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Cultural Identity in Hindi Plays

2022· book· en· W4309170891 on OpenAlexaff
Diana Dimitrova

Bibliographic record

Venuenot available
Typebook
Languageen
FieldArts and Humanities
TopicSouth Asian Cinema and Culture
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHindiIdentity (music)PoeticsDramaCultural identityNarrativePoliticsGender studiesSociologyIdentity formationAestheticsLiteratureSocial sciencePolitical scienceArtPoetryLinguisticsPhilosophySelf-conceptLaw

Abstract

fetched live from OpenAlex

Abstract This book deals with the interface between identity, culture, and literature. It aims at studying questions of cultural identity and gender in Hindi plays of the 19th and 20th centuries and the interplay of poetics and politics, as revealed in the work of several influential playwrights. The book explores questions related to the ways in which seven representative playwrights imagine India and its identity and the ways, in which this concept is revealed in the ‘narratives of the nation’, its postcolonial contentions, and the politics of identity, as revealed in the production of various cultural discourses. The chapters explore various aspects of the ongoing process of constructing and narrating culture, gender, the nation, and identity. There has been no monograph on the questions of cultural identity in Hindi drama. This is a pioneering project and a desideratum in the field of Hindi literature, South Asian Studies, and broadly, in the study of theatre of India and of South Asian cultures and literatures.

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: Other · Consensus signal: Other
Teacher disagreement score0.015
Threshold uncertainty score0.043

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 studies0.0100.009
Scholarly communication0.0080.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.028
GPT teacher head0.242
Teacher spread0.214 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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