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Record W2290636230 · doi:10.5539/ach.v8n1p155

The Meaning of Order in Persian Painting (The Case Study of Mourning on the Death of Timur)

2016· article· en· W2290636230 on OpenAlexvenueno aff
Mansour Hessami, Soudabeh Safari

Bibliographic record

VenueAsian Culture and History · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicIslamic Studies and History
Canadian institutionsnot available
Fundersnot available
KeywordsPaintingMeaning (existential)Composition (language)Order (exchange)VictoryClass (philosophy)Image (mathematics)Subject (documents)ArtLiteratureVisual artsPhilosophyComputer scienceArtificial intelligenceEpistemologyLaw

Abstract

fetched live from OpenAlex

<p class="1Body">The Mourning on the death of Timur is adapted from the Timurid Zafar-Nameh (The Book of Victory), 935 AH – 1529 AD, which is authored by Sharaf al-Din Ali Yazdi. Painting Works in this book are attributed to Kamal al-Din Behzad. The structure of this image in this research is taken into account.</p><p class="1Body">The aim of this study is to explore hidden and clear structures of the above image. Apart from displaying the painter's ability in using visual means to express the content better, the present paper proves arranging visual elements and the existence of a regular structure in this image. Also, symbolic secrets and meaning of numbers are used to create an order in infrastructure of the painting; four numbers are obtained that in many cases, they are repeated in arrangement of the image elements in addition to proving the existence of strong organization and composition in this artwork, symbols of death and eternal life are concerned with the image subject. This is another reason for non-random composition of the visual elements and the existence of its strong structure.</p>

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)0.001
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.338
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.026
GPT teacher head0.255
Teacher spread0.229 · 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 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
Published2016
Admission routes1
Has abstractyes

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