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Record W2119198649 · doi:10.1163/156916307x230368

Mode of Production versus Mode of Information: Marx, Poster, and an Argument for Anti-Capitalist Praxis1

2007· article· en· W2119198649 on OpenAlexaff
Kevin Walby

Bibliographic record

VenueCritical Sociology · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Economy and Marxism
Canadian institutionsCarleton University
Fundersnot available
KeywordsCapitalismMarxist philosophyCapitalist mode of productionFetishismCritical theorySociologyTechnological determinismSubject (documents)Mode of productionEpistemologyCommodityLate capitalismExistentialismEnlightenmentPoliticsNeoclassical economicsSocial sciencePhilosophyProduction (economics)LawEconomicsPolitical science

Abstract

fetched live from OpenAlex

While postmodernists hurriedly negate any theories affiliated with the Enlightenment, this paper argues that Karl Marx's prescient analyses of the capitalist mode of production are still fruitful for informing transformative politics. Although questions remain as to the efficacy of Marx's work for theorizing history and the role of the subject, we should not let the freedom of Marxism that ensued after his life mar the great importance of his critique of capitalism and commodity fetishism. Mark Poster, critical cultural historian and former self-described existential Marxist, has been one of Marx's most vehement detractors in the last two decades, arguing the need to displace labour as the first analytic of critical theory. While Poster's focus on discursive and informational practices as constitutive of domination supplements Marx's original castigation of capitalism, Poster's work imports postmodernist tautologies. I argue that Poster's mode of information thesis unnecessarily obliterates a focus on modern subject formation processes, suffers from a hi-technological determinism and lacks a theory of struggle, and thus advocate a retrieval of Marx's critique of capitalism vis-à-vis Foucault's ethics of the self as a means of addressing some of the difficulties in Poster's work.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.078
Threshold uncertainty score0.531

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.036
GPT teacher head0.385
Teacher spread0.350 · 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 designTheoretical or conceptual
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

Citations10
Published2007
Admission routes1
Has abstractyes

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