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Record W2900486445

The Ambiguity of Community: Debating Alternatives to Private-Sector Provision of Urban Water Supply

2009· article· en· W2900486445 on OpenAlexafffund
Karen Bakker

Bibliographic record

VenueDigital Library Of The Commons Repository (Indiana University) · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicWater Governance and Infrastructure
Canadian institutionsUniversity of British Columbia
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsAmbiguityEnvironmental planningWater sectorBusinessWater supplyPrivate sectorNatural resource economicsEnvironmental resource managementEconomicsGeographyEnvironmental scienceEconomic growthEnvironmental engineeringComputer science
DOInot available

Abstract

fetched live from OpenAlex

The concept of community has become increasingly important in debates over alternatives to privatisation, and is invoked by both proponents and opponents of private sector provision of water supply. This paper presents a critique of the concept of community water supply when it is invoked as an alternative to privatisation. The analysis presents a typology of proposals for community ownership and governance of water supply, and proceeds to critique some of the flawed assumptions in the concepts of community deployed in these proposals, together with references to more general debates about the viability of the 'commons' as enacted through community-controlled water supply systems. The paper closes with a brief discussion of the future evolution of the debate over 'community' alternatives to privatisation, focusing on water supply.

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)0.023
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.023
Threshold uncertainty score0.121

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0230.025
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0100.073
Scholarly communication0.0120.014
Open science0.0020.013
Research integrity0.0080.007
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 head0.008
GPT teacher head0.197
Teacher spread0.189 · 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 designQualitative
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

Citations149
Published2009
Admission routes2
Has abstractyes

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