The search for sustainable transport in a developing city: <i>The case of Tianjin</i>
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
With one of the fastest growing economies in the world, China is also experiencing rapid motorisation. While the car industry and the car market are being promoted as spurs to growth, car infrastructure is lagging far behind, with consequent serious problems for traffic management in all large cities. Tianjin represents a significant exception, with a high level of non-motorised traffic, very few dedicated motor vehicle roads and widespread sharing of all other roads by both motorised and non-motorised vehicles. Historical development, urban geography and a variety of city policies explain why Tianjin remains distinct. The operations of this transport system have important effects on the distribution of land uses, the character of streets and patterns of urban life. This article explores how this mixed transportation system works, in particular by examining the potential conflict points between the modes. While relatively high volumes of traffic are accommodated, there is a very low conflict rate. It is a...
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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 | 0.003 | 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