MEKÂNSAL GÜÇ ASYA’NIN SİYASİ GÜCÜ: ŞANGHAY İŞBİRLİĞİ ÖRGÜTÜ Polıtıcal power of spatıal power asıan:Shanghaı cooperatıon organızatıon
Bibliographic record
Abstract
In this study, strategic developments and new power groups in Euroasia have been paid presented and not only the characteristics and importance, but also the status of Shanghai Cooperation Organization in terms of USA and Turkey have been studied. Shanghai Cooperation Organization was established as a natural need in the process of settling the boundry conflicts between the Soviet Union and People’s Rebublic of China more than twenty years ago (Hessbruegge, 2004:2). With the existence of Shanghai Cooperation Organization , as well as Russia and China’s inclusion in the game in the first quarter of 2000’s, there has been a shift from a USA-centered single polar world to a three-pole world. For the future of Central Asia, it is of great importance how the relationship among USA, Russia, China will take shape because of the fact that not only USA is believed to be a common enemy for Russia and China, but also Russia and China are geographically natural enemies of each other in Central Asia (Colakoglu, 2004:190). Membership in Shanghai Cooperation Organization is economically (as Turkey would like to enhance its commercial spectrum) and strategically (being a neighbour with Iran) important for Turkey. The continuation of Shanghai Cooperation Organization’s existence depend on Russia and China’s attitude. As the cooperation that relies on common interest between Russia and China progresses, this organization will continue its exist.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".