Guerra comercial entre ee.uu. y china: su impacto en la seguridad internacional
Bibliographic record
Abstract
The two economic superpowers: USA and China are immersed in a trade war that threatens the stability and growth not only of their economies, but the rest of the countries that occupy our planet. On the one hand, the United States with its nationalist and protectionist eagerness demonstrating its hegemonic ideas, starting from the slogan "america first"; China is committed to multilateralism from various global and regional platforms. North American companies operating in China would lose up to 12% of their profits. The trade war affects several countries, world growth is threatened and uncertainty reigns in international companies. US markets drop their products due to the rise in Chinese tariffs, the confrontation between the two nations can become an economic crisis that drags the US. and the world to a recession. Beijín argues that the only way out of the conflict is the talks, insists Washington to reconsider its hostile stance which will have dire consequences for the world economy. Latin American currencies weaken against the dollar, investors are more cautious to this joins the increase in the value of raw materials. North American farmers lose sales. Europe's economy is weakening, as is Germany's. Third countries benefit such as: Japan, Canada, Mexico. The supremacy in the technological area is at stake for the Americans. Cooperation and dialogue are better than friction and confrontation.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| 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".