Indigenous peoples and the modern state
Bibliographic record
Abstract
1 Preface 2 Part I: Indigenous Identity and the State 3 Chapter 1: Rethinking Native Relations with Contemporary Nation-States 4 Chapter 2: Crossing Borders/Border Crossings: Native American Identity 5 Chapter 3: Status Indian: Who Defines You? 6 Chapter 4: Discussion of Indigenous Identity and the State 7 Part II: Culture and Economics 8 Chapter 5: The Culture of Leadership: Indigenous Leadership in a Changing Economy 9 Chapter 6: Doing our Share: Employment and Entrepreneurship in Canada's Aboriginal Community 10 Chapter 7: Discussion of Culture and Economics 11 PART III. Trilateral Discussions: Canada, the United States and Mexico 12 Chapter 8: We Come to Ask for Justice, Not Crumbs 13 Chapter 9: Competing Narratives: Barriers Between Indigenous Peoples and the Canadian State 14 Chapter 10: The Mayan Quest for Pluricultural Autonomy in Mexico and Guatemala 15 Chapter 11: Indigenous, Cosmopolitan, and Integrative Medicine in the Americas 16 Chapter 12: Discussion of Trilateral Exchanges between Canada, the United States and Mexico 17 Index 18 About the Authors
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 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".