriage migration has garnered academic and media attention. In contrast, internal marriage migration, a key driver of overall internal migration flows, has received scant consideration. In this paper, we examine marriage and migration dynamics in four rural communes that have “lost” significant numbers of their single women to international marriage and gained brides through internal migration. Based on ethnographic fieldwork conducted in 2012 and 2013 in four villages and analysis of local marriage registration data and census data, this article examines internal and international marriage migration. We probed marriage migration vis-a-vis marriage markets, internal labor migration and gendered mobility patterns. The increased diversification of marriage with respect to spousal places of origin indicates a reconfiguration of marital norms and practices and changing social constructions of a desirable wife and daughter-in-law. Results underscore the role of labor migration and interprovincial networks in expanding mate-seeking circles among rural youth and in altering marital norms. Female international marriage migration is one piece of a larger puzzle whereby various forms of mobility are intertwined with changes in the realms of gender, family and marriage.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.196
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0020.000

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 head0.008
GPT teacher head0.238
Teacher spread0.229 · 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 teacher head, not a consensus.

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

Citations7
Published2019
Admission routes1
Has abstractyes

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