Relations between Republic of Korea and United Arab Emirates in Last Quarter of XX—XXI Centuries: from Economic Interaction to Special Strategic Partnership
Bibliographic record
Abstract
The evolution of bilateral relations between the Republic of Korea and the United Arab Emirates (UAE) in the context of the formation of the Middle East direction of Seoul’s foreign policy in the 1980s and 2010s is considered. The author identifies and analyzes a set of factors that contributed to building of a constructive dialogue between South Korea and the Arab monarchies of the Persian Gulf and the Arab world as a whole. A periodization of the history of the development of the Korean-Emirati relations is proposed, a description of its main stages, as well as the legal and institutional foundations of bilateral cooperation is presented. Particular attention is paid to the analysis of the transformation of conceptual approaches, methods and diplomatic tools for promoting the national interests of the Republic of Korea in the UAE. The author reveals the reasons for Seoul’s withdrawal from focusing solely on economic interaction with the UAE and the inclusion of South Korea in the political agenda of the Middle East, as well as the solution of urgent problems of ensuring regional security. The role of the South Korean presidents in strengthening the country’s geopolitical positions in the Middle East is emphasized. It is argued that the establishment of a strategic partnership with the UAE allowed the Republic of Korea to make a breakthrough in the Middle East and create favorable conditions for the integration of the UAE into world political and economic processes as an equal partner.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".