Inspirations to the Construction of Chinese Cities from City of Waterloo – Garden City of the 21st Century
Bibliographic record
Abstract
Face of China's urban problems, we have been thinking how to build a healthy and livable city. The City of Waterloo in Canada, a modern version of Garden City, has given us some inspirations. Briefly summarize the situation of Garden City and the City of Waterloo, analyze detailed why we say the City of Waterloo is Garden City of the 21st century, and point out that they are the same in essence, which is a city with the advantages of both town and country. It shows that it is not impossible to build a healthy and livable city with both advantages in the contemporary. Finally, give a clear explanation of inspirations to the construction of Chinese cities from the City of Waterloo. The inspirations are the followings. The layout of city should conform to the nature; City should give priority to green traffic; Urban commercial, culture, and other service facilities may lay out with appropriate centralized and decentralized; Open Space should retain appropriate original landscape.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.011 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".