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Record W2898482582 · doi:10.1108/ohi-01-2010-b0007

The Quarter: A Complex of Neighbourhood units in Turkey

2010· article· en· W2898482582 on OpenAlexaboutno aff
Ayhan Usta, Gülay K. Usta

Bibliographic record

VenueOpen House International · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicHistory and Cultural Heritage
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)TurkishIslamCivilizationUrbanizationGeographySettlement (finance)Economic geographyEconomyCivil engineeringSociologyEngineeringArchaeologyEconomic growthBusinessEconomics

Abstract

fetched live from OpenAlex

In history, spatial organizations for houses have been changed and improved depending on the natural conditions, well-being of people, utilization of resourses, population density, family structure and urbanization rate. It can be said the spatial organization of housing that they are both in a relationship with culture and they are a total configuration of social, demographical, psycological, human behaviorial and environmental structure. Any housing settlement in Turkish Islamic tradition is macro and micro scaled organization in which social relation and cultural characteristics of society that are necessary for physical environment and society reflect. Basic element of urban spatial organization in Turkish Islamic housing pattern is “the quarter”. (Quarter is called as “mahalle” in Turkish culture) The quarter contains functional and semantic characteristics which are common for most Islamic civilization and Turkish Islamic cities. In this study, what meaning does the quarter have as smallest spatial organization element in Anatolia will be examined. In additon what kind kind of evolutionary process does the quarter face in Turkish settlement.

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 score0.952
Threshold uncertainty score0.999

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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.050
GPT teacher head0.341
Teacher spread0.291 · 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

Citations1
Published2010
Admission routes1
Has abstractyes

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