“Crossing the River by Feeling the Stones”: How Borders, Energy Development and Ongoing Experimentation Shape the Dynamic Transformation of Yunnan Province
Bibliographic record
Abstract
This article details the dynamic transformation of Yunnan’s border regime during the early twenty-first century through the Great Western Development Strategy, Bridgehead and Belt and Road Initiative. Although China’s macro-scale national strategies frame border change, experimental ideology and local-scale mechanisms drive border change and refine through constant adjustment. As illustrated in this article, border positioning and repositioning is incremental, constituted of many small and different components, dependent on locals and localities, and employing an array of border mediation strategies. Seemingly large scale border alteration is actually accrued through micro-changes, small scale experiments in specific places, trial and error adjustments and, essentially “crossing the river by feeling the stones.” Whereas Yunnan’s geostrategic location and vast energy resources have catapulted the province through rapid growth and into a globalized international context, ongoing transformation has also bolstered boundaries and bordering processes in Yunnan’s mobile border regime and generated antithetical and reactionary bordering responses that need to be viewed within a post-globalization border framework.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.010 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".