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Record W2010987333 · doi:10.1177/095624780101300215

Of liquid dreams: a political ecology of water privatization in Buenos Aires

2001· article· en· W2010987333 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEnvironment and Urbanization · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicWater Governance and Infrastructure
Canadian institutionsQueen's University
Fundersnot available
KeywordsSeweragePoliticsAgency (philosophy)Context (archaeology)Government (linguistics)SanitationOrder (exchange)Political ecologyPolitical scienceBusinessPolitical economyEconomyEconomicsFinanceSociologyGeographyEngineeringSocial scienceEnvironmental engineering

Abstract

fetched live from OpenAlex

The privatization of water and sanitation in Buenos Aires has been hailed by its neo-liberal proponents as an unprecedented success. This paper takes a deeper and more critical look than many of these accounts. It looks at political and economic changes within Argentina in order to explain the troubling findings regarding the performance of Aguas Argentinas, the private company that won the concession for most of Buenos Aires. The paper begins with a brief overview of the political and economic context in Argentina before describing the process involved in the water privatization in Buenos Aires. It then discusses the outcomes, including changes in coverage and charges to end users as well as impacts on labour and the environment. The paper describes how the promised reduction in water tariffs did not materialize (in fact the opposite occurred) and how agreed-upon targets for expanding sewerage connections and sewage treatment were not met. It also describes how the national government intervened to support the water company in conflicts with the regulatory agency and even by-passed the regulatory agency when the water company wanted to renegotiate the contract. Finally, the role of international financial institutions in this process is discussed.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.058
Threshold uncertainty score0.314

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.006
GPT teacher head0.208
Teacher spread0.203 · 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