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Record W4390585635 · doi:10.1177/13678779231223544

Platform capitalisms and platform cultures

2024· article· en· W4390585635 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueInternational Journal of Cultural Studies · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Economy and Work Transformation
Canadian institutionsConcordia University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsCapitalismNexus (standard)PrecaritySociologyState (computer science)ChinaProduction (economics)Political economyRelations of productionEconomic systemPolitical scienceEconomicsEngineeringGender studiesLawComputer science

Abstract

fetched live from OpenAlex

This article argues for a pluralization of the "platform capitalism" framework, suggesting we should think instead in terms of "platform capitalisms." This pluralization opens the way to a better account of how platforms work in different geocultural contexts, with our focus being on China, India and Japan. The article first outlines several roles the state has taken on in mediating platform capitalisms. We then signal three main axes around which to consider the implications of platform capitalisms for cultural production: state-platform symbiosis; platform precarity; and the informal-formal relation in cultural production. This short provocation, we hope, will help foreground the crucial role of the state in platform capitalisms, such that the state-culture-capitalism nexus might be better acknowledged in research on platforms and cultural production now and into the future. This is particularly important as states themselves increasingly become platform operators.

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)0.000
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 score0.834
Threshold uncertainty score0.406

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 communication0.0000.002
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 head0.046
GPT teacher head0.367
Teacher spread0.320 · 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