Indigenous Territorial Autonomy and Self-Government in the Diverse Americas
Bibliographic record
Abstract
Across the Americas, Indigenous and Afro-descendent peoples have demanded autonomy, self-determination, and self-governance. By exerting their collective rights, they have engaged with domestic and international standards on the rights of Indigenous Peoples, implemented full-fledged mechanisms for autonomous governance, and promoted political and constitutional reform aimed at expanding understandings of multicultural citizenship and the plurinational state. Yet these achievements come in conflict with national governments’ adoption of neoliberal economic and neo-extractive policies which advance their interests over those of Indigenous communities. Available for the first time in English, Indigenous Territorial Autonomy and Self-Government in the Diverse Americas explores current and historical struggles for autonomy within ancestral territories, experiences of self-governance in operation, and presents an overview of achievements, challenges, and threats across three decades. Case studies across Bolivia, Chile, Nicaragua, Peru, Colombia, Mexico, Panama, Ecuador, and Canada provide a detailed discussion of autonomy and self-governance in development and in practice. Paying special attention to the role of Indigenous peoples’ organizations and activism in pursuing sociopolitical transformation, securing rights, and confronting multiple dynamics of dispossession, this book engages with current debates on Indigenous politics, relationships with national governments and economies, and the multicultural and plurinational state. This book will spark critical reflection on political experience and further exploration of the possibilities of the self-determination of peoples through territorial autonomies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.008 | 0.019 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".