Réformes de l’économie et changements agraires dans le delta du Fleuve Rouge au Vietnam
Bibliographic record
Abstract
Cet article explore les théories de la différenciation à travers l’étude des effets des changements au niveau macro sur la différenciation agraire dans un village côtier du delta du Fleuve Rouge, au nord du Vietnam. Il s’agit d’une contribution au débat sur la différenciation agraire dans les sociétés postsocialistes en argumentant que, dans les endroits où l’économie de marché est devenue plus développée et qui sont proches des marchés des villes, les changements au sein des macrostructures accentuent les différences de revenu, altèrent les bases et les mécanismes de la différenciation, aussi bien que les modèles de différenciation existants. Je démontre que, si l’attention est portée sur les histoires et les contextes locaux, les études au niveau local contribuent à une meilleure compréhension des causes et des conséquences des changements agraires.
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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 | 0.001 | 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 | 0.002 | 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) | 0.004 | 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".