Elite Opinion and the “Belt and Road” Debate in South Korea
Bibliographic record
Abstract
This article analyzes elite opinion in South Korea as it applies to China’s One Belt, One Road initiative (OBOR), in order to better understand how a prominent Asia-Pacific middle power and US ally is approaching this development. Through a close analysis of the writing of foreign-policy elites in South Korea from 2013 to 2017, the study finds that OBOR was generally depicted as significant to China’s re-emergence in regional and global affairs, but not as wholly detrimental to South Korean interests. Elites did not speak with one voice, but presented the government with a comparatively sanguine view of OBOR. The debate, we illustrate, created unlikely alliances between left- and right-leaning elites about some aspects of the initiative, but it also revealed tensions among conservative and centrist elites. In seeking to demonstrate their relevance to policy makers, however, elites inadvertently underlined their growing distance from the general public.
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How this classification was reachedexpand
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 | 0.000 | 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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".