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Record W4200115220 · doi:10.1177/19427786211044756

Many Marxisms

2021· article· en· W4200115220 on OpenAlexaff
Jim Glassman

Bibliographic record

VenueHuman Geography · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Economy and Marxism
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMarxist philosophyCapitalismClass analysisRacializationSociologyColonialismClass (philosophy)Class formationGender studiesEpistemologyPolitical sciencePoliticsPhilosophyLaw

Abstract

fetched live from OpenAlex

Revolutionary projects travelling around the world in the last century under the heading of “Marxism” have always morphed into significantly different forms, depending upon precisely where, when, and how they travelled. In this think piece honoring the career of Richard Peet, I argue that Marxism has thus been less a singular and unified phenomenon than a sprawling and variegated experience of resistance to capitalism, colonialism, and imperialism. Nonetheless, if there is one common thread in virtually all forms of Marxist thought, it is an emphasis on class. But what conception of class? I assert the centrality of class analysis to Marxist thought, albeit versions of class analysis that flexibly address the gendering and racialization of class relations along with other factors that shape and express class in given contexts. I illustrate the argument by noting the importance of Marxist class analysis to critical studies of imperialism, racism, and gender relations.

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)0.002
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 score0.012
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.020
Scholarly communication0.0080.005
Open science0.0010.004
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0120.003

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 head0.302
Teacher spread0.279 · 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

Citations1
Published2021
Admission routes1
Has abstractyes

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