REASSESSING MIDDLE POWERS: A CASE STUDY OF ESTABLISHED MIDDLE POWERS AND THE IMPERATIVE FOR CONCEPTUAL REVISION
Bibliographic record
Abstract
This paper critically reassesses the concept of middle powers in the context of evolving global dynamics, including the recent recognition of Kazakhstan as a middle power. Traditionally associated with specific behavioral traits such as seeking multilateral resolutions and adopting compromise positions, middle powers face a disconnect between theoretical frameworks and their dynamic behaviors. The waning influence of the U.S.-led order and the persistence of outdated descriptors underscore the imperative for reconceptualizing middle power theory. Analysis of traditional and emerging middle powers, including Canada, Australia, Japan, South Korea, Brazil, India, and Kazakhstan, exposes a disparity challenging current perspectives. The UAE, with its strategic location and growing influence in regional and global affairs, also presents an intriguing case study in the evolving landscape of middle power dynamics. Despite its relative ly small size and recent emergence on the global stage, the UAE has rapidly established itself as a significant player in various spheres, including diplomacy, trade, security, and developme nt assistance. Drawing on theoretical frameworks of middle-power diplomacy from the UAE's foreign policy initiatives, this study highlights the unique characteristics and contributions of the UAE as a middle power in shaping regional and global dynamics. By analysingitsstrategic alliances, economic diversification efforts, and soft power projection, this article provides insights into the evolving role of middle powers in contemporary international relations.The paper advocates for a comprehensive revision that embraces modern realities, dynamic assessment, inclusive perspectives, global cooperation, and contextual sensitivity. By incorporating the experiences and actions of diverse middle powers into a revised framework, scholars and policymakers can better understand the nuanced roles and contributions of middle powers in shaping international relations. This reconceptualization aims to capture the complexities of contemporary international relations, providing a valuable analytical tool for understanding the roles and contributions of middle powers in an ever-changing world.
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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 | 0.014 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.029 | 0.028 |
| Scholarly communication | 0.013 | 0.017 |
| Open science | 0.004 | 0.013 |
| Research integrity | 0.005 | 0.009 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".