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Record W1956446765 · doi:10.4324/9781315761048-9

The Gori in the Story: The Shifting Dynamics of Whiteness in the Bollywood Film

2011· article· en· W1956446765 on OpenAlexvenueno aff
Ajay Gehlawat

Bibliographic record

VenueTOPIA Canadian Journal of Cultural Studies · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicSouth Asian Cinema and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsWesternizationParallelsAmbivalencePoliticsMovie theaterArtGender studiesAestheticsHistoryLiteratureSociologyPolitical sciencePsychologyLawSocial psychologyEngineering

Abstract

fetched live from OpenAlex

This paper examines the evolving representations of whiteness in Bollywood film through an exploration of the figure of the gori, or white woman. Coded as both essentially Other and desirable, this figure manifests Bollywood’s ambivalent relationship with whiteness, particularly as the industry attempts to formulate a sense of “Indianness” for diasporic audiences whose growth, in turn, parallels the increasing Westernization of the Indian heroine. This paper analyzes the framing of whiteness in popular Indian cinema from the 1930s to the present and explores how recent renderings of the gori figure are indiciative of Bollywood’s shifting cultural politics.

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.015
Scholarly communication0.0090.005
Open science0.0010.005
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.067
GPT teacher head0.243
Teacher spread0.176 · 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
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

Citations2
Published2011
Admission routes1
Has abstractyes

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