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Record W2791597651 · doi:10.1177/1555412018755913

“The Entrepreneurial Gamer”: Regendering the Order of Play

2018· article· en· W2791597651 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueGames and Culture · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Games and Media
Canadian institutionsOntario Tech UniversityYork University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsParallelsEmbodied cognitionVideo gameOrder (exchange)Field (mathematics)Game studiesSociologyAestheticsMedia studiesEpistemologyMultimediaComputer scienceBusinessArtEconomics

Abstract

fetched live from OpenAlex

The designation "gamer" is structurally bound to networked economies of digital play that are rewarded fiscally, socially, and publically, an order of play that is proving difficult to overturn. That girls and women have enjoyed at best marginal positions within video game cultures is by now well recognized, yet at the very same time is too easily dismissed in light of persuasively documented increases in the numbers of women who play. This article traces a large-scale transformation of ludic engagement from participation to spectatorship that parallels the professionalizing and commodifying of traditionally embodied sports, games, and play to demonstrate how new and emerging economies of gameplay, far from opening up the playing field, threaten a further entrenchment of gendered relations.

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: none
Teacher disagreement score0.935
Threshold uncertainty score0.215

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 studies0.0000.001
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 head0.011
GPT teacher head0.268
Teacher spread0.256 · 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