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Record W2069753833 · doi:10.1177/0163443707081700

Playing on the digital commons: collectivities, capital and contestation in videogame culture

2007· article· en· W2069753833 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 Culture & Society · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Games and Media
Canadian institutionsWestern University
Fundersnot available
KeywordsCommonsReproductionVideo gameRelation (database)SubversionDigital mediaCommoditySociologyParticipatory cultureCapital (architecture)Media studiesBusinessMultimediaPolitical scienceComputer scienceWorld Wide WebPoliticsVisual artsLawArt

Abstract

fetched live from OpenAlex

This article examines the complex relation of commodity and commons regimes in video and computer game culture. Digital play is today both a multibillion business and the site of numerous ‘do it yourself’ practices of production and reproduction, ranging from warez networks and abandonware archives through ‘modding’ (game modification) and machinima-making to the player-created content of massively multiplayer online games. Such practices are variously symbiotic with and antagonistic to commercial gaming. They are the occasion of extraordinary cooperative arrangements between game developers and players, and of fierce disputes over intellectual property. In both cases, video and computer games reveal the subversion of ‘unidimensional’ media institutions, positing sharp distinction between producers and consumers, by an emergent ‘multidimensionality’ of new media in which these roles are deeply confounded.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.414
Threshold uncertainty score0.383

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 science0.0000.000
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 head0.017
GPT teacher head0.264
Teacher spread0.247 · 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