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Record W2537564774 · doi:10.5539/mas.v11n1p102

Studying and Comparing Pictorial Drawings and Patterns of Chaharbagh School and Seyyed Mosque of Isfahan

2016· article· en· W2537564774 on OpenAlexvenueno aff
Shahrbanoo Khazan, Vigen Ghazaryan

Bibliographic record

VenueModern Applied Science · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical and Architectural Studies
Canadian institutionsnot available
Fundersnot available
KeywordsOrnamentsSoulBeautyPaintingSpace (punctuation)Visual artsSection (typography)ArchitectureTechnical drawingAestheticsComputer scienceArtPhilosophyTheologyEngineering drawingStyle (visual arts)

Abstract

fetched live from OpenAlex

Background/Objectives:The construction of Chaharbagh School and Seyyed Mosque of Isfahan has one century difference. In these 2 places the botanical and geometrical drawings are shown significantly and separately by having spiritual simplicity available in ornaments of tiles; however, in the infrastructure of moscuqe-school there is integration of different drawings shown as pile of colors and drawings without having specific purpose that are drawn on wall with complete details.Methods/Statistical analysis :In this project, it is benefit from library and field studies by using observation and the drawings of tile of work of Chaharbagh School and Seyyed Mosque of Isfahan are evaluated and compared and the properties of drawings of each section is analyzed and finally a table is offered for their comparison.Findings:In continuation of research, it is specified that generally the ornaments and drawings available in places belonging to Safavid dynasty, are originating from beautiful nature that are differently revealed in layout of walls, cloths and other things. The space of painting is more free and in the background there is mixture of tableau and space. Moreover, these mixed drawings are inspired from nature and beauty that not only does not lead to fatigue of eye and soul, but also refresh the human soul. Most of the artists during Qajar dynasty by self-learned method and by means of picture attempted to be familiar with architecture of western culture.Application/Improvements: Therefore, maybe it is more logical that merging these 2 systems is mainly unwanted and as a result of influence of ancient tradition from one hand and lack of being familiar with scientific and academic principles of European art.

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 score0.564
Threshold uncertainty score0.324

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 head0.028
GPT teacher head0.205
Teacher spread0.177 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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