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Record W2130053523 · doi:10.1177/1046878109353473

Gender, Simulation, and Gaming: Research Review and Redirections

2010· article· en· W2130053523 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

VenueSimulation & Gaming · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Games and Media
Canadian institutionsSimon Fraser UniversityYork University
FundersAmerican Association of University Women
KeywordsGender equitySet (abstract data type)InterrogationPsychologyEntertainmentSocial psychologySociologyGender studiesPolitical scienceComputer science

Abstract

fetched live from OpenAlex

This review of gender and gameplay research over the past three decades documents a set of persistent methodological repetitions that have systematically impeded its progress since the inception of this trajectory of research. The first is, in fact, a refusal to consider gender at all: Conflating gender with sex impedes possibilities to identify nonstereotypical engagements by girls and women. Second is the persistent attempt to identify sex-specific “patterns” of play and play preferences “characteristic” of girls and women mainly to support and promote these in the name of “gender equity,” whether in women’s involvement in the game industry as designers, in the development and marketing of “games for girls,” or the access and uses of digital games for education, training, and entertainment. Third, it is found that “gender” is an issue in research studies only long enough to dismiss it as a significant variable, which in turn makes any deeper critical interrogation unproductive.

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)0.002
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: none
Teacher disagreement score0.969
Threshold uncertainty score0.316

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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)0.0000.000

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 head0.182
GPT teacher head0.463
Teacher spread0.281 · 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