MétaCan
Menu
Back to cohort

Agricultural Land, Gender and Kinship in Rural China and Vietnam: A Comparison of Two Villages

2009· article· en· W2120334263 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Agrarian Change · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicVietnamese History and Culture Studies
Canadian institutionsUniversity of OttawaWestern University
Fundersnot available
KeywordsKinshipEntitlement (fair division)ChinaDominance (genetics)GeographyVietnameseLand tenurePosition (finance)SocioeconomicsEconomic growthLivelihoodDevelopment economicsAgriculturePolitical scienceSociologyEconomics

Abstract

fetched live from OpenAlex

This study examines the impact of current land policies in China and Vietnam on women's entitlement to land, women's wellbeing and gender power relations. The ethnographic study of one village in each of the two countries contextualizes women's lives in the kinship and marriage system in which power and gender relations are embedded. Current land policies, when implemented in the existing kinship and marriage system, make women's entitlement to land more vulnerable than men's, limit women's choices and weaken their power position. Variations in kinship rules in the two countries lead to different outcomes. In the Chinese village the dominance of patrilocal marriage and exogamous marriages limits women's access to land, whereas in the Vietnamese village the rigid concentration of inheritance to males puts women in a difficult position. The comparison between communities of rural China and Vietnam reveals the importance of considering gender and kinship when studying the implementation and impact of land policies.

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.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.680
Threshold uncertainty score0.255

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.058
GPT teacher head0.337
Teacher spread0.278 · 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