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Record W2913154493 · doi:10.3138/jcfs.47.2.267

Adapting to Marriage Markets: International Marriage Migration from Vietnam to South Korea

2016· article· en· W2913154493 on OpenAlexvenueno aff
Hyunok Lee, Lindy Williams, Florio Arguillas

Bibliographic record

VenueJournal of Comparative Family Studies · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsVietnameseMarriage marketRemarriagePolitical scienceMarital statusPopulationCensusDemographic economicsDevelopment economicsEconomic growthSociologyEconomicsDemography

Abstract

fetched live from OpenAlex

International marriage migration, while not an entirely new phenomenon, became numerically important in parts of Asia in the early 2000s. This research examines some of the reasons for the rise in marital unions between Vietnamese women and South Korean men. Using census data, we assess the extent to which partner shortages existed for men in South Korea and for women in Vietnam at the onset of the rise in marriage migration. We then use survey data to identify some of the characteristics of those who have entered international unions. While we identify a substantial marriage squeeze on certain subgroups of Korean men at the time marriage migration was expanding, the same is not true for women in Vietnam, at least at the national level. To help explain what has motivated some women in Vietnam to enter into international marriages, we turn to data from in-depth interviews. We also discuss the roles played by international marriage brokerage agencies and migrant networks in the process. Our analysis suggests that the growth in the international marriage market between South Korea and Vietnam has been spurred by several drivers: (1) demographic, as seen in the marriage squeeze on rural men in Korea, (2) cultural, in terms of the continuing importance of marital hypergamy in both contexts, (3) economic, as an important motivator of Vietnamese marriage migrants, (4) institutional (with the ongoing but perhaps declining importance of marriage brokers), and (5) the growing role of interpersonal networks.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.247
Threshold uncertainty score0.460

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.080
GPT teacher head0.375
Teacher spread0.295 · 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.

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

Citations10
Published2016
Admission routes1
Has abstractyes

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