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Record W4318827073 · doi:10.15173/glj.v14i1.5074

Water Grabbing, Capitalist Accumulation and Resistance: Conceptualising the Multiple Dimensions of Class Struggle

2023· article· en· W4318827073 on OpenAlexvenueno aff
Andreas Bieler, Madelaine Moore

Bibliographic record

VenueGlobal Labour Journal · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Economy and Marxism
Canadian institutionsnot available
Fundersnot available
KeywordsCapitalismOppressionReproductionExpropriationClass conflictSociologyMarxist philosophyResistance (ecology)ProletarianizationClass formationSocialismPolitical economyPolitical scienceCommunismLawPoliticsEcology

Abstract

fetched live from OpenAlex

The purpose of this article is to reflect on how we can conceptualise the multiple types of struggles over water. Through a historical materialist engagement with social reproduction theorists, post-colonial interventions and eco-socialism, we argue that capitalist reproduction not only depends on the exploitation of wage labour but also the expropriation of nature and people along different forms of oppression. By focusing on historical processes and the intertwined dynamics necessary for capitalist reproduction, we reveal the internal relations of these struggles to each other and to global capitalism. Moreover, by putting forward a conceptual and methodological guide for how to approach water struggles relationally, we can point to the anti-systemic potential of these struggles. We argue that the diversity of protesters apparent in struggles against water grabbing captures internally related and mediated forms of class struggle, where the terrain of class struggle is inclusive of the whole social factory. KEYWORDS: Class struggle; exploitation; expropriation; primitive accumulation; water grabbing; incorporated comparison

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)0.003
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: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0050.061
Scholarly communication0.0090.010
Open science0.0010.007
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.038
GPT teacher head0.325
Teacher spread0.287 · 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

Citations15
Published2023
Admission routes1
Has abstractyes

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