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Record W2784553030

A Vulture is Not a Dove: The Politics of Indigeneity and Resistance to Canadian Extractivism in the Americas

2017· article· en· W2784553030 on OpenAlexaffabout
Steven Schnoor

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2017
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsMcGill University
Fundersnot available
KeywordsIndigenousResistance (ecology)PoliticsGovernmentalityColonialismCapitalismDecolonizationLatin AmericansSociologyPolitical subjectivityHybridityBiopowerPolitical scienceEthnologyGender studiesAnthropologyLawEcology
DOInot available

Abstract

fetched live from OpenAlex

Canadian mining activities have exploded throughout Latin America over the past 15-20 years, bringing a host of problems and leading to burgeoning resistance movements. This paper argues that a growing strategy deployed by Canadian mining companies, and the regimes that support them, in their engagements with Indigenous communities in the Global South who are resisting extractive activities on their territories, entails cultivating Indigenous subjectivities in ways that co-opt their aspirations for decolonization, self-determination, and demands for the recognition of Indigenous rights. That energy is then channelled into supporting, indeed demanding, the very model of extractive capitalism that Canadian mining regimes wish to develop in the region. Drawing upon theories of governmentality and the work of Canadian Indigenous scholars Glen Coulthard and Taiaiake Alfred on the politics of recognition and decolonization, this paper chronicles struggles over Indigeneity as a political subjectivity through three ongoing extractive-related conflicts in Guatemala, Chile, and Panama.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.113
Threshold uncertainty score0.821

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0390.022
Scholarly communication0.0080.002
Open science0.0010.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.157
GPT teacher head0.485
Teacher spread0.328 · 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 designTheoretical or conceptual
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

Citations3
Published2017
Admission routes2
Has abstractyes

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Same venueDOAJ (DOAJ: Directory of Open Access Journals)Same topicMining and Resource ManagementFrench-language works237,207