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Record W2235685716

"Provincializing English," Globalizing Indian English Drama

2015· article· en· W2235685716 on OpenAlexaffvenueabout
Nandi Bhatia

Bibliographic record

VenuePostcolonial text · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicSouth Asian Cinema and Culture
Canadian institutionsWestern University
Fundersnot available
KeywordsDramaPrivilege (computing)Indian EnglishPower (physics)Class (philosophy)SociologyMedia studiesGender studiesHistoryLiteraturePolitical scienceArtLawPhilosophyEpistemology
DOInot available

Abstract

fetched live from OpenAlex

Through a discussion of Mahesh Dattani’s Seven Steps Around the Fire , the first full-length play about hijras that was initially commissioned by the BBC as a radio play in 1999 and was performed in Mississauga in September 2013, this essay highlights the contribution of Indian English drama in attempting to raise global awareness about socially marginalized groups such as the hijra across international sites and contexts. The discussion is informed by debates about the position of English in India, debates that emphasize the need to acknowledge English’s plurality and its various registers and that also suggest the importance of provincializing it in order to scale down the power it commands. However, while most discussions remain focused on the novel and the written text, the prominence accorded to drama in this essay calls attention to the contradictions that continue to mark this genre: while the English language facilitates its global mobility and provides it with an international presence, it simultaneously results in the relegation of this drama to the edges of the overarching category of “Indian” drama because it is written and performed in a language associated with class privilege and colonization in India and is therefore seen as not “Indian.”

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.843
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.027
GPT teacher head0.238
Teacher spread0.211 · 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.

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
Published2015
Admission routes3
Has abstractyes

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