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Bollywood Sporting Spectacles

2016· book-chapter· en· W2492375321 on OpenAlex
Sony Jalarajan Raj, Rohini Sreekumar

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAdvances in media, entertainment and the arts (AMEA) book series · 2016
Typebook-chapter
Languageen
FieldArts and Humanities
TopicSouth Asian Cinema and Culture
Canadian institutionsMacEwan University
Fundersnot available
KeywordsSpectacleEntertainmentLeagueEnthusiasmEvent (particle physics)AdvertisingIdeologyArtMedia studiesCricketVisual artsPolitical scienceSociologyPsychologyLawPoliticsBusiness

Abstract

fetched live from OpenAlex

Indian Premier League (IPL) has evolved as a popular event for the large entertainment savvy middle class as well as sports enthusiasts who equally enjoy the new live spectacle on television. Most of the franchised team is owned by Bollywood stars or at least branded or heralded by film star. This made cricket match an extremely glamorized event with all the mix of a Bollywood film. This revolutionized the entertainment culture of public where they are now witnessing the merging of the most popular entertainment outlet – film and sports. The chapter argues that the concept of IPL as a media event is identified by the public as a glorified Bollywood film where it set an ideology that every second should be enjoyed with a similar enthusiasm of a masala Bollywood film. This chapter situates IPL with the larger framework provided by Dayan and Katz (1992) in defining a media event.

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.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.884
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.000
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 head0.008
GPT teacher head0.199
Teacher spread0.191 · 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