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Record W3088602599 · doi:10.1177/1555412020961849

Hypermodern Video Games as Emblems of Empire or How the Gaming Multitude Adapts to Hypermodernity

2020· article· en· W3088602599 on OpenAlexafffund
Maude Bonenfant

Bibliographic record

VenueGames and Culture · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Games and Media
Canadian institutionsUniversité du Québec à Montréal
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsMultitudeEmpireSociologyModernityVideo gameContext (archaeology)AestheticsAnachronismHumanitiesArt historyArtEpistemologyPhilosophyHistoryPoliticsLawComputer sciencePolitical scienceMultimedia

Abstract

fetched live from OpenAlex

To demonstrate how Games of Empire (Dyer-Witheford, N., & de Peuter, G. (2009). Games of empire. Global capitalism and video games, Minneapolis: University of Minnesota) elaborated an important standpoint within critical game studies, this article discusses the thesis that a specific type of video games perfectly converges with our contemporary modes of representation and praxis, which are best situated within the paradigm of hypermodernity (Lipovetsky, G. (1983). L’ère du vide: Essais sur l’individualisme contemporain. Paris. Gallimard, coll. «Folio essais»; Lipovetsky, G. & Charles, S. (2004). Les temps hypermodernes. Paris: Bernard Grasset, «Nouveau collège de philosophie»). Hypermodernity radicalizes modernity because, within hypermodernity, values such as progress, reason, and happiness are overly ( hyper) actualized rather than surpassed ( post) (Aubert, N. (2006) (dir). L’individu hypermoderne. Toulouse: Eres, coll. «Sociologie clinique»; Giddens, A. (1990). The consequences of modernity. Stanford: Stanford University Press). Based on an archetypal account, that is, a theoretical model rather than a case study, this article will show how hypermodern video games' commercialization and use within a capitalist context are emblematic of hypermodernity. We will also evaluate how these games promote adaptation to hypermodernity toward an "ideal" becoming-player for Empire. In conclusion, if playing can be seen as the multitude's escape hatch out of the dominant order, this article will explain how hypermodern video games, as a media, may also be viewed as a key site where asymmetrical and unequal relationships replicate within Empire.

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.

How this classification was reachedexpand

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: Empirical
Teacher disagreement score0.935
Threshold uncertainty score0.370

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 studies0.0000.000
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 head0.050
GPT teacher head0.298
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2020
Admission routes2
Has abstractyes

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