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Record W4409438883 · doi:10.63672/10m8d871

Darbar Interior in Royal Mughal Miniature Paintings under Akbar

2023· article· en· W4409438883 on OpenAlexaff
Attia Abrar, Mueezuddin Hakal, Shaukat Mahmood

Bibliographic record

VenueThe Journal of Cultural Perspectives · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical and Architectural Studies
Canadian institutionsArthritis Research Centre of Canada
Fundersnot available
KeywordsPaintingGeologyArtAncient historyArt historyHistory

Abstract

fetched live from OpenAlex

This study will explore the style of interior design of the Mughals, focusing on the Akbar period. Miniature paintings are one of the unique artistic features of Mughal art and also work as historical documents as any other historical record or data. Art piece of any area, dynasty or country depicts the events, culture, materials, techniques and other aspects including fashion, architecture, landscape, dresses of that particular area. The focus of this study is only on those painting that depicts court scenes that were painted by court artists. The Mughal miniatures were directly supervised by the Mughal emperors. Though the histories directly supervised by the emperors shows some affiliations and biasness but in this case, the depiction of events may be fascinated or paint as per desire of the emperor but the other field including interiors, minor arts, textile, dresses, furniture landscape portrays that period. The documentation of the Mughal art and architecture is very popular and well known but the details of interiors and its aspects is missing. So, this study will help in exploring the development and progress of Mughal Interiors including styles of furniture, thrones, carpets, wall treatments, doors, ceiling treatments

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.140
Threshold uncertainty score0.405

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 science0.0000.000
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 head0.030
GPT teacher head0.250
Teacher spread0.221 · 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
Published2023
Admission routes1
Has abstractyes

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