La organización de cooperación de Shangai (OCS) : claves para la creación de un futuro líder mundial
Bibliographic record
Abstract
La Organización de Cooperación de Shangai (OCS) constituye la organización internacional intergubernamental más importante de Asia y llevará a los dos principales motores de la misma, Rusia y la R.P. China, hacia unos elevados niveles de crecimiento y desarrollo económico y social. Nacida para aumentar los niveles de seguridad regional, rápidamente ha derivado hacia la creación de un área de libre comercio, al igual que existe en otras regiones del mundo. Sin embargo, en el caso de la OCS, esta nueva área de integración llevará previsiblemente hacia una creación de flujos comerciales hacia Asia, al integrar la OCS más de una cuarta parte de la población mundial, siendo la R.P. China la gran beneficiada de este proceso de integración._____________________________The Shanghai Cooperation Organization (SCO) is the largest intergovernmental organization in Asia and leads to the two main engines, Russia and China, to higher levels of growth and economic and social development. Born to raise the levels of regional security, it has led to the rapid creation of a free trade area, as has happened in other regions of the world. However, in the case of SCO, this new area of integration is expected to lead to the creation of trade flows within Asia, integrating more than one quarter of the world population, being China the great beneficial of this integration process.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".