USA, EU and China as the Leading Actor in the World Trade and Cybersecurity, Divergences and Convergences
Bibliographic record
Abstract
The European Union (EU), United States (US), and China are the main global drivers of the international trade system. Trade wars between them create tensions in the world. As the world is facing increasing neo-protectionist trade applications of the Trump administration, this paper analyses whether a greater convergence between China and the EU is possible for protecting multilateralism through two case studies, namely (1) market conditions and discrimination, (2) cybersecurity. In this context, the paper argues that although the US pressure has led the EU to reapprochement with China, this situation creates a dilemma for the EU in terms of the fears about the problems of alignment with the normative identity of the EU. Whereas the EU aims at regulating the global trade on a normative basis originating from its acquis, China has a more strategic perspective based upon specific relationship context. It is difficult to take a side for the EU due to its different standpoint compared to China in defending the multilateral trading system.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".