Evaluation of Railway Transportation Performance Based on CRITIC-Relative Entropy Method in China
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Railway transportation affects the overall transportation process and integrated sustainable development. Evaluation of the railway transportation performance is of great significance for building an efficient and comprehensive railway transportation system. The research establishes a methodology to evaluate railway transportation performance in China. Firstly, the research determines the indexes for evaluation of railway transportation performance, including railway safety, infrastructure, equipment, operation efficiency, and green development. Second, the weight of each index is calculated by using criteria importance through the intercriteria correlation method (CRITIC). Third, the railway transportation performance is assessed based on multi-criteria decision-making (MCDM), by applying the CRITIC-relative entropy method. Finally, the empirical analysis shows that, in 2018, the railway transportation performance is underdeveloped in almost half of China’s railway bureaus and that there are obvious differences between railway bureaus in the east and west. The evaluation of railway transportation performance could be used to improve the sustainable ability of railway transportation in China.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it