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Record W2738508321

Anish Kapoor: Embedded Impressions of Indian Culture

2016· other· en· W2738508321 on OpenAlexaff

Bibliographic record

VenueOCAD University Open Research Repository (OCAD University) · 2016
Typeother
Languageen
FieldArts and Humanities
TopicSouth Asian Cinema and Culture
Canadian institutionsOntario College of Art and Design
Fundersnot available
KeywordsSculptureHinduismArtAestheticsEmbodied cognitionVisual artsSociologyFormative assessmentArchitectureSpiritualityArt historyPhilosophyReligious studiesEpistemologyPedagogy
DOInot available

Abstract

fetched live from OpenAlex

This MRP analyses key elements in several of Anish Kapoor's iconic artworks. While many of these works appear formalist at first glance, the artist's multicultural background plays an important and often under-recognized role. Born in Mumbai, Kapoor spent his formative childhood years in India before moving to London and starting his professional artistic career. Often eschewing his Indian roots in favour of being considered an artist, first and foremost, the subtler meanings embodied in Kapoor's work remains a challenge to those unfamiliar with Indian culture, religion and philosophy. This major research paper seeks to bring forth the Indian aspects found in Kapoor's sculptures and installations. Three sections – ‘Colour’, ‘Auto-generation’ and ‘Architecture’ – identify the presence of Indian thought and spirituality in Kapoor's use of intense colour, self-created objects, and evocative voids. I argue that Hindu concepts such as Sunyata ("emptiness") and Samkhya ("dualities") are fundamental to the artist's works. Ultimately, Kapoor’s work not only features traces of Indian themes, philosophies, and culture, but depends on these aspects for its most compelling affects. \nKeywords: Anish Kapoor, Indian culture, Sunyata, colour in art, Samkhya, voids in sculpture, auto-generation in art, contemporary art, installation 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 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)0.001
metaresearch head score (Gemma)0.002
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: Other · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.007
Scholarly communication0.0060.002
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.049
GPT teacher head0.288
Teacher spread0.240 · 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
GenreOther

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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