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Record W2166522855 · doi:10.1177/0486613411423895

Reconceptualizing Capitalism

2011· article· en· W2166522855 on OpenAlexaff
Raju J Das

Bibliographic record

VenueReview of Radical Political Economics · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Economy and Marxism
Canadian institutionsYork University
Fundersnot available
KeywordsCapitalismWage labourWageNeoclassical economicsProfit (economics)EconomicsCapital (architecture)Rate of profitCapital accumulationContext (archaeology)Economic systemPoliticsSociologyMarket economyPolitical scienceLaw

Abstract

fetched live from OpenAlex

This paper analyzes the nature of capitalism by critically employing Marx’s comments in Capital on forms of subsumption of labor. It argues that to the extent that property owners employ wage laborers to produce for the market for a profit, they are capitalist, even if they may not reinvest their profit in technology. In this situation, wage-labor is formally subsumed under capital. The transition from this stage to real subsumption of labor, which signifies capitalist development with technological change, is not, however, automatic, as Marx tended to assume. It is mediated by class struggle, which occurs in the context of geographically varying factors, such as state interventions. Uneven development, seen as the uneven transition to real subsumption, is partly a product of place-specific outcomes of class struggle. The paper thus emphasizes the relation between class struggle and dynamics of capitalism including technological change. The conceptual arguments are illustrated with empirical evidence from India. The implications of the arguments for radical development theory and politics are also briefly explored. JEL classification: P16, O53, O14, B24

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)0.004
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 score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0030.041
Scholarly communication0.0080.009
Open science0.0010.006
Research integrity0.0020.003
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 head0.073
GPT teacher head0.315
Teacher spread0.243 · 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

Citations59
Published2011
Admission routes1
Has abstractyes

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