Evaluating of Urban Space Vitality: The Role of Safety, Security, and Urban Planning in the Religion Center of Kufa City, Iraq
Bibliographic record
Abstract
Urban vitality, a critical concept that differentiates thriving cities from others, is a characteristic that infuses life into a city and stimulates its activity.This study in their objectives examines the underlying factors contributing to the vitality of urban spaces, with a specific emphasis on safety and security.A methodology that depends on the identification of a framework of five key elements -density, accessibility, social interaction, surveillance, and activities -is put forward as vital to urban vitality.The presence of these elements is postulated to be contingent on the provision of safety and security in urban environments, and their influence is believed to extend to the duration and nature of human engagement with these spaces.The open space of the religious center in Kufa City, Iraq provides the contextual setting for this investigation.These factors were measured by utilizing the Geographic Information System (GIS) data, supplemented with field surveys and observation, to measure indicators of the aforementioned elements within the study area.Additionally, statistical methods are employed to quantify some of these indicators.The findings suggest a satisfactory level of vitality within the study area, as the majority of the proposed indicators are met.This is largely attributed to the presence of safety and security measures.However, the study also identifies areas for improvement, particularly in the regulation of land use and the management of vehicle speed on roads leading to the open space.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".