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Record W2521276364 · doi:10.1177/1527476416669234

Perverting Play: Theorizing a Queer Game Mechanic

2016· article· en· W2521276364 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

VenueTelevision & New Media · 2016
Typearticle
Languageen
FieldPsychology
TopicSexuality, Behavior, and Technology
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsQueerAffordanceQueer theorySociologySpace (punctuation)AestheticsGender studiesGame studiesMedia studiesArtComputer scienceHuman–computer interaction

Abstract

fetched live from OpenAlex

This article argues the possibility of building not just a queer gaming experience but rather a queer game mechanic—that is, a game whose very structure of play can be theorized as queer. It presents the prototype game Go Queer, a locative media history app, as a theoretical experiment in what it might mean to play queer. Queer theorists and historiographers have demonstrated the intimate relation between queer subjects and the city; the game literalizes this dynamic, requiring players to travel the physical spaces of the city in the hopes that they will encounter queer history—now disappeared, redeveloped, forgotten. It proposes that a productive and underrepresented setting for queer play is the space of the city itself and that the hybrid reality of locative media provides particular affordances to enable particularly queer navigations, occupations, and constructions of queer urban space.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.810
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.003

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 head0.050
GPT teacher head0.334
Teacher spread0.284 · 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