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Record W3174814791 · doi:10.47472/xkyc3057

Sustainable resources of urban economy

2020· article· en· W3174814791 on OpenAlexaff
Reza Pourvaziry, Fazileh Dadvar-Khani, S. Ananthakrishan

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicSustainable Development and Environmental Policy
Canadian institutionsYork University
Fundersnot available
KeywordsProsperityUrbanizationOrder (exchange)Sustainable developmentQuality (philosophy)SustainabilityUrban planningBusinessEconomic growthEconomic systemEnvironmental economicsEconomicsPolitical scienceEngineeringFinance

Abstract

fetched live from OpenAlex

One of the main approaches to sustainable urbanization strategy is to find appropriate resources for promoting the quality of life via developing infrastructure and extending facilities and support urban life by facilitating public access to meet their needs. Based on that we can approach a new urban economy based on sustainable resources and a specific diagram and discipline will participate in it. To realize this idea a clear statement and belief are needed. We expect that the outcome may be under undue pressure of the global political and economic forces because the new model is looking for creating fundamental changes to the current trends and turning to the new paradigm and world development system. To reach this level of transformation this article will focus on 3 cities with different scales, knowing that the scale plays an important role in municipal finance, so: 1- This article will review the top alternative models of the current urban economy. 2- It will examine and analyze the interaction between understandings, recognizing the main challenges of important points between the concepts of life at a macro perspective; the current state of economic circulation in cities and expressing clear key points. 3- This article will be based on the city Prosperity Index of United Nations and also on indexes of the quality of life in order to introduce a model of sustainable urban lifestyle, which will be introduced as a ‘dream’. As planners, we need to help cities promote self-reliance by redesigning the city in such a way that there will be a balance between external dependency and self-reliance 4- It will provide some examples of top priorities on sustainable resources to achieve the goals.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.648
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0110.001

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 head0.007
GPT teacher head0.183
Teacher spread0.176 · 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.

Study designNot applicable
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
Published2020
Admission routes1
Has abstractyes

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