El proyecto transregional de la administración Trump y la competencia por la integración económica en el Pacífico
Bibliographic record
Abstract
The text proposes a particular reading of the Asia Pacific-North America-Europe integration project (designed and partially implemented by Donald Trump’s trade advisers) and the conditions under which it faces the political competition of the Comprehensive and Progressive Trans-Pacific Partnership (CPTPP, headed by the Japanese government) and the Regional Economic Comprehensive Partnership (RCEP, led by the Chinese government). In this context, the article highlights the scope of each of these trade regulation initiatives, and, using Japan’s example shows how each government is willing to make trade concessions to its counterparties, depending on each partner and each trade agreement. The work proposes that advisers to the Trump administration set a turn by abandoning capital formation, to embrace the consumption of families and government as the main comparative advantage of the US economy. In this new situation, access to the US and/or to the North American markets, underprivileged conditions, costs to accept and comply with the regulations of bilateral agreements and/or the United States-Canada-Mexico Agreement (USMCA). The author concludes that Asian and North American partners of the US government should review trade relations between them to close the circle of bilateral agreements and benefit from the US initiative.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".