Approaches of Russia and Turkey in Strengthening Regional Security in the Middle East and Central Asia in the Second Half of the 20th and the First Quarter of the 21st Centuries
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The article considers the problem of regional security which is on the agenda of the international community. Russia and Turkey as two politically and economically interconnected countries have a rich history of relations. The Middle East and Central Asia where their national interests overlap are priority directions at the present stage. However, disagreements in conflict resolution do not allow reaching a compromise and entering a new level of interaction. At the beginning of the 21st century Russia and Turkey showed an interest in strengthening regional security and achieving peace and stability. Although the incident in November of 2015 slowed down the development of cooperation and caused the refusal to maintain friendly contacts Moscow and Ankara realized the need to overcome differences and follow the provisions of concluded treaties and agreements. The beginning of a special military operation in Ukraine on the 24th of February of 2022 showed their complex and ambiguous interaction in the Middle East and Central Asia. The aim of the article is to identify the approaches of Russia and Turkey in strengthening regional security.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it