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Record W2777182702 · doi:10.1521/siso.2018.82.1.67

On the Misappropriation of Marx's Late Writings on Russia: A Critique of <i>Marx At The Margins</i>

2017· article· en· W2777182702 on OpenAlexaff
Christopher Araujo

Bibliographic record

VenueScience & Society · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Economy and Marxism
Canadian institutionsUniversity of Winnipeg
Fundersnot available
KeywordsCommunismCapitalismContext (archaeology)DualismMarxist philosophyInterpretation (philosophy)MisappropriationPhilosophySociologyHistoryLawPolitical scienceEpistemologyPolitics

Abstract

fetched live from OpenAlex

In his late writings, Marx speculated that Russia could bypass the “necessary” stages that had defined the economic history of Western Europe. By appropriating the positive results of capitalism without traversing through the phase of negativity which produced them, the Russian commune, he claimed, could transition directly into communism. Kevin Anderson's Marx at the Margins (Anderson, 2010) defends the mistaken interpretation that Marx extended this possibility to all precapitalist societies that he studied at the time. This sort of “multilinearity” universalizes the path of development open to Russia, understating the historical context and specific social relations which, Marx argued, enabled such a transformation. Aside from its European context, the distinguishing mark of this commune was its “dualism” - a feature that endowed it with greater “historical initiative.”

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)0.009
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.012
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0080.057
Scholarly communication0.0120.010
Open science0.0010.005
Research integrity0.0050.010
Insufficient payload (model declined to judge)0.0010.001

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 head0.023
GPT teacher head0.309
Teacher spread0.286 · 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 designNot applicable
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

Citations4
Published2017
Admission routes1
Has abstractyes

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