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Record W2123359483 · doi:10.7557/23.5969

Theorizing gender and digital gameplay: Oversights, accidents and surprises

2008· article· en· W2123359483 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEludamos Journal for Computer Game Culture · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Games and Media
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsSurpriseNothingRepetition (rhetorical device)IdeologyConjunction (astronomy)HegemonyAccident (philosophy)SociologyPsychologySocial psychologyGender studiesAestheticsEpistemologyPolitical sciencePoliticsLawArt

Abstract

fetched live from OpenAlex

This paper attempts to tell a story of a different kind about gender and digital gameplay. Resisting the repetition of stereotypes about who plays, how and why, we show how, as researchers, our own assumptions and presumptions about gender keep surprise at bay, enforcing instead "findings" that solidify an inner "truth" about gender. Re-citing hegemonic gender ideologies that tell us nothing we don't already know, we argue here, is no accident. Rather than recurring encounters with the all-too-familiar, we are entitled to expect to be surprised by the research we do, and more serious interpretive work, in conjunction with alternative methodologies, promise very different findings than those hitherto attributed to women and girls playing games.

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)0.000
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 score0.796
Threshold uncertainty score0.730

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 communication0.0010.001
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 head0.038
GPT teacher head0.295
Teacher spread0.257 · 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