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Record W4405531859 · doi:10.4000/12yfs

Barbie et ses anti-fans

2024· article· fr· W4405531859 on OpenAlexaff
Dominique Gagnon

Bibliographic record

VenueQuestions de communication · 2024
Typearticle
Languagefr
FieldArts and Humanities
TopicFrench Historical and Cultural Studies
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsArtHumanitiesFandomLiterature

Abstract

fetched live from OpenAlex

Résumé : Le film Barbie de Greta Gerwig s’est imposé en tant que phénomène culturel marquant, tant au box-office que dans l’imaginaire collectif. Cet amour pour le film ne fait pourtant pas l’unanimité. En effet, certains anti-fans s’y opposent. D’un côté, des anti-fans antiféministes considèrent le film comme étant trop féministe ; de l’autre, des anti-fans féministes croient que l’utilisation de la pensée féministe dans le film de G. Gerwig est insuffisante. L’analyse inductive de dix vidéos YouTube d’anti-fans antiféministes et dix vidéos de féministes permet de comparer ces deux types d’anti- fandom .

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.094
Threshold uncertainty score0.188

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0070.006
Scholarly communication0.0050.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0180.002

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 head0.046
GPT teacher head0.282
Teacher spread0.236 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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
Published2024
Admission routes1
Has abstractyes

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