Reforming the World Trade Organization: Practitioner Perspectives from China, the EU, and the US
Bibliographic record
Abstract
Abstract China, the European Union, and the United States are the world's largest traders. They have a big stake in a multilateral system of rules to manage the inevitable frictions among interdependent economies organized on different principles. This paper discusses elements of the WTO reform agenda through the lens of positions taken by these three WTO members, identifying the extent of alignment on key subjects, including transparency, dispute settlement, and plurilateral negotiations. We draw on findings of a recent research project on WTO reform and use responses to an expert survey to assess the prospects for actions that all three trade powers might support. Our premise is that reforming WTO is a necessary condition for the organization to be a more salient forum for the three large economies to address trade tensions, and that agreement among these three trade powers, in turn, is necessary to resolve the problems of the WTO.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".