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Record W4290702616 · doi:10.3998/mij.1181

Global Localities of Game Production

2022· article· en· W4290702616 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

VenueMedia Industries · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Games and Media
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsStyle (visual arts)GeopoliticsStudioMargin (machine learning)Span (engineering)IntermediaryClass (philosophy)Production (economics)The artsPolitical scienceSociologyMedia studiesBusinessArtMarketingVisual artsEngineeringEconomicsPoliticsLawComputer science

Abstract

fetched live from OpenAlex

Accounts of digital game production are increasingly at the forefront of how we document and theorize conditions and transformations of how cultural media are produced, regulated, distributed, marketed, and consumed. These accounts have typically examined games as a global industry that coexists with and contributes to the formation of national industries, including publisher and studio formations, geopolitics, tax breaks and credits, regional regulatory frameworks, and cultural sovereignty. This introduction to the special issue “Local Game Production” reasserts the analytical value in using locality as an entry point for the study of digital game production. The special issue offers four articles that confront economic, labour, and technical formations in game production, and expose the encounters of localities with globalization. These articles reveal why considerations of the local are critical in understanding the wider infrastructures, governance frameworks, and economies that shape the production of culture through global games. Each article underscores the inequities in how game production localities leverage power via platforms, nation-states and economic regions, and predominant cultural activities.

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)0.001
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 score0.836
Threshold uncertainty score0.464

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0000.000
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 head0.040
GPT teacher head0.283
Teacher spread0.243 · 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