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Record W2107576072 · doi:10.22230/cjc.2006v31n3a1771

“EA Spouse” and the Crisis of Video Game Labour: Enjoyment, Exclusion, Exploitation, Exodus

2006· article· en· W2107576072 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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCanadian Journal of Communication · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Games and Media
Canadian institutionsSimon Fraser UniversityWestern University
Fundersnot available
KeywordsSpouseVideo gameWork (physics)SociologyPolitical scienceLabour economicsEconomicsLawEngineeringMultimediaComputer science

Abstract

fetched live from OpenAlex

The blog postings of “EA Spouse,” partner of an exhausted video game programmer, have catalyzed discussion of epidemic overwork in the digital play industry. This paper analyzes the crisis of labour in this glamorous new medium. After a brief overview of the industry and its production process, we discuss its labour conditions under four headings. “Enjoyment” examines the real pleasures game workers find at their jobs. “Exclusion” discusses the gendering of game work. “Exploitation” investigates the corporate processes that drive toward a work culture of extreme hours and the consequences game workers suffer. “Exodus” looks at current attempts by workers to escape this predicament—attempts including legal action, educational efforts, entrepreneurial flight, and union organizing.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.881
Threshold uncertainty score0.966

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 communication0.0000.000
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 head0.016
GPT teacher head0.261
Teacher spread0.245 · 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