Quest for the Middle Kingdom: the Political Effects of China’s Ambitions in the Belt and Road Initiative
Bibliographic record
Abstract
The Belt and Road Initiative (BRI) is Chinese President Xi Jinping’s brand for economic infrastructure development and investment. The BRI offers significant strategic advantages to the PRC and many benefits to partner countries, and is intended to situate China at the centre of international trade. At the same time, unintended consequences of investment will impact local populations in key areas, including population displacement, environmental degradation, corruption, political upheaval, exploitation and violent conflict. While the BRI offers significant opportunities to both China and its partner countries in the initiative, relative Chinese military weakness, the limits of economic activity, underdeveloped soft power authority, energy dependency, terrorism and domestic politics will all either inhibit the BRI or remain vulnerable aspects of the Chinese national interest as projects move forward. The BRI has the potential to reshape the economic relations of the world, however the strategic limitations of the project do not indicate a short or mid-term upheaval of the international system in favor of China or an end to China’s political challenges at home and abroad. This essay views the realist and constructivist schools of international relations theory as the most useful way to understand the motivations and consequences of the BRI. The long term effects on the global balance of power will also be examined, especially in the context of Xi’s vision for China in 2050.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.008 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".