MétaCan
Menu
Back to cohort
Record W4383102742 · doi:10.1080/02759527.2023.2228145

Queer Politics of Naming and Figuration of the “Lesbian” in <i>Maja Ma</i>

2023· article· en· W4383102742 on OpenAlexafffund
Sohini Chatterjee

Bibliographic record

VenueSouth Asian Review · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicSouth Asian Cinema and Culture
Canadian institutionsWestern University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsQueerLesbianScholarshipGender studiesPoliticsSociologyRepresentation (politics)AestheticsArtPolitical scienceLaw

Abstract

fetched live from OpenAlex

In post-377 neoliberal India, with the emergence and proliferation of subscription-based video streaming platforms, the cultural field has undergone a sea change. In this complex, shifting, and evolving cultural terrain, representation of queer/lesbian women is becoming less uncommon. Maja Ma contributes to this growing cultural landscape by offering the representation of a “lesbian” who is also a Hindu mother, aunty, and wife. In this paper, I explore what the politics of naming—which has largely been avoided by films committed to the representation of queer women in Hindi cinema—offers the film’s “lesbian” protagonist, what it reveals about her complex figuration as aunty-mother-wife, and what naming offers relationalities that are forged, informed, and altered by the private disclosure as well as public revelation of her queerness. Drawing on queer cultural studies scholarship focused on India, as well as scholarship on the complexities of “lesbian” activism in India, I interrogate the shift that Maja Ma engenders in Indian queer cultural landscape, and the queer possibilities it offers this field, while paying attention to dominant norms of representation it aligns itself with.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.707
Threshold uncertainty score0.229

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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.023
GPT teacher head0.235
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 teacher head, 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

Citations1
Published2023
Admission routes2
Has abstractyes

Explore more

Same venueSouth Asian ReviewSame topicSouth Asian Cinema and CultureFrench-language works237,207