The Impact of Regional Level Land Use on the Urban Functional Changes
Bibliographic record
Abstract
Urban land uses are spatial dynamic phenomena, changing according to time change because of economic and social factors influence.Urban functions are affected by several factors at urban and regional levels.The purpose of this study is to answer what the functional changes in An Najaf from 2015 to 2020, What factors affect the increase of functional changes, and how the regional land use of An Najaf International Airport site and the University of Kufa campus site affect the changes mentioned above.The Research used a Geographic Weighted Regression (GWR) within (GIS) to find the relation between spatial variables, the causes and the size of functional changes, functional changes are displayed on a map to help the planner make decisions.The results showed that the study area witnessed great economic, social, and urban changes that affected the development of land uses as well as a change of urban functions.The using of (WGR), there is an impact between the factors related to the regional level with the total functional changes as a result of local R² (86%) of residential functions have changed to commercial, (79%) from residential to industrial, and (45%) from residential to other uses during 2015-2020.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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) | 0.003 | 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".