Urban Sprawl in Iranian Medium-sized Cities; Investigating the Role of Masterplans
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
Urban sprawl is one of the main important phenomena threatening the spatial structure of cities and affecting the overall quality of them. This paper studied the urban growth pattern and sprawling of Kazerun, a medium-sized city in the south of Iran. Using the population and land use data available from secondary formal sources, the growth pattern was compared to national statistics. Furthermore, two well-known landscape metrics included Holdern and Shannon indices were applied to measure the extent of urban sprawl. As a qualitative research methodology, some experts (n = 30) working in governmental agencies were asked to explain the causes and effects of urban sprawl in the case study area. The results confirmed that several factors including the former masterplans affected the urban development pattern of the area. Moreover, a number of physical, environmental, economic and social impacts were discovered as the consequence of current fragmented growth pattern. Finally, a set of applicable policies are recommended to overcome sprawl and to achieve a more balanced 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 | 0.001 | 0.000 |
| 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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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