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Record W2064176512 · doi:10.1093/jhs/hir001

From Craft to Art: The Aesthetic Ends of Technique in Sanskrit Texts of Classical Indian Dance

2011· article· en· W2064176512 on OpenAlexaff
M. Bose

Bibliographic record

VenueThe Journal of Hindu Studies · 2011
Typearticle
Languageen
FieldPsychology
TopicDiversity and Impact of Dance
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsDanceCraftBeautyAestheticsFlexibility (engineering)ArtSanskritVisual artsLiteratureMathematics

Abstract

fetched live from OpenAlex

For performers of Indian classical dance, the necessity of mastering its technique is so pressing that it often inhibits attention to its underlying aesthetic principles. The textual accounts of dance technique originating with Bharata’s Nāṭyaśāstra and mainly followed by his successors are so elaborately detailed that questions about the nature of the distinct type of beauty generated by dance tend to be overlooked, especially as aesthetic concepts relating particularly to dance are stated cryptically. Though this may appear confusing, it can actually benefit the dancer by allowing her flexibility in using her technical skill. But it also requires the dancer to undertake the critical study of aesthetic concepts as an essential part of her training.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.802
Threshold uncertainty score0.229

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.071
GPT teacher head0.335
Teacher spread0.264 · 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 designObservational
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
Published2011
Admission routes1
Has abstractyes

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