MétaCan
Menu
Back to cohort
Record W1966135219 · doi:10.1177/097152150501200202

Marriage Migration in China

2005· article· en· W1966135219 on OpenAlexaboutno aff
Delia Davin

Bibliographic record

VenueIndian Journal of Gender Studies · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsChinaHierarchyUrbanizationInternal migrationOrder (exchange)PovertyQuarter (Canadian coin)PhenomenonDevelopment economicsDemographic economicsGeographyEconomic growthPolitical scienceDeveloping countryEconomics

Abstract

fetched live from OpenAlex

This article shows that marriage migration is an important form of migration for women in contemporary China, accounting for between a quarter and a third of all female migration, and for over half the female migration from the poorer provinces. Uneven development and greatly improved communications have both contributed to the development of marriage migration as a significant phenomenon in post-reform China. Sometimes women themselves use marriage to escape poverty-stricken homes and to move up through the spatial hierarchy to more prosperous areas. In other cases their families arrange marriages for them in more developed places, even if these are very far away, in order to take advantage of the higher bride price prevalent in wealthier communities. Agents make money by effecting introductions and moving women physically, sometimes over thousands of miles. While doubtless some such marriages are advantageous for all parties, they often have adverse effects both for the vulnerable women involved and for the poorer areas, which suffer a net loss of women to the richer coastal areas.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.464
Threshold uncertainty score0.966

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)0.0000.000

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 head0.037
GPT teacher head0.341
Teacher spread0.304 · 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

Citations53
Published2005
Admission routes1
Has abstractyes

Explore more

Same venueIndian Journal of Gender StudiesSame topicMigration and Labor DynamicsFrench-language works237,207