TRADE AND COMPETITIVE COOPERATION OF THE EU WITH THE MAJOR INTERNATIONAL INTEGRATION GROUPINGS
Bibliographic record
Abstract
The article examines the current interaction, convergence and the state of formalization of trade and competitive cooperation between the largest international integration groupings, namely, negotiating the free trade area between them and determining the possible prospects for the development of transregional integration. The aim of the study is to analyze the main trends of free trade zones and agreements between the European Union (EU), United States-Mexico-Canada Agreement (USMCA), Association of Southeast Asian Nations (ASEAN), South American economic organization (MERCOSUR), the impact of transregional integration on trade and investment activities of Member States and integration groupings in general. The analysis of current trends has indicated the strengthening of the momentum of the negotiations on free trade zones between international integration groupings and the establishment of the major global trend: the number and types of agreements on trade and economic cooperation not only between countries, but also between interstate integration groupings are growing, new free trade zones are being announced, and the range of concepts regarding competitive advantages is being extended. It has been determined that trade and competitive interaction of the global economy creates a stable platform for building up both economic and competitive force, which leads to global economic development and enhances hypercompetition. It has been proved that trade and competitive convergence of interstate integration groupings leads to new forms and mechanisms of activities organization and as a result, the prospects for the consolidation of free trade zones are emerging. Thus, the competitive position of international integration associations in the global economy is being strengthened due to active development of economic and trade cooperation, not only within the grouping of Member States, but also in the parallel process of interaction with non-Member States and with international integration groupings.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".