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Record W1545852147 · doi:10.1080/17442222.2015.1034438

Indigenous Territorial Autonomy in Latin America: An Overview

2015· article· en· W1545852147 on OpenAlexaboutno aff
Miguel Ángel Rodilla González

Bibliographic record

VenueLatin American and Caribbean Ethnic Studies · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicPolitics and Society in Latin America
Canadian institutionsnot available
Fundersnot available
KeywordsLatin AmericansIndigenousAutonomyLatin American studiesPolitical scienceSociologyEthnologyGeographyMedia studiesGender studiesLaw

Abstract

fetched live from OpenAlex

Miguel GonzálezMiguel González is at the International Development Studies Program, York University, 133 Founders College, 4700 Keele Street, Toronto, ON, Canada M3J1P3 (Email: ).This paper offers an overview of indigenous territorial autonomy in Latin America, focusing on the various forms of recognition, legal characteristics, performance, and prospects in light of contemporary struggles of indigenous peoples in the region. The paper traces autonomy debates during the late 20th century and argues that interpretations about the origin, salience, and prospects of the autonomy demand rather than offer competing views complemented each other by stressing the convergence within indigenous social movements on the potential of autonomy as a platform of political, social, cultural, and territorial rights as well as an avenue for reconstituting the relationships between the state and indigenous peoples. Nevertheless, autonomy remains a contentious subject, at times illustrating substantial differences among indigenous organizations about its meaning, significance, and the best ways for realizing it. Recent constitutional reforms across the region, particularly in the Andean countries, show a new momentum for the inauguration of indigenous territorial autonomy. The paper observes that the current context is far from being conflict-free and that the developmentalist orientation, extractive-based economies which national governments across the region have endorsed, is threatening indigenous autonomy and potentially deems it irrelevant as a way for advancing indigenous rights.

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)0.001
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: Review · Consensus signal: Review
Teacher disagreement score0.064
Threshold uncertainty score0.126

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0060.014
Science and technology studies0.0020.003
Scholarly communication0.0040.003
Open science0.0010.003
Research integrity0.0010.001
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 head0.184
GPT teacher head0.430
Teacher spread0.246 · 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
GenreReview

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

Citations55
Published2015
Admission routes1
Has abstractyes

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