MétaCan
Menu
Back to cohort
Record W2025134012 · doi:10.5539/ass.v6n1p132

Land Holding Changes and Kinh and Khmer Farmers' Livelihoods in Thoi Thuan B Hamlet, Thoi Lai Town, Co Do District, Can Tho City, Vietnam

2009· article· en· W2025134012 on OpenAlexvenueno aff
Nguyen Quang Tuyen

Bibliographic record

VenueAsian Social Science · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicHIV, TB, and STIs Epidemiology
Canadian institutionsnot available
FundersStyrelsen för Internationellt Utvecklingssamarbete
KeywordsLivelihoodLand tenureBusinessVietnameseLand reformLeasehold estateAgricultural landLand grabbingAgricultureAgricultural economicsEconomicsEconomic growthGeographyPolitical scienceLaw

Abstract

fetched live from OpenAlex

Prior to 1975 the Saigon regime in Vietnam implemented land reforms in the form of private property rights. After 1975, land reform based on an egalitarian approach to land distribution for every household member eliminated both large scale land holdings and landless people. However, land redistribution and the establishment of agricultural cooperatives in South Vietnam was not as effective as the Government would have liked. It is said that methodological shortcomings and the inexperience of the State in implementing agrarian transformation led to the failure of this reform. Since the introduction of the 1993 Land Law and neo-liberalist policies, land has effectively become a commodity distributed through market mechanisms. Therefore, land can now be bought and sold by and to anybody. Commoditization of the land has increased the gap between the rich and the poor. In fact, the neo-liberalist ideology focuses on effectiveness and efficiency but not social security, because the Land Law reforms have introduced competitive power relations and an insecurity of land tenure. Some poor farmers do not have enough capital to invest effectively in agricultural production, leading to the sale of their land and them becoming landless. Therefore, in order to survive, wealthy, medium and poor farmers, as well as landless people, have had to diversify their livelihoods through a combination of on-farm, off-farm and non-farm activities.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.533
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.002
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 head0.032
GPT teacher head0.350
Teacher spread0.317 · 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 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

Citations4
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueAsian Social ScienceSame topicHIV, TB, and STIs EpidemiologyFrench-language works237,207