China’s public transport in its present and future
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
The People’s Republic of China is the third largest country in the world in terms of territory, behind Russia and Canada, and the first in terms of population. China is a dynamically developing country, and its economy is growing at an annual rate. Public transport is crucial to the development of China’s economy, and especially railways. It is noted that the railways in China are one of the main components of the country’s economy. Statistical data on the public transport system in China are analyzed in this article. It considers types of public transport and reveals their crucial role in the economic and social life of the country. It analyses the dynamics of population growth in the country and development needs of passenger transport. The ways and means of modernizing existing transport structures and the rate of construction of new ones are considered. A comparative study of the length and density of roads and railways of two countries is made, the Russian Federation and China. The prospects for the development of public transport in the PRC are considered, and the main aspects of the government’s plans up to 2035, including the introduction of the latest technical and logistical developments in the field of public transport, are studied.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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