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Record W3185596877 · doi:10.1386/ajms_00053_2

Editorial: Refashioning stories for celebrity counterpublics

2021· editorial· en· W3185596877 on OpenAlex
Sabrina Moro, Samita Nandy, Kiera Obbard, Andrew Zolides

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

VenueJournal of Applied Journalism & Media Studies · 2021
Typeeditorial
Languageen
FieldSocial Sciences
TopicGender, Feminism, and Media
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsNarrativeMedia studiesPersonaMemoirRhetorical questionStorytellingHollywoodSociologyPoliticsRepresentation (politics)IdeologySocial mediaIdentity (music)Political scienceAestheticsArtLiteratureHumanitiesLaw

Abstract

fetched live from OpenAlex

Using celebrity narratives as a starting point, this Special Issue explores the social significance of storytelling for social change. It builds on the 8th Centre for Media and Celebrity Studies conference, which brought together scholars and media practitioners to explore how narratives inspired by the lives of celebrities, public intellectuals, critics and activists offer useful rhetorical tools to better understand dominant ideologies. This editorial further problematizes what it means to be a popular ‘storyteller’ using the critical lens of celebrity activism and life-writing. Throughout the issue, contributors analyse the politics of representation at play within a wide range of glamourous narratives, including documentaries, memoirs, TED talks, stand-up performances and award acceptance speeches in Hollywood and beyond. The studies show how we can strategically use aesthetic communication to shape identity politics in public personas and bring urgent social change in an image-driven celebrity culture.

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)0.011
metaresearch head score (Gemma)0.025
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.089
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.025
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.004
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 head0.043
GPT teacher head0.370
Teacher spread0.327 · 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