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Record W2948487549 · doi:10.1525/luminos.72

Impersonations: The Artifice of Brahmin Masculinity in South Indian Dance

2019· book· en· W2948487549 on OpenAlexfundno aff
Harshita Mruthinti Kamath

Bibliographic record

Venuenot available
Typebook
Languageen
FieldPsychology
TopicDiversity and Impact of Dance
Canadian institutionsnot available
FundersUniversity of HyderabadEmory UniversityUniversity of OxfordHarvard UniversityAmerican Association of University WomenYork UniversityU.S. Department of Education
KeywordsMasculinityDanceTeluguGender studiesHegemonic masculinityHinduismHegemonyScholarshipIdentity (music)SociologyHistoryArtPoliticsLiteratureAestheticsReligious studiesLawPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

<i>Impersonations</i> centers on an insular community of Smarta brahmin men from the Kuchipudi village in Telugu-speaking South India who don <i>strī-vēṣam</i> (woman’s guise) and impersonate female characters from Hindu religious narratives. Impersonation is not simply a gender performance limited to the Kuchipudi stage, but a practice of power that enables the construction of hegemonic brahmin masculinity in everyday village life. This book analyzes the practice of impersonation across a series of boundaries—village to urban to transnational, brahmin to non-brahmin, hegemonic to nonnormative—to explore the artifice of brahmin masculinity in contemporary South Indian dance. “By charting the complex practices of masculinity through South Indian dance, Kamath deconstructs hegemonic brahmin masculinity and offers an intellectual tour de force that challenges Western epistemologies of gender.” STANLEY THANGARAJ, author of <i>Desi Hoop Dreams: Pickup Basketball and the Making of Asian American Masculinity</i> “Beautifully crafted and presented, this book fills a lacuna in scholarship on the figure of the brahmin man in relation to his gender identity and makes a compelling contribution to the field of Indian dance historiography, which often overlooks the critical role the dancing male body.” VASUDHA NARAYANAN, Distinguished Professor of Religion, University of Florida HARSHITA MRUTHINTI KAMATH is Visweswara Rao and Sita Koppaka Assistant Professor in Telugu Culture, Literature and History at Emory University.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.136
Threshold uncertainty score0.998

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 science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.003

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 head0.033
GPT teacher head0.281
Teacher spread0.248 · 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; both teacher heads agree on what is shown here.

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

Citations7
Published2019
Admission routes1
Has abstractyes

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