L’agriculture durable au Vietnam : une étude de cas dans le delta du Mékong
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.
Bibliographic record
Abstract
À compter du milieu des années 1980, dans le cadre d’une authentique révolution verte, l’agriculture vietnamienne a subi d’importantes modifications. Dans plusieurs régions du pays, les cultures traditionnelles ont progressivement été remplacées par la monoculture intensive du riz, une transformation amplifiée par la politique du Doi Moi. Bien des problèmes en ont résulté, ce qui a incité le gouvernement vietnamien à réorienter ses politiques en faveur de systèmes agricoles plus durables. Au moyen d’études de cas réalisées dans deux communes du delta du Mékong, nous examinons la durabilité de deux systèmes agricoles-aquacoles intégrés promus par les programmes gouvernementaux et concluons que ces systèmes peuvent, au moins partiellement, tant atteindre les objectifs établis par l’État que souscrire aux principes de l’agriculture durable.
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Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | high |
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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 it