Support for international trade law: The US and the EU compared
Bibliographic record
Abstract
In this article we compare US and EU support for bilateral and multilateral international trade law. We assess the support for international law of both trading blocs by focusing on the following four dimensions: leadership, consent, compliance and internalization. Although we find strong support for international trade law from both the US and the EU in general, we also witness some variation, most notably in relation to the design of preferential trade agreements (PTAs) and compliance with World Trade Organization (WTO) law. Turning to explaining these (moderate) differences, we argue that outcomes in US trade policy can best be explained by a domestic political factor, namely the direct influence of interest groups. Although the involvement of societal interests also goes a long way in explaining EU behavior, it does not tell the entire story. We posit that, in EU trade policy, institutions are a particular conditioning factor that needs to be stressed. Moreover, we suggest that foreign policy considerations in managing trade relations have characterized EU's support for international trade law.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".