When balance of power meets globalization: China, India and the small states of South Asia
Bibliographic record
Abstract
This article addresses the research question: how have most small states of South Asian region managed to acquire substantial amount of investment from China and India without falling into the strategic orbit of either power? This is an anomaly because most structural theories, in particular neorealism, would expect small states not to have much power and influence on their own in their relationship with powerful states. I answer this puzzle by arguing that the limited competition between China and India in an era of intensified economic globalization has provided a window of opportunity to small states to maximize their returns from the two without upsetting their relationship with either in a big way. This short-term bargaining window has been facilitated by the managed rivalry and economic interdependence between China and India which is yet to become an intense strategic rivalry. The article cautions that as the Chinese and Indian ambitions in the Indo-Pacific collide, the smaller states may be asked to make choices akin to bandwagoning with either one, in particular by offering military bases and naval facilities. This development, if it occurs, will drastically affect the bargaining power of the smaller states.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.007 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".