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Record W2257096134 · doi:10.5539/mas.v10n4p101

Comparison of Physical Structure of Iran Traditional Neighborhoods Based on Living Center Theory of Christopher Alexander (Case Study: Haji and Kolapa Neighborhoods in Hamedan)

2016· article· en· W2257096134 on OpenAlexvenueno aff
Somayeh Hatefi Shogae

Bibliographic record

VenueModern Applied Science · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicArchitecture and Cultural Influences
Canadian institutionsnot available
Fundersnot available
KeywordsCenter (category theory)SociologyAdaptabilitySpace (punctuation)ArchitectureLiving spaceGeometryEpistemologyMathematicsComputer scienceGeographyPhilosophyDemographyLinguisticsManagementArchaeology

Abstract

fetched live from OpenAlex

In the way Christopher Alexander<sup>1</sup> provides understanding and knowing order of nature, the pattern of living structures according to the concepts of totality and strong centers are paid attention to in 15 integrated features. The purpose of this paper is to analyze the physical totality of these two neighborhoods based on Alexander`s living center theory and its adaptability with architectural physics .This paper tries to answer following questions: What is the theory of living centers proposed by Alexander? Based on living center theory, how is the geometrical structure of traditional neighborhoods in Hamedan? How is the comparative study of structure of both neighborhoods based on Alexander`s theory? The results of study suggest that certain space as an essential feature of the theory of Alexander is not applicable with geometry structure of elements of the traditional neighborhoods of Hamadan. Comparison of geometry structure of the neighborhood and the characters of Alexander's theory pattern suggests that the most important role in the neighborhood for creating more life arises from strong centers, levels of Scale, boundaries, non-separateness, roughness, the void and contrast .The findings survey can use urban planners, urban designers and architectures to design new neighborhoods.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.329
Threshold uncertainty score0.544

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 studies0.0000.001
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 head0.059
GPT teacher head0.285
Teacher spread0.227 · 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 designBench or experimental
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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