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Record W3195409856 · doi:10.1386/jfs_00022_1

Life Is But a Story: Female pleasure and agency in Beyoncé’s autobiographical film

2020· article· en· W3195409856 on OpenAlexaff
Stephanie Patrick

Bibliographic record

VenueThe Journal of Fandom Studies · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPleasureNarrativePersonaPortraitDreamAgency (philosophy)HollywoodMovie theaterArtAestheticsSuperstarMedia studiesSociologyVisual artsPsychologyLiteratureArt historyHumanities

Abstract

fetched live from OpenAlex

While the rise of new media has led to a blurring of stars’ public personae and private, intimate lives, the musician, in particular, has long been expected to share their private, authentic self through their music. This is certainly the case with superstar Beyoncé, whose 2016 solo album Lemonade was widely received as a revealing portrait of her marriage to hip hop mogul Jay-Z. Yet Beyoncé has long been playing with the public–private divide as a key part of her star persona. Her decision to limit media interviews has allowed her to maintain unprecedented control of her star image; an image that is now corralled through the texts that she herself circulates via her music, videos and other media. One such notable, yet under-examined text is her 2013 autobiographical film Life Is But a Dream . Both the narrative and the production of the film serve to teach audiences how to read the rest of Beyoncé’s cultural work; as work that is fully controlled by her and intended for women. This pedagogical film disrupts common readings of her image and performances as being in the service of a male gaze, thus opening up new pleasures and potentials for female fans more broadly and Black female fans more specifically. Life Is But a Dream is thus a central, rather than a periphery text in Beyoncé’s star image, complementing and complicating the work she produces across other media formats.

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: Empirical
Teacher disagreement score0.544
Threshold uncertainty score0.548

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)0.0010.000

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 head0.093
GPT teacher head0.254
Teacher spread0.161 · 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
Published2020
Admission routes1
Has abstractyes

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