The Main Problems of SCO Enlargement at the Present Stage
Bibliographic record
Abstract
Presently the most significant issues of Shanghai Cooperation Organization (SCO) include questions of its further extension, new country-members of SCO team, and what state could be full members of this organization. The issues of SCO extension is actual from 2004-2005 when Mongolia, Pakistan, India and Iran became as observers in SCO. This paper tries to do analysis on countries-observers due to strengthening of these processes when different states, particularly such antagonistic as India and Pakistan, consider their preferences to have partnership with SCO and why SCO accepts these countries. This article is focused on SCO observers’ interests and significance of these countries for SCO itself. Chinese and Russian politics on the new country-observers is also considered in the paper. It is argued that SCO extension perspectives are controversial and they demonstrate that SCO is not ready to increase this organization by including Mongolia, Pakistan, India and Iran to SCO at the present times. Preliminary conclusions are that SCO will not extend in the future and issues of SCO enlargement will not be resolved in upcoming years.
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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 | 0.007 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| 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".