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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 OpenAlexaff
Florence Larocque

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.032
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0020.002
Scholarly communication0.0020.002
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2020
Admission routes1
Has abstractyes

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