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The “Commons” Versus the “Commodity”: Alter‐globalization, Anti‐privatization and the Human Right to Water in the Global South

2007· article· en· W2122540403 on OpenAlexaff
Karen Bakker

Bibliographic record

VenueAntipode · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicWater Governance and Infrastructure
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsGlobalizationCommonsCorporate governanceCommodityConceptual frameworkIndigenousCounterpointPolitical economyPolitical scienceSociologyEconomicsEconomic systemMarket economySocial scienceLawManagementEcologyBiology

Abstract

fetched live from OpenAlex

Abstract: In response to the growth of private sector involvement in water supply management globally, anti‐privatization campaigns for a human right to water have emerged in recent years. Simultaneously, alter‐globalization activists have promoted alternative water governance models through North‐South red‐green alliances between organized labour, environmental groups, women's groups, and indigenous groups. In this paper, I explore these distinct (albeit overlapping) responses to water privatization. I first present a generic conceptual model of market environmentalist reforms, and explore the contribution of this framework to debates over ‘neoliberalizing nature’. This conceptual framework is applied to the case of anti‐privatization activism to elucidate the limitations of the human right to water as a conceptual counterpoint to privatization, and as an activist strategy. In contrast, I argue that alter‐globalization strategies—centred on concepts of the commons—are more conceptually coherent, and also more successful as activist strategies. The paper concludes with a reiteration of the need for greater conceptual precision in our analyses of neoliberalization, for both academics and activists.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.039
Scholarly communication0.0040.003
Open science0.0000.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.012
GPT teacher head0.290
Teacher spread0.278 · 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 designNot applicable
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

Citations761
Published2007
Admission routes1
Has abstractyes

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