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Record W4390147635 · doi:10.1080/07078552.2023.2278002

Critical engagements with “ <i>Climate Change as Class War”</i> —class critical ecomodernism

2023· article· en· W4390147635 on OpenAlexvenueno aff
Peter Ikeler

Bibliographic record

VenueStudies in Political Economy · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Economy and Marxism
Canadian institutionsnot available
Fundersnot available
KeywordsClass (philosophy)Class conflictAgency (philosophy)SociologyClimate changeTheme (computing)OriginalitySocialismPolitical economyClass analysisState (computer science)Political scienceEpistemologyLawSocial sciencePoliticsCommunismPhilosophy

Abstract

fetched live from OpenAlex

This essay considers the import and originality of Matt Huber’s book Climate Change as Class War: Building Socialism on a Warming Planet. It identifies class critique and skillful application of the Professional-Managerial Class (PMC) concept to contemporary environmental movements as the book’s most substantive contributions, culminating in a reflective reassertion of Marxian modernism with regard to capitalist-induced climate change. It also finds lacunae in Huber’s underdeveloped theory of the state as it pertains to energy transition and in his connection (or lack thereof) between specific policy demands and working-class agency. These issues pose questions for further debate and elaboration, yet fail to overshadow the book’s generative class analysis and promising strategic proposals, which deserve widespread discussion on the activist Left. This paper is part of the SPE Special Theme “Critical Engagements with ‘Climate Change as Class War.’”

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
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 score0.967
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.005
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.002

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 head0.130
GPT teacher head0.426
Teacher spread0.295 · 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 teacher head, not a consensus.

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
Published2023
Admission routes1
Has abstractyes

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