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Record W4403512003 · doi:10.7202/1113433ar

Affronter le confinement grâce à la modalisation des défilés de<i>RuPaul’s Drag Race</i>dans<i>Animal Crossing: New Horizons</i>

2023· article· fr· W4403512003 on OpenAlex
Élise Choquet

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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueKinephanos Revue d études des médias et de culture populaire · 2023
Typearticle
Languagefr
FieldSocial Sciences
TopicDigital Games and Media
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsRace (biology)New horizonsDragHumanitiesArtPhysicsSociologyGender studiesAstronomy

Abstract

fetched live from OpenAlex

Le succès instantané que connut Animal Crossing: New Horizons au début de la pandémie, en mars 2020, incita plusieurs chercheur⋅se⋅s à se demander dans quelle mesure ce jeu servit, pour certain⋅e⋅s joueur⋅se⋅s, de remède aux désagréments causés par la pandémie, grâce à son environnement et son avatar modulables favorisant notamment la liberté de création, les interactions sociales et l’expression identitaire. Cet article illustre ces diverses fonctions positives jouées par AC:NH durant la pandémie et les paramètres du jeu qui les rendent possibles à partir d’une étude de cas, soit celle de l’organisation, par un joueur nommé Jou, d’un défilé en hommage à l’émission RuPaul’s Drag Race sur son île durant le confinement . Cette étude de cas s’appuie sur l’analyse de son récit phénoménologique et l’analyse du matériel produit durant l’évènement à la lumière de la théorie des cadres de Goffman et des théories sur la performance de Goffman et Butler.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.803
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0020.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.055
GPT teacher head0.330
Teacher spread0.275 · 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