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Record W4401467911 · doi:10.1177/13678779241268078

Struggling with platforms: Marxist identities, cultural production, and everyday work in Brazil

2024· article· en· W4401467911 on OpenAlexaff
Issaaf Karhawi, Rafael Grohmann

Bibliographic record

VenueInternational Journal of Cultural Studies · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Economy and Work Transformation
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMarxist philosophySociologyWork (physics)Production (economics)Gender studiesAestheticsMedia studiesPolitical scienceArtPoliticsEngineeringEconomicsLaw

Abstract

fetched live from OpenAlex

This article analyzes how Marxist platform-dependent cultural producers in Brazil - one woman and two drag queens - navigate platform spaces in relation to their identities and everyday work. Struggling with platforms refers to the specific ways in which Marxist cultural producers seek to engage in class struggles, while also grappling with the constraints imposed by platforms. There are paradoxes, tensions and frictions in these efforts. In analytical terms, the article develops how this ‘struggling with platforms’ occurs in two main dimensions: (1) struggling with identities – including the implications of being a Marxist cultural producer on platforms and how one's identity is shaped and commodified in this space, and (2) struggling with everyday work – considering how the pursuit of social change is both constrained and enabled on platforms.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.038
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0120.018
Scholarly communication0.0070.005
Open science0.0010.010
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.029
GPT teacher head0.336
Teacher spread0.307 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2024
Admission routes1
Has abstractyes

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