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Record W2142253978 · doi:10.1163/156920611x573798

What Is Living and What Is Dead in the Marxist Theory of History

2011· article· en· W2142253978 on OpenAlexaff
Vivek Chibber

Bibliographic record

VenueHistorical Materialism · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Economy and Marxism
Canadian institutionsYork University
Fundersnot available
KeywordsMarxist philosophyWrightArgument (complex analysis)EpistemologyMaterialismHistorical materialismDeterminismDemiseSociologyPhilosophyLawPolitical scienceHistory

Abstract

fetched live from OpenAlex

Abstract During the 1980s and 1990s, the debate on the Marxist theory of history centred largely around the work of Robert Brenner’s property-relations-centred construal of it, and G.A. Cohen’s attempt to revive the classical, determinist argument. This article examines two influential arguments by Erik Wright and his colleagues, and by Alan Carling, which acknowledge important weaknesses in Cohen’s work, but which also try to construct a more plausible version of his theory. I show that the attempts to rescue Cohen are largely unsuccessful. And, to the extent that they render the argument plausible, they do so at the cost of turning it, willy-nilly, into a kind of class-struggle theory. I conclude that this spells the demise of the classical version of historical materialism, but also observe that this does not leave us with a voluntaristic understanding of history, as some of its defenders fear.

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)0.004
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.008
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0040.053
Scholarly communication0.0070.012
Open science0.0010.003
Research integrity0.0020.004
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 head0.052
GPT teacher head0.251
Teacher spread0.199 · 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 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

Citations16
Published2011
Admission routes1
Has abstractyes

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