Preferential margins in the agricultural sector of quad countries for selected non-reciprocal agreements: European Union
Bibliographic record
Abstract
Ce rapport vise à répondre à deux questions principales : (1) Quelles avantages les préférences commerciales apportent aux pays en développement ; et (2) quelles sont les implications de l'érosion de ces prèfèrenes du fait de la libéralisation commerciale multilatérale ? Les analyses sont réalisées pour les pays de la Quad (Canada, l'Union européenne, le Japon et les Etats-Unis) parce qu'ils ont les tarifs les plus élevés sur les produits agricoles. Les résultats de cette étude suggèrent que bien que les marges préférentielles soient érodées avec la libéralisation multilatérale, le problème concerne surtout seulement certains secteurs spécifiques pour certains pays.
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How this classification was reachedexpand
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 | 0.008 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".