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Record W3173672028 · doi:10.36099/ajahss.3.6.6

Self-reflexivity and the Representation of The Indian Diasporic Community in Deepa Mehta’s Bollywood/Hollywood

2021· article· en· W3173672028 on OpenAlexaboutno aff
Sangeeta Gupta

Bibliographic record

VenueAddaiyan Journal of Arts Humanities and Social Sciences · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicSouth Asian Cinema and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsHollywoodNarrativeMovie theaterComicsHistoryLiteratureDiasporaComedyGender studiesSociologyMedia studiesArtArt history

Abstract

fetched live from OpenAlex

This paper discusses Deepa Mehta’s lighthearted romantic comedy Bollywood/Hollywood as a representation of the Indian diasporic community settled in Canada. What makes this film especially interesting is that it focuses on how, for overseas Indians, Bollywood offers the possibility of accessing the home culture in a globalised world. Bollywood as an industry is synonymous with the genre of family melodrama, and when Mehta uses this term it represents, not just the Bombay Film Industry, but also the cultural iconicity of the genre, which in turn represents the film sensibility of the entire ‘mass’ of Indians located within the country and in the diaspora. At one level, the film is a lighthearted comic portrayal of the Indo-Canadian community in Toronto and its strong connection with “our magnificent Indian culture” (B/H) through the Hindi movies churned out by Bollywood. At a closer look at a number of scenes, light is cast on the way Deepa Mehta emphasizes the cultural divides through interesting narrative and visual constructions. The actual argument of the film emerges in a dialectical reading and recognition of the oppositional forces operating within and without the narrative world. What is particularly striking about this film is its self-reflexivity. It announces itself as a Bollywood melodrama and celebrates this identity. Bollywood is thus positioned as both a subject and an object of contemplation—a world of Cinema that is a part of our memory and a vehicle of history. The critique of the formula also comes from within the formulaic narrative itself. Deepa Mehta constantly uses the genre and also plays around with it in interesting ways

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 score0.245
Threshold uncertainty score0.487

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0160.020
Scholarly communication0.0090.002
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 head0.079
GPT teacher head0.291
Teacher spread0.212 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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