Karadeniz Ekonomik İşbirliği Teşkilatı: Sivil İşbirliği Stratejileri
Bibliographic record
Abstract
Efforts by individual countries or groups of Black Sea’s surroundings countries to cooperate have remained on the agenda of these countries for the last quarter of a century. However, it was a generally accepted assessment that the point reached in spite of all the struggles was not satisfactory. Especially today, we are targeting very serious regional war scenarios, which has found supporters on global and regional scale, which threaten peace and tranquility. It has become more important than ever that the countries of the region come together and join forces. On the other hand, in view of the neo-liberal global economic movements, it is understood that the countries of the region are in need of each other. These countries need to come together and establish a dialoge and partnership networks.From this point of view, efforts to develop socio-economic and cultural relations between the countries of the Black Sea region at the institutional level (public and private sector) in such a way that the people are directly involved are strategically important for the socio-cultural integration of societies and the development of commercial relations as well as to ensure regional security. In our article, after analyzing the structure and activities of the Black Sea Economic Cooperation Organization, which will celebrate its 30th anniversary in 2023, what the strategic relationship formats between the countries in the region can be and how they can be developed will be discussed.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.004 |
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".