MétaCan
Menu
Back to cohort

Privatizing Social Reproduction: The Primitive Accumulation of Water in an Era of Neoliberalism

2008· article· en· W2085202267 on OpenAlexafffund
Adrienne Roberts

Bibliographic record

VenueAntipode · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicWater Governance and Infrastructure
Canadian institutionsYork University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsCommodificationNeoliberalism (international relations)ReproductionSocial reproductionSociologyRelations of productionPolitical economyEnvironmental ethicsCorporate governanceEconomic systemPolitical scienceSocial sciencePoliticsEconomicsEconomySocial capitalEcologyBiologyLaw

Abstract

fetched live from OpenAlex

Abstract: Recent years have witnessed a resurgence of critical works seeking to extend Karl Marx's radical understanding of “primitive accumulation” in order to describe the increasing penetration of capital into new spaces and social relations in the contemporary era of neoliberal globalization. This paper will argue that the intensification of the commodification of water may be understood as an ongoing mechanism of primitive accumulation and that this process generates contradictions and tensions not solely for capitalist relations of production, but more crucially, for relations of social reproduction. Further, while recent years have witnessed the emergence of a new discourse on water governance that advocates a more active role for governments in the water sector and for the incorporation of the “voices” of women and the poor in the development of sustainable and equitable water policies, this new discourse ultimately remains informed by neoliberalism's individualist ontology and its material and discursive dedication to economic growth above broader social considerations.

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)0.005
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.074
Scholarly communication0.0080.008
Open science0.0010.008
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.083
GPT teacher head0.344
Teacher spread0.261 · 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 designObservational
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

Citations157
Published2008
Admission routes2
Has abstractyes

Explore more

Same venueAntipodeSame topicWater Governance and InfrastructureFrench-language works237,207