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Record W2956619114 · doi:10.3390/w11071455

‘Social Control’ and the Politics of Public Participation in Water Remunicipalization, Cochabamba, Bolivia

2019· article· en· W2956619114 on OpenAlexafffund
Nasya S. Razavi

Bibliographic record

VenueWater · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicWater Governance and Infrastructure
Canadian institutionsYork University
FundersInternational Development Research Centre
KeywordsPublic participationIdeologyPoliticsSociologyTypologyCitizen journalismPublic serviceDemocracyPublic administrationPolitical economyPolitical scienceLaw

Abstract

fetched live from OpenAlex

During the Water War in 2000, residents of Cochabamba, Bolivia, famously mobilized against water privatization and gained back public control of the city’s water utility. Nearly two decades later, the water movement’s vision of democratic water provision under the participatory management of ‘social control’ remains largely unfulfilled. This paper points to the difficulties in rebuilding a strong public water service in Cochabamba, focusing on the different—and often incompatible—understandings and interpretations of public participation. Addressing the concept’s malleability to a spectrum of ideologies, this paper builds a typology of different kinds of participation according to their intentionality, outcomes, tools, and practices. Applying this framework to the water politics in Bolivia serves to untangle competing perspectives of participation, uncover whose interests are served, and which groups are included or excluded from access to water and decision-making. This analysis reveals how transformative participation has failed to take hold within the municipal service provider in Cochabamba.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.195
Threshold uncertainty score0.387

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0090.028
Scholarly communication0.0080.003
Open science0.0010.006
Research integrity0.0010.001
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 head0.014
GPT teacher head0.279
Teacher spread0.265 · 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

Citations21
Published2019
Admission routes2
Has abstractyes

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