The Differentiated Roles of Mega-events in Reshaping International Relations in East Asia: A Recent Decade Review
Bibliographic record
Abstract
In the past fifteen years, mega-events in East Asia have experienced a significant shift in their nature and impact on international relations. Historically seen as positive platforms for cultural exchange and regional stability, these events have increasingly become sources of conflict and geopolitical tension. This paper provides a comprehensive review and typology of mega-events, categorizing them into five types: geopolitical conflicts, crises under the Sino-American framework, ideological and propaganda issues, territorial disputes, and environmental issues. The study reveals how these events now exacerbate regional tensions and highlights the need for more nuanced and detailed research to understand their evolving roles. By examining these trends, this paper contributes to the understanding of mega-events' multifaceted impacts on the socio-political landscape of East Asia, offering insights for policymakers and scholars to navigate future regional dynamics.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".