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Record W2298904595 · doi:10.5539/mas.v10n3p95

Conceptual Urban Planning a Prerequisite for Physical Urban Planning

2016· article· en· W2298904595 on OpenAlexvenueno aff
Hamidreza Varesi, Mahmoud Mahmoudzade

Bibliographic record

VenueModern Applied Science · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicArchitecture and Cultural Influences
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsRanking (information retrieval)Urban planningSociologyScale (ratio)Order (exchange)Regional sciencePolitical scienceBusinessGeographyComputer scienceCivil engineering

Abstract

fetched live from OpenAlex

<span lang="EN-US">In the contemporary urban order the rational connection between the physique of the city and its non-physical elements is a major concern. Whatever happens in the existence of a city like the social, cultural, economic and political interactions are the inevitable realities through which the qualification and quantification nature of the city are determined. All occurrences in these realities, the constituent elements, are subject to the structural process which can be regulated as one of the social organization (non-physical) in urban settings, namely the social organization of the city, economic organization of the city and the political organization of the city. These organizations have the ranking in importance according to the city scale. The objective here is to identify these organizations and their contributions in conceptual urban planning. The adopted method here is descriptive-analytic. In a comparative comparison between the physical and non-physical needs of human regarding an urban setting reveals that the non-physical aspect has priority with high importance since its effect on the citizens’ satisfaction is specific and direct.</span>

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0030.020
Scholarly communication0.0060.006
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0080.001

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 head0.056
GPT teacher head0.279
Teacher spread0.223 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2016
Admission routes1
Has abstractyes

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