MétaCan
Menu
Back to cohort
Record W2788238618 · doi:10.18772/22013127533

Marxisms in the 21st Century

2018· book· en· W2788238618 on OpenAlexfundno aff
Patrick Bond, Michael Burawoy, Jacklyn Cock, Daryl Glaser, Meg Luxton, Trevor Ngwane, John Ralston Saul

Bibliographic record

VenueWits University Press eBooks · 2018
Typebook
Languageen
FieldSocial Sciences
TopicPolitical Economy and Marxism
Canadian institutionsnot available
FundersRMIT UniversityUniversity of OxfordUniversity of CambridgeMcGill University
KeywordsCapitalismDemocracyMarxist philosophyGlobalizationCreativityEcological crisisFeminismField (mathematics)SociologySocial sciencePolitical scienceEnvironmental ethicsPolitical economyGender studiesLawPhilosophyPolitics

Abstract

fetched live from OpenAlex

The current resurgence of Marxism is based on new sources of inspiration and creativity from movements that seek democratic, egalitarian and ecological alternatives to capitalism. The Marxism of many of these movements is neither dogmatic nor prescriptive, but rather, open, searching, utopian. It revolves around four primary factors: the importance of democracy for an emancipatory project; the ecological limits of capitalism; the crisis of global capitalism; and the learning of lessons from the failures of Marxist-inspired experiments. Marxisms in the Twenty-First Century challenges vanguardist Marxism featured in South Africa and beyond. Featuring leading thinkers from the Left, the book offers provocative ideas on interpreting our current world and serves as an excellent introduction to new ways of thinking about Marxism to students and scholars in the field. Many anti-capitalist traditions and themes - including democracy, globalisation, feminism, critique and ecology inform and shape the contributions in this volume.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.010
Threshold uncertainty score0.074

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.018
Scholarly communication0.0070.005
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.027
GPT teacher head0.231
Teacher spread0.204 · 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
GenreOther

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
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueWits University Press eBooksSame topicPolitical Economy and MarxismFrench-language works237,207