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Record W4294599606 · doi:10.1177/23996544221124743

Fifty public-standpipes: Politicians, local elections, and struggles for water in Barranquilla

2022· article· en· W4294599606 on OpenAlexfundno aff
Tatiana Acevedo-Guerrero

Bibliographic record

VenueEnvironment and Planning C Politics and Space · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicWater Governance and Infrastructure
Canadian institutionsnot available
FundersInternational Development Research Centre
KeywordsPoliticsWork (physics)Duration (music)UrbanizationPower (physics)Political sciencePublic administrationSociologyPublic relationsEconomic growthEconomicsEngineeringLaw

Abstract

fetched live from OpenAlex

Throughout the late 1980s and 1990s, the Barranquilla World Bank Project aimed to expand water supply to the southwestern sector of the city, populated mainly by low-income communities. Anticipating the duration of the works, the project included a short-term solution: it would install 50 public-standpipes during the first months of implementation. Through archival work, this article tells the story of the World Bank Project and the fifty public-standpipes —which were never built. Its purpose is to analyse how water/power distributions were reworked and consolidated, highlighting tensions triggered by the project. It evidences the messiness of formal politics and the complexity of political parties (their competing interests, and the fact that these changed over time). This is of interest as it focuses on professional politics, a subject rarely touched by the political ecology literature. I argue that when examining water’s urbanization and the implementation of policy reforms in the global South, political ecology should engage in reflections about local professional politicians and party life as one that is not homogeneous nor static, where different ideas concerning water and the city emerge, clash, and converge.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.891
Threshold uncertainty score0.593

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 studies0.0010.000
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 head0.013
GPT teacher head0.241
Teacher spread0.228 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations2
Published2022
Admission routes1
Has abstractyes

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