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Record W3012103545 · doi:10.4000/ideas.7724

Who Fought For Water and What Did They Fight For? A Comparative Analysis of Open Water Conflicts in Four South American Countries between 2000 and 2011

2020· article· en· W3012103545 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

VenueIdeAs · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicWater Governance and Infrastructure
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsOpen waterPolitical scienceDevelopment economicsEconomicsGeologyOceanography

Abstract

fetched live from OpenAlex

Water conflicts have mostly been studied by focusing on case studies or by comparing conflicts sharing a common issue (like privatization of water services, mining contamination or management of water services). This article takes a different standpoint by at once considering water as a unique and multidimensional object of conflict. Its first main contribution is to present an overview of open social conflicts related to (any dimension of) water that took place in Argentina, Chile, Bolivia and Peru between January 2000 and December 2011. This overview is useful to put in perspective in-depth studies of specific conflicts and the rise of “water crises” in the 2010s. Second, the article contributes to the understanding of how and why the actors mobilizing and the dimensions of water under conflict vary overtime and between countries. The empirical analysis builds on a systematic double review of the chronologies of social conflicts published by the Observatorio Social de América Latina of the Consejo Latinoamericano de Ciencias Sociales (CLACSO).

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.670
Threshold uncertainty score0.706

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.049
GPT teacher head0.325
Teacher spread0.276 · 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