Modern Integration Processes in the Asia-Pacific Region: the Formation of Trans-Regional Mega-Agreements
Bibliographic record
Abstract
In the 21st century, especially in the last decade, new intercontinental integration projects appear on the global stage with a high potential for influencing the regional economic structure and at the same time bearing certain challenges for the international geo-economic and geo-political map of the world. Comprehensive new-generation inter-regional agreements are being formed, such as the TTP, the TTIP, the RCEP, the Comprehensive Economic and Trade Agreement between Canada and the EU (CETA), the Japan-EU Economic Partnership. The Asia-Pacific region has been an active participant in the creation and promotion of mega-regional trade agreements. Mega-regional trade agreements in the Asia-Pacific region, namely the TTP and the RCEP, are analyzed as mega-projects with an unprecedented scale of liberalization within the framework of the agreement that include provisions complementing the WTO framework or extending beyond it. There identified reasons for the emergence of mega-regional trade agreements and prospects for the implementation of these projects, as well as possible consequences for the international economic system. It is established that new trans-regional projects, providing certain advantages to the participating countries, simultaneously carry both opportunities and challenges for the world economy. The latter are associated with the threats of crowding the countries that do not take an active part in the integration processes out of the global chains of value creation as well as of the processes of international trade.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".