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Record W4415788091 · doi:10.1177/04866134251366705

Imperialism in Marx, the Marxist Tradition, and Today

2025· article· en· W4415788091 on OpenAlexaff
Radhika Desai

Bibliographic record

VenueReview of Radical Political Economics · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Economy and Marxism
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsCapitalismMarxist philosophyChinaExtension (predicate logic)GeopoliticsSurrenderValue (mathematics)Capitalist system

Abstract

fetched live from OpenAlex

At the close of the first quarter of the twenty-first century, capitalism’s productive weakness and the challenge of socialist China are sending the imperial countries in a paroxysm of aggression, economic and military. Dominant approaches like “globalization” and “empire,” which also claimed many Marxist theorists, are manifestly discredited. Thanks to a more than century-long surrender to neoclassical economics, Marxists are divided between those who deny the theoretical link between capitalism and imperialism and those who have forsaken Marx and Engels’s work as a guide to theorizing that link and proceed eclectically. Building on the author’s previous work, this article, a revision and extension of her 2025 David Gordon Memorial Lecture, returns to Marx and Engels’s original theorization of capitalism as contradictory value production as the basis for explaining its link to imperialism and resistance to it. It lays bare the geopolitical economy of what Marx called “the relations of producing nations” to explain the current conjuncture of multipolarity and the historical possibilities contained in it. JEL Classification : B14, B24, B51, F54

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)0.001
metaresearch head score (Gemma)0.002
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 score0.007
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.016
Scholarly communication0.0040.004
Open science0.0000.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.014
GPT teacher head0.302
Teacher spread0.289 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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