The Emergence of Trans-Asian Rail Freight Traffic as Part of the Belt and Road Initiative: Development and Limits
Bibliographic record
Abstract
Since 2011, freight transport rail links between China and Europe have been rapidly multiplying. Against all expectations, this commercial initiative, under the aegis of the Deutsche Bahn, has expanded significantly. The number of origin-destination pairs has increased, the number of trains has risen sharply, and both Chinese and European partners have far-reaching ambitions. The railways’ market share of trans-Asian freight is still low. However, rail link development projects have received a spectacular boost from the Belt and Road Initiative (BRI), resulting in the rapid expansion of volume, services offered, and the emergence of new rail infrastructure. Does this development, which needs to be examined more closely, represent a political tool for China? To what extent does the development of these rail links rely on a buoyant market? This article studies the development of rail services and infrastructure by means of a cross-analysis of a body of technical reports and publications by the transport sector’s professional press.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.002 |
| 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".