Planning and Preservation of Natural Areas in Urban Contexts: Application of Biophilic Approach in Kufa City
Bibliographic record
Abstract
This paper focuses on sustainable biophilic planning and its application in urban natural spaces. It examines key factors, such as natural green and blue spaces, that contribute to preserving natural areas in biophilic cities. Field surveys, observation, GIS, and mathematical models were used to analyze indicators derived from these factors in Kufa City, Iraq. The study identifies several effective indicators for achieving biophilic planning characteristics in Kufa City, including the urban forest index, urban orchard index, green eco-corridor index, and diversity of uses index. The findings highlight that Kufa City possesses important biophilic city characteristics, primarily due to its natural areas, as indicated by factors such as urban forests, urban pastures, and diverse land uses. These results suggest that Kufa City has the potential to transform into a biophilic city by leveraging its abundant natural areas. This has significant implications for enhancing the city's sustainability and livability.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".