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Record W2940839204 · doi:10.1080/14680777.2019.1602781

Locating the political and the aesthetic in media spectacles in India

2019· article· en· W2940839204 on OpenAlexaff
Ila Ahlawat

Bibliographic record

VenueFeminist Media Studies · 2019
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCinema and Media Studies
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsPoliticsAestheticsSociologyMedia studiesPolitical sciencePolitical economyGeographyAdvertisingArtBusinessLaw

Abstract

fetched live from OpenAlex

The primary motif of this article is to present a theoretical focus on the problematic of women’s participation in the Indian media industry. This article includes a critique of capitalism and its influence on the space afforded to women in the field of visual media in India. Through citing relevant examples from the recent past in the television news media industry, the author has investigated theoretically and aesthetically the image and perception of the woman on the screen and behind the screen. The article deals with the spectator-spectacle dynamics, and has sought to locate dissent and establish that there is always possible a reversal in the setting; the spectator may be as challenged into “seeing” as the spectacle is in “showing.” There is a focus on the phenomenon of becoming, self-becoming and reclaiming the screen. Finally, the article seeks to discuss the malleable nature of technology that may not only oppress women but may also beused by women to frame alternate relations to visuality and narration. The article argues how the dominant politics in India curates ideologies most divorced from rationality and equality to undermine the cause of women and artistic advent of visual feminism.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.396
Threshold uncertainty score0.439

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.034
GPT teacher head0.252
Teacher spread0.218 · 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 designObservational
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
Published2019
Admission routes1
Has abstractyes

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