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Record W1711654796 · doi:10.1111/dech.12001

Agricultural Modernization and Climate Change in Vietnam's Post‐Socialist Transition

2013· article· en· W1711654796 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

VenueDevelopment and Change · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicVietnamese History and Culture Studies
Canadian institutionsUniversity of OttawaUniversité de Montréal
Fundersnot available
KeywordsModernization theoryPovertyContext (archaeology)Economic systemAgricultureVietnameseClimate changePolitical economyEconomicsPolitical scienceDevelopment economicsEconomic growthGeography

Abstract

fetched live from OpenAlex

ABSTRACT This article presents a critique of Vietnam's agricultural modernization in the context of its post‐socialist transition and the emerging climate crisis. Agricultural modernization has led to impressive rates of wealth creation that have pulled many Vietnamese out of poverty and food insecurity over the past two decades. However, the model's own logic of accumulation has also made the country increasingly reliant on complex processes and has locked in various technological path dependencies. These include energy‐ and input‐intensive production, engineered landscapes, reduced agro‐biodiversity, and weakened social networks, knowledge and skills. As a result, Vietnam is becoming more sensitive and less able to adapt to structural shocks, notably that of climate change. Furthermore, and crucially, the post‐socialist transition since the launch of Đổ i mới (market reform) has given rise to a political economy with dominant interests increasingly vested in the continuity of this modernization model. The article argues that it is this new dynamics of class and state–society relations that now represents the main obstacle to the development of credible solutions to the climate crisis.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.836
Threshold uncertainty score0.679

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 studies0.0010.000
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 head0.035
GPT teacher head0.257
Teacher spread0.223 · 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