Bibliographic record
Abstract
Introduction. The revision of the old U.S. rules of assigning developing country status under the law of countervailing duties in 2020 theoretically symbolizes another stage in the evolution of the Generalized Scheme of Preferences, but practically means a new form of battle for international competitiveness. There is no common criterion for determination of developing countries, either at the level of international organizations, including the World Trade Organization, or at the level of donor countries, while the list of least developed countries is determined by the United Nations, and they automatically become recipients of tariff preferences under the Generalized Scheme of Preferences. In this regard, the main idea and purpose of the study is to identify the applied aspects of the development of the international system of GSP and criteria for identifying developing countries to improve the system of tariff preferences EAEU and increase the competitiveness of goods produced in the domestic market. Materials and Methods. The paper reviews established rules within the GSP and features of the functioning of this system in the U.S., Canada, Japan, Britain and such integration groupings as the European Union, Commonwealth of Independent States and EAEU. To identify main aspects of this transformation it has been used the method of cross-country comparison, as well as methods of systematic and comparative analysis of relevant international and national legal acts and scientific papers. Results. We have revealed an international trend that is being formed by the leading economic actors to establish new rules for the functioning of the GSP and the criterion for determining the beneficiary countries. This trend will obviously affect the general rules of international trade within the framework of the World Trade Organization and to some extent will bring changes in its architecture. Discussion and Conclusion. The process of active unilateral revision of established for half a century international trade rules beyond the framework of international organizations gives to the problem a new systemic character and opens up an opportunity for future studies. It is obvious that we are on the beginning of entire international economic relations system transformation, which at the first stage will be accompanied by negative processes and will require an adequate response from the Russian state authorities, coordinating bodies of the EAEU and interested major economic agents.
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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 | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".