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Record W2535722441 · doi:10.33137/rr.v38i4.26373

Renaissance Painting and Expressions of Male Intimacy in a Seventeenth-Century Illustration from Mughal India

2016· article· en· W2535722441 on OpenAlexvenueno aff
Mika Natif

Bibliographic record

VenueRenaissance and Reformation · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Art and Culture Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPaintingArtThe RenaissanceHuman sexualityHumanitiesArt historySociologyGender studies

Abstract

fetched live from OpenAlex

This article explores the artistic relationship between Western European Renaissance art and Mughal painting ca. 1630s at the ateliers in North India. A central theme is the employment of European painterly modes in the Mughal visual tradition that expressed male-male intimacy, carnal desire, and emotional attachment. In particular, the article focuses on the work of the Mughal painter Govardhan, who illustrated the opening scene of Sa‘dī’s Gulistan (Rose Garden). Govardhan built upon sixteenth-century European compositional elements and the themes of Noli me tangere and the Doubting Thomas to form subtle yet unmistakable allusions to male-male sexuality.
 Cet article explore les relations artistiques entre l’art de la Renaissance européenne et la peinture moghole des années 1630 dans les ateliers du nord de l’Inde. On y traite de l’utilisation de motifs de la peinture européenne dans la tradition visuelle moghole exprimant l’intimité masculine, le désir charnel et l’attachement affectif. Cet article se penche en particulier sur l’œuvre du peintre mogol Govardhan qui a illustré la scène d’ouverture du Gulistan (Rose Garden) de Sa‘dī. Govardhan y a construit son illustration à l’aide l’élément de composition de l’Europe du XVIe siècle, ainsi que sur les thèmes Noli me tangere et du Thomas incrédule, afin de créer une évocation subtile mais univoque de la sexualité homosexuelle masculine.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.850
Threshold uncertainty score0.191

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 communication0.0000.001
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 head0.018
GPT teacher head0.217
Teacher spread0.199 · 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 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
Published2016
Admission routes1
Has abstractyes

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