How secondary states can take advantage of networks in world politics: the case of bridges and hubs
Why this work is in the frame
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Bibliographic record
Abstract
In the context of the revitalized scholarly interest in small and middle powers, we employ a relational network approach to study the role of non-major powers as bridges and hubs. Contrary to prominent conceptions that centre on preconceived country groupings or states’ variable attributes, such as the size of their territory, economy, or armed forces, our study foregrounds the influence that states gain from their position in international networks. We begin by developing an ideal-typical theory of bridges and hubs. We then employ these concepts to discuss empirical examples, examining the extent to which our cases embody these ideal types. Our approach sheds light on the rationale for geostrategic relocation and how states can use networks to gain influence in world politics.
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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 | 0.001 |
| 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 it