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Record W2795061537 · doi:10.5539/mas.v12n4p109

Analysis of the Urban Management Practices and Sustainable Development in the Local Municipalities in Jordan: Case Study - Salt City

2018· article· en· W2795061537 on OpenAlexvenueno aff
Ahmad Khlaifat, Hala Abu Taleb, Zeyad Makhamreh, Deya Qtiashat

Bibliographic record

VenueModern Applied Science · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicUrban and Rural Development Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsDecentralizationBusinessLocal governmentPovertySustainable developmentUrbanizationLocal communityLocal economic developmentEconomic growthOrder (exchange)Urban planningEnvironmental planningEconomicsPolitical scienceFinanceGeographyPublic administration

Abstract

fetched live from OpenAlex

The urbanization processes and the accelerated growth in the Arab countries, during the last five decades, have resulted in negative social impact represented in the high rates of unemployment and poverty. This was accompanied with problems related to the provision of infrastructure and social facilities, inadequate housing for low-income persons and other environmental problems. Therefore, there is a need to apply and activate the role of decentralization processes to manage the cities under emerging modern urban services and activities, in order to identify policies and cope with innovative plans that suit for sustainable urban development. Incorporations of local people and decision makers in improving social, economic and environmental conditions, and participation of local people in decision making can lead to find the appropriate solution that can promote sustainable urban processes, and facilities the implementation of the local communities’ activities. Consequently, this will lead to improve the urban services in appropriate quality and economic visibility and sustain social consistency and environmental resources in the cities. In order to achieve a sustainable development practices in the municipalities, it is recommended to focus on local community resources, increase financial income, develop local human resources proficiency, and finally empower the local people authority and decision –making process, which can be achieved by the application of decentralization governance system.

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)0.006
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.128
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.053
GPT teacher head0.327
Teacher spread0.274 · 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 designQualitative
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

Citations4
Published2018
Admission routes1
Has abstractyes

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