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Record W4411434545 · doi:10.62307/srj.v4i1.113

Cultural Negotiation in Early Sikh Imagery: Portraiture of the Sikh Gurus to 1849

2019· article· en· W4411434545 on OpenAlexaboutno aff
Atushi Ikeda

Bibliographic record

VenueSikh Research Journal · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicSouth Asian Studies and Diaspora
Canadian institutionsnot available
Fundersnot available
KeywordsHinduismPortraitAsceticismQuarter (Canadian coin)SAINTFace (sociological concept)PaintingArtArt historyLiteratureHistorySociologyReligious studiesPhilosophyArchaeologySocial science

Abstract

fetched live from OpenAlex

This paper argues that Guru Nanak came to be painted in Hindu-like frontal in single portrait, which implies the preexisting custom of the production and consumption of images of the Sikh Gurus. The idea that he is deified in these paintings is based on the theory that a frontal view is used for worshipping the sitter. Although Guru Nanak’s face was represented in three different modes, namely frontal, profile and three quarter face, in the late 17th and 18th centuries, a three-quarter view of the face has been dominant in his images since the 19th century, when his attire and accessories also changed from those of a Hindu ascetic or a Muslim saint to those of a Sikh Guru, exemplified by a turban. It is also noticeable that the later Gurus were painted primarily in portrait, a fact that may manifest their authoritative genealogy against other contemporary successors.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.015
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.009
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.069
GPT teacher head0.334
Teacher spread0.265 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2019
Admission routes1
Has abstractyes

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