The Second Fuzzy Layer Comprehensive Evaluation Model of Urban Low-Carbon Developmental Level and Its Empirical Research
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
Cities are main places that human activities get together and subjects that greenhouse gases emit. When striving to develop low-carbon economy, each country has attached importance to the construction of low-carbon city; therefore, the city should have its own evaluation index system of low-carbon development level in order to measure its low-carbon developmental level and thus find and solve problems. The article put forward the evaluation index system of urban low-carbon developmental level and the second fuzzy layer comprehensive evaluation model. One medium-sized city in midland was taken for example to carry out empirical research. On the one hand, results of the research show that the model has good universality; on the other hand, they also show that Chinese urban low-carbon developmental level is still very low and it needs to make great effects to prompt urban low-carbon development.
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 | 0.010 | 0.001 |
| 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) | 0.001 | 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