International linkages, geopolitics, and the Belt and Road Initiative: A comparison of four island territories
Bibliographic record
Abstract
Existing literature has placed a strong emphasis on foreign linkages for the sustainability of island territories. However, studies have largely focused the effect of Western linkages, leaving the rise of Asian linkages unexplored. Such an investigation is of increasing significance given China’s rise in global politics and its ambitious Belt and Road Initiative (BRI). This article explains island territories’ inclination towards this newfound Chinese influence by comparing two Danish island territories and two Chinese island territories and argues that island territories with strong international linkages tend to face more challenges to accept the BRI, as demonstrated by the cases of Greenland and Hong Kong with stronger US strategic, military, and diplomatic linkages; and vice versa for the Faroe Islands and Macau with relatively weak international linkages. This paper contributes to the literature by moving beyond internal factors, including island types, sizes, and peripheralities, to explore how external factors, namely foreign linkages in international politics, from an alternative geopolitical perspective.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| 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".