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Record W1577373659 · doi:10.3983/twc.2012.0411

Performing self, performing character: Exploring gender performativity in online role-playing games

2012· article· en· W1577373659 on OpenAlex

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

VenueTransformative Works and Cultures · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Games and Media
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsNarrativeHuman sexualityEmpathyPsychologyPerformativityCharacter (mathematics)Social psychologyExpression (computer science)SociologyGender studiesArtComputer scienceLiterature

Abstract

fetched live from OpenAlex

Online narrative (fiction-based) role-playing games and massively multiplayer online role-playing games (MMORPGs) provide a ludic structure in which role players enact the gender and sexuality of their avatars. To investigate how role players perceive and perform their avatars' gender and sexuality in online games, I invited role players from MMORPGs and narrative RPGs to participate in an online survey. This study examines how the online game environment mediates players' self-expression and their acceptance of minority identities. Qualitative analysis of the data collected suggests that players who demonstrate empathy with and examination of their avatars' genders and sexualities, and who experience a sense of belonging within the game structure, are able to form positive interpersonal relationships that allow them to accept others' expressed identities.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.333
Threshold uncertainty score0.757

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.006
Open science0.0000.000
Research integrity0.0000.000
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 head0.045
GPT teacher head0.296
Teacher spread0.252 · 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