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Record W4253388609 · doi:10.31269/triplec.v10i2.384

Cultural Work as a Site of Struggle: Freelancers and Exploitation

2012· article· en· W4253388609 on OpenAlexaff
Nicole S. Cohen

Bibliographic record

VenuetripleC Communication Capitalism & Critique Open Access Journal for a Global Sustainable Information Society · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsYork University
Fundersnot available
KeywordsMarxist philosophyAutonomySurplus valueSociologyCultural capitalPerspective (graphical)Work (physics)Value (mathematics)Capital (architecture)PoliticsCultural studiesPolitical economyNeoclassical economicsSocial scienceEconomicsPolitical scienceCapitalismLawAnthropology

Abstract

fetched live from OpenAlex

This paper argues that Marxist political economy is a useful framework for understanding contemporary conditions of cultural work. Drawing on Karl Marx’s foundational concepts, labour process theory, and a case study of freelance writers, I argue that the debate over autonomy and control in cultural work ignores exploitation in labour-capital relationships, which is a crucial process shaping cultural work. To demonstrate the benefits of this approach, I discuss two methods media firms use to extract surplus value from freelance writers: exploitation of unpaid labour time and exploitation of intellectual property through aggressive copyright regimes. I argue that a Marxist perspective can uncover the dynamics that are transforming cultural industries and workers’ experiences. From this perspective, cultural work is understood as a site of struggle.

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)0.010
metaresearch head score (Gemma)0.012
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.003
Science and technology studies0.0220.108
Scholarly communication0.0250.023
Open science0.0020.023
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0040.000

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 head0.065
GPT teacher head0.436
Teacher spread0.372 · 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

Citations108
Published2012
Admission routes1
Has abstractyes

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