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Record W3096638672

Rethinking water corporatisation: A 'negotiation space' for public and private interests, Colombia (1910-2000)

2018· article· en· W3096638672 on OpenAlexaff
Kathryn Furlong, Tatiana Acevedo-Guerrero, J S Francisco Arias, Carvajal Sánchez

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicWater Governance and Infrastructure
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsNegotiationPublic administrationSpace (punctuation)Public spaceEnvironmental planningBusinessPolitical scienceGeographyEngineeringLawArchitectural engineeringComputer science
DOInot available

Abstract

fetched live from OpenAlex

As part of neoliberal reforms to public service delivery, the corporatisation of water supply has been of increasing concern since the late 1990s. Typically, both promoters and detractors frame it within neoliberal theory: it is the next best (or worst) thing to privatisation, enabling the ostensibly independent, commercial and technical management of utilities. In Colombia, however, city-owned water supply corporations are far from new. They were adopted across the country’s main cities at the beginning of the 20th century. Colombia’s century-long experience with corporatised water supply is instructive. The case reveals a model that emerged in the context of challenges common to Southern cities, rather than as a 'solution' imposed from the North, the deep inter-linkages between public and private sectors in the evolution of publicly owned corporations and thus the limited nature of utility autonomy under corporatisation. In sum, corporatisation – imagined as a technology for the 'government of government' – cannot escape the shifting social realities in which it is immersed. It therefore emerges as a technology not for the excising of government authority but for the negotiation of public and private interests in (and influence over) utility services in contexts of relatively limited government autonomy from the private sector.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.322
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0030.005
Open science0.0010.000
Research integrity0.0000.000
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 head0.254
GPT teacher head0.510
Teacher spread0.256 · 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 teacher head, not a consensus.

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

Citations5
Published2018
Admission routes1
Has abstractyes

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