Applying quantitative techniques to evaluate the level of sustainability for physical dimension of urban form in sanandaj city, iran
Bibliographic record
Abstract
This paper aims to understand and evaluate the sustainability of physical dimension of urban form in rapidly growing urban areas and presents some quantitative methods (Shannon's Entropy and Holden Apportioning Technique) to measure the level of sustainability for urban form as a practical implication.The rapid urbanization in Iran in the second half of the 20th century has mostly manifested itself in the emergence of large cities and issue of sustainable urban form is becoming ever more important, taking into consideration the contemporary urban population growth and the concern of sustainable development.The Sanandaj City is located on the western side of Iran, and has a population of about 400,000.There has been rapid urbanization during the last three decades in the city and it is therefore chosen as a case study.The results of these measurements indicate that in order to achieve sustainable urban form, the urban policies for development should be changed.A more rational and focused approach is required in development of the urban areas to achieve effi cacy and sustainability.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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 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".