Social differentiation revisited: A study of rural changes and peasant strategies in Vietnam
Bibliographic record
Abstract
Abstract This article analyses the processes of transformation and differentiation since the 1950s in a Vietnamese rural village, hereafter called Chieng Hoa. 1 It examines how radical changes in political discourse and economic policies at the national level have affected the welfare and social relations of villagers and how the latter have in turn coped, resisted, as well as shaped such structural changes. Using concrete life stories of local people, the article identifies the winners and losers in this transformation process, the trajectories households or individuals have taken to arrive at their current positions, and the strategies that they are adopting for the future. It demonstrates that differentiation in Chieng Hoa implies changes in social relations, including but not limited to relations of production, and that even within this single locality, differentiation can take various forms and processes over time, whether specific to or cutting across changes in macro‐policies. The article also reveals that in the often perceived equal collectivisation, inequalities still existed and became causes of differentiation in the subsequent decollectivisation period. However, while conditions for a permanent differentiation were present, such process has failed to materialise in the current integration period. Differentiation has become more unpredictable as past winners can lose out due to unstable market conditions.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.011 | 0.009 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".