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Record W4414638130 · doi:10.1007/978-3-031-95816-8_5

Seeing Through Water and Territory: Indigenous Struggles for Water Defense in Canada and Mexico

2025· book-chapter· en· W4414638130 on OpenAlexaffabout
Isabel Altamirano Jiménez, Arsenio Ernesto González Reynoso

Bibliographic record

VenueInternational political economy series · 2025
Typebook-chapter
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsIndigenousInterdependencePoliticsSituatedInternational relationsConceptual framework

Abstract

fetched live from OpenAlex

This chapter asks how we may analyze Indigenous water defense movements and how relationships among land, water, and body may help us theorize Indigenous internationalism. Focusing on the Secwepemc Tiny House Warriors in British Columbia (BC), Canada, and the United Front of Nahua Communities in Puebla, Mexico, this chapter first explores how the dynamics of capital accumulation and territorial reorganization are situated within imperialist formations. Second, using a body-land conceptual framework, it analyzes how Indigenous political practices bring the human and the more-than-human worlds as well as different struggles together. We argue that understanding Indigenous struggles to protect land and water requires paying attention to the interdependent relations that constitute Indigenous life and to how relationality manifests politically. We show that Indigenous internationalism not only involves relationships among distinctive Indigenous nations but also between humans and different elements and species that constitute Indigenous territories.

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)0.000
metaresearch head score (Gemma)0.001
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: none
Teacher disagreement score0.082
Threshold uncertainty score0.598

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0210.007
Scholarly communication0.0050.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.012
GPT teacher head0.257
Teacher spread0.245 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

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