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Record W4283019525 · doi:10.30785/mbud.1055743

The Development of the Covering System of Konya Mosques in the Anatolian Seljuk and Ottoman Periods

2022· article· en· W4283019525 on OpenAlexaboutno aff
Gülçin KAHRAMAN

Bibliographic record

VenueMimarlık Bilimleri ve Uygulamaları Dergisi (MBUD) · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicHistory and Cultural Heritage
Canadian institutionsnot available
Fundersnot available
KeywordsIslamAncient historyPeriod (music)Dome (geology)Capital cityArchitectureCapital (architecture)Quarter (Canadian coin)ArchaeologyHistoryGeographyGeologyArtEconomic geography

Abstract

fetched live from OpenAlex

Mosques are the most specific structures of the Islamic city. The formation of these buildings in history also gives direction to the architectural character of the period. The top cover system and the dome have been important elements of the space organization. In the mosques of the Anatolian Seljuk period, the single-dome arrangement was developed in the Ottoman period and reached the central domes and side naves. Today's mosque architecture is also affected by the developments in the historical process and it is seen that modern top covering systems are experienced. Konya had hosted important civilizations from prehistoric times to the present and had been the capital of the Anatolian Seljuk State for many years. The number of mosque structures belonging to this period and reaching the present day is higher than other cities in Anatolia. The city did not lose its importance in the Ottoman period, and its spiritual value continues today. The coexistence of mosque structures of this period with the mosques of the Anatolian Seljuk period enables a comparison of the cover systems and its development chronologically.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.461
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.001
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 head0.013
GPT teacher head0.243
Teacher spread0.230 · 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 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

Citations0
Published2022
Admission routes1
Has abstractyes

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