Disputes Involving Agricultural Domestic Support
Bibliographic record
Abstract
Settled disputes involving agricultural domestic support, often in conjunction with export subsidies, are reviewed in this chapter, including economic circumstances, main arguments and findings, and policy responses. Differences and overlap between obligations and arguments under the Agriculture and SCM Agreements are articulated. Contrast is drawn between adjudicated MPS measurement for China wheat and rice and India sugarcane (under appeal). A modified measurement of MPS is proposed using market-based lagged reference prices. US cotton support found to cause significant price suppression and the eventual policy continuity at the end of this long dispute are examined. Cross-subsidization of exports resulting from domestic support measures for Canada dairy and EU sugar, and consequent reform particularly of the sugar regime are assessed. Each dispute arose in relatively egregious market interventions circumstances, clarified interpretation of the WTO rules, and has demonstrated limits on some types of domestic support.
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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 | 0.010 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.006 | 0.009 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.008 | 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 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".