Specificity of Subsidy:Standards and Comments——Application of Specificity Test in the CVD Investigations by United States on the Products from China
Bibliographic record
Abstract
Specificity is one of the most important concepts in SCM agreement.According to Article 1.1 of the agreement,subsidy is a financial contribution conferred to any specific enterprises through the government or public agencies of the government of a Member state.Furthermore,Article 1.2 of the agreement provides that a subsidy is subject to the regulation of the agreement only if such subsidy is specific.The countervailing law is directed to specific subsidies,as they may render distortion in the allocation of resources and unfair competition.Consistent with the historical origin of this term,the specificity test under SCM agreement is enacted to restrict the possible abuse of countervailing duty measures.According to the U.S.Commerce Department’s countervailing investigations on the importsfrom China in recent years and the application of specificity test in these investigations,as SCM agreement requires that a determination of specificity must be clearly substantiated on the basis of positive evidence, meanwhile U.S.DOC adopts theadverse inferencerule in its specificity test,the practices of U.S.DOC is not consistent with the SCM agreement and result in the unlawful determinations on the specificity of subsidies.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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".