Multiple Obligations of State Trading Enterprises under the Multilateral Trade System ——an Illustration of Canada's Transnational Legal Practices
Bibliographic record
Abstract
Under the current multilateral trade system, State Trading Enterprises (STE in short) undertake multiple layers of obligations. Besides GATT XVII, STE also undertakes obligations under trade remedy laws as providers of subsidies, recipients of subsidies as well as under antitrust law. These obligations reflect the distrust of current multilateral trade rules against States' participation in economics. The multiple obligations, in essence, are only a reflection of the debate of the fate of STE in the Doha round's agricultural negotiations. As to China, besides active participation of the negotiations of new trade rules so as to create lawful environments for the development of Chinese STE, it's also advisable to adopt additional methods such as private export trading corporations, industrial associations and so on in order to improve the regulation and coordination of export competition.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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".