Of liquid dreams: a political ecology of water privatization in Buenos Aires
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.012 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".