Canadian experience in low carbon eco-city development and the implications for 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
Canada is a sparsely populated country with its majority of population concentrated in cities, and its urbanization rate had risen to 80.2% by 2006. A similar environmental situation (air and water pollution, biodiversity degradation, high carbon emissions, et al.) in Canada has been going on in China and many of the developing countries during urbanization process. Based on ideas from urban planning and ecological development, Canada has taken a series of effective eco-measures, which contain urban heat island effect mitigation program, green infrastructure construction, and livable region strategic planning, to tackle with the environmental problems. The accumulated experience provides positive reference for China to find ways confronting climate change and obstacles of low carbon eco-city development, including: (1) Low carbon eco-city development mode, (2) Urban green infrastructure, (3) Urban ecological planning, and (4) Public participation.
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