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Enregistrement W3109284132 · doi:10.1353/llt.2020.0059

Marx at the Arcade: Consoles, Controllers, and Class Struggle by Jamie Woodcock

2020· article· en· W3109284132 sur OpenAlexvenueno aff
Robert MacDougall

Notice bibliographique

RevueLabour / Le Travail · 2020
Typearticle
Langueen
DomaineSocial Sciences
ThématiquePolitical Economy and Marxism
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésWoodcockAlienationMedia studiesClass (philosophy)SociologyCapitalismMarxist philosophyIsolation (microbiology)AdvertisingVisual artsArtPoliticsComputer scienceLawPolitical scienceArtificial intelligenceBusiness

Résumé

récupéré en direct d'OpenAlex

Reviewed by: Marx at the Arcade: Consoles, Controllers, and Class Struggle by Jamie Woodcock Robert MacDougall Jamie Woodcock, Marx at the Arcade: Consoles, Controllers, and Class Struggle (Chicago: Haymarket Books 2019) Video games, computer games, electronic games—whatever we decide to call them, these games may be the paradigmatic media of 21st-century capitalism. Born in the interstices of the Cold War military-industrial complex, video games have become a colossal, planet-spanning industry. They form a global commodity chain, built on both immaterial digital labour and the all-too-material exploitation of human bodies and natural resources. And they are a laboratory for training workers and consumers, monetizing deep psychological drives and colonizing hours of our attention. Jamie Woodcock's Marx at the Arcade is a short, readable book that aims to analyze video games from a Marxist point of view. A lifelong gamer, a digital labor organizer, and a sociologist of work, Woodcock is well qualified for this task. To write his first book, Working the Phones: Control and Resistance in Call Centres, Woodcock worked undercover in a non-unionized telemarketing call centre, chronicling the isolation and alienation of its workers and their surveillance and control by the employer. In Marx at the Arcade, he draws on history, sociology, and Marxism to investigate video games as industry, commodity, and pastime. (He does not quite resolve the debate over what to call these games: opting for "videogames" in the text of his book but "video games" on the back cover.) Woodcock is active in efforts to unionize the game industry in the United Kingdom, and he is so clearly one of the good guys that it seems churlish to find fault with this well-meaning, enjoyable book. He makes a bit more to-do than is probably warranted about the incongruity of juxtaposing Marx and video games; applying a Marxist analysis to the game industry actually makes perfect sense. Indeed, the juxtaposition has been made before, and deeper analysis can be found in works like Nick Dyer-Witherford and Greig de Peuter's Games of Empire or Christian Fuchs' Digital Labour and Karl Marx. But Marx at the Arcade offers an accessible entry to the intersection of video games and Marxism, and Woodcock is an amiable guide to the territory. It is not a criticism to say that this is an entry-level book. But it must be asked: who is Marx at the Arcade for? Labour historians who read it won't learn much about Karl Marx that they didn't already know; dedicated gamers who read it won't learn much about video games. So is Marx at the Arcade an introduction to Marx for gamers, or an introduction to video games for Marxists? One might think there would be more to be gained by writing the former, both in book sales and political impact. But despite a few [End Page 218] moves in that direction, this book primarily concerns itself with the latter. The book's strongest section is what Marx would have called a "workers' inquiry" into the software side of the game industry: the exploitation of underpaid and precarious labor, the punishing practice of "crunch time" (the industry's term for long hours worked in game development), and the widespread use of nondisclosure agreements to prevent workers from talking about their work. Woodcock draws a damning portrait of an industry with an utter disregard for the well-being of its workers, one that pretends work is play and uses its own workers' love for video games to exploit them. The last chapter of this section, the "what is to be done?" discussion that is so often vague and disappointing in books of this kind, is refreshingly concrete. Woodcock describes the efforts of groups like Game Workers Unite and Tech Workers Coalition to unionize the game industry and sees reason for real optimism in their progress. The second half of Marx at the Arcade, which turns to analyzing video games themselves, is a little disappointing. Not that a Marxist analysis of video game play is not worthwhile—quite the contrary. It's just that the findings here will feel obvious to anyone familiar with...

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,003
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,028
Score d'incertitude au seuil0,092

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,003
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,002
Études des sciences et des technologies0,0050,005
Communication savante0,0080,008
Science ouverte0,0010,003
Intégrité de la recherche0,0030,005
Charge utile insuffisante (le modèle a refusé de juger)0,0280,006

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,015
Tête enseignante GPT0,238
Écart entre enseignants0,222 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreSynthèse

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2020
Routes d'admission1
Résumé présentoui

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Même revueLabour / Le TravailMême sujetPolitical Economy and MarxismTravaux en français237 207