An Analytical Study on Adoption of Resistive Economy as a Political Strategy in Urban Management and Municipalities (Case Study: Zahedan Municipality)
Bibliographic record
Abstract
Nowadays, municipalities provide services to more than 70 percent of countries around the world, particularly the developing countries. Nevertheless, the important role of such nongovernmental institutions has not been adequately recognized in realization of resistive economic policies. As a large Iranian city, Zahedan has the capability to become an economic hub in the eastern region of the country due to its unique geographical location. Thus, the municipality of Zahedan can play an invaluable role in achieving such a goal. This paper attempts to discuss the most important challenges facing municipalities, including the municipality of Zahedan in line with fulfillment of the resistive economic policy. These challenges are categorized into four areas including: Laws and regulations, administrational issues, human resources and citizen participation. The methodology is descriptive-analytical. Moreover, the data were analyzed in terms of statistical measures through SPSS. The results indicates that the greatest challenge concerning the faded role of municipalities in the urban economy originates respectively from laws and regulations, administrational issues, human resources and citizen participation.
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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 | 0.002 | 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 | 0.006 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".