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Record W2261141290 · doi:10.5539/mas.v10n4p88

An Analytical Study on Adoption of Resistive Economy as a Political Strategy in Urban Management and Municipalities (Case Study: Zahedan Municipality)

2016· article· en· W2261141290 on OpenAlexvenueno aff
Seyed Moslem Seyedhosseini

Bibliographic record

VenueModern Applied Science · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicLocal Government Finance and Decentralization
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessHuman resourcesPoliticsDescriptive statisticsDeveloping countryEconomic growthDescriptive researchPolitical scienceEconomicsSociologyLaw

Abstract

fetched live from OpenAlex

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.

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.865
Threshold uncertainty score0.659

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.054
GPT teacher head0.353
Teacher spread0.298 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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