Agricultural Modernization and Climate Change in Vietnam's Post‐Socialist Transition
Bibliographic record
Abstract
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 ofĐổi 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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".