City and Urban Social Justice, Analyzing and Evaluating Regional Inequalities (Case Study: Eight Urban Deteriorated Districts of Zahedan City)
Bibliographic record
Abstract
Dissolution of distribution system of urban services centers has been one of the most important consequences of the rapid growth of urbanization and physical development of Iranian cities within recent decades. It has brought about social inequalities for citizens in terms of taking advantage of such services. The public urban services forms the physical, social and spatial nature of a city; hence, unfair distribution of such services will impose an irrecoverable influence on both the structure and nature of the city and class-based segregation of districts of the city on the one hand and has brought about serious challenges for the urban management. This study tries to explain life quality levels in the urban deteriorated fabric of Zahedan City based on 38 life quality indexes and their relationship with the urban land uses per capita across different districts; 10-use per capita has been used. Over-18-year-old citizens living in deteriorated districts of Zahedan City constitutes population of this study. Totally 258789 people live in such districts. A total of 384 people were selected as the sample of the study using random sampling and Cochran’s formula. A descriptive-analytical method was followed to conduct the study. Initially, exploratory studies and preliminary visits were arranged and then it was followed by the field study, using survey method. Entropy and COPRAS methods were used to determine the sample size of the questionnaires given population of each district and finally to analyze and rank districts. The results showed that per capita distribution of urban services across the districts 4, 3 and 5 was better than the standard per capita issued by the Ministry of Housing and Urban Development and they were closer to the ideal condition. However, there was a large gap between distribution per capita in districts 2, 1, 7 and 8 and the standard per capita and the positive ideal and they have not ideal condition. According to the life quality indexes, accessing to primary schools is the most important item for the citizens and this item is not ideal in these districts and is the first item in the urban services accessibility indexes. Finally, the results of rating districts based on urban per capita and life quality indexes indicate that there is a weak relationship between urban per capita and life quality indexes; as only a district out of eight ones showed an equal rate.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 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".