The Destruction of Identity: Cultural Genocide and Indigenous Peoples
Bibliographic record
Abstract
International law defines genocide in terms of violence committed “with intent to destroy, in whole or in part, a national, ethnical, racial or religious group,” yet this approach fails to acknowledge the full impacts of cultural destruction. There is insufficient international discussion of “cultural genocide,” which is a particular threat to the world's indigenous minorities. Despite the recent adoption of the UN Declaration on the Rights of Indigenous Peoples, which acknowledges the rights to culture, diversity, and self-determination, claims of cultural genocide are often derided, and their indicators dismissed as benign effects of modernity and indigenous cultural diffusion. This article considers the destruction of indigenous cultures and the forced assimilation of indigenous peoples through the analytical lens of genocide. Two case studies—the federally unrecognized Winnemem Wintu tribe in northern California and the Inuit of northern Canada—are highlighted as illustrative examples of groups facing these challenges. Ultimately, this article seeks to prompt serious discussion of cultural rights violations, which often do not involve direct physical killing or violence, and consideration of the concept “cultural genocide” as a tool for human rights promotion and protection.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.024 | 0.062 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 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".