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Record W1550076712 · doi:10.18584/iipj.2012.3.3.5

Contested Territories: Water Rights and the Struggles over Indigenous Livelihoods

2012· article· en· W1550076712 on OpenAlexvenueno aff
Rutgerd Boelens, Bibiana Duarte-Abadía, Rossana Manosalvas, Patricio Mena, Tatinana Roa Avendaño, Juana Vera

Bibliographic record

VenueInternational Indigenous Policy Journal · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicWater Governance and Infrastructure
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousLivelihoodIndigenous rightsCONTESTPolitical scienceGeographyEconomic growthEnvironmental protectionAgricultureEcologyLawEconomics

Abstract

fetched live from OpenAlex

This paper examines the threats to Indigenous water rights and territories in the Andean countries. It analyzes how water and water rights are embedded in Indigenous territories, and how powerful actors and intervention projects tend to undermine local societies and indigenous livelihoods by developing large-scale water infrastructure. Three cases illustrate the encroachment process. In Colombia, the Embera Katio people’s water territory is colonized by a large-scale hydropower development project. In Ecuador, large-scale drinking water development for megacities aims the water belonging to the Oyacachi community’s indigenous highland territory. In Peru, communal water rights of the Colca Valley indigenous peasantry are under threat because of large-scale irrigation development. As the cases show, Indigenous peoples and communities actively contest the undermining and subordination of their water and territorial rights through a myriad of multi-scalar livelihood defense strategies. The challenges that indigenous peoples face to defend their water-based livelihoods are, however, enormous and growing every day.

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)0.003
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.027
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.047
Scholarly communication0.0060.006
Open science0.0010.006
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.010
GPT teacher head0.302
Teacher spread0.293 · 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 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

Citations46
Published2012
Admission routes1
Has abstractyes

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