Why Majority Rights Matter in the Context of Ethno-Cultural Diversity: The Interlinkage of Minority Rights, Indigenous Rights, and Majority Rights
Bibliographic record
Abstract
Many discussions of ethno-cultural minority rights and indigenous rights have proceeded on the assumption that such rights flow from minority status or indigenous status rather than from collective interests of these communities. This focus on marginalized identities as the source of rights held by communities implicitly excludes the possibility of rights held by majority communities. This chapter challenges such an approach and simultaneously argues for the reality of majority rights. Part 1 contextualizes the issues and introduces the chapter. Part 2 explains a first disadvantage for minorities and indigenous communities themselves in an approach focused on marginalization, which is effectively that the approach risks locking them into victimhood. Part 3 considers the particular problems of minority groups that have regional majority status and thus need majority rights. Part 4 considers the particular problems of indigenous communities that have self-governmental powers recognized and thus similarly need majority rights within their jurisdiction. Part 5 introduces the author’s broader theoretical approach to collective rights, grounded in collective interests, and commences an argument that this approach properly grounds majority rights alongside minority rights and indigenous rights. Part 6 considers the frequent challenge that majority rights will be used to diminish minority rights and presents an account of how these different categories of rights can appropriately be reconciled. Part 7 introduces several policy implications, and Part 8 offers some brief concluding thoughts. Ultimately, the chapter argues for recognizing majority rights on the same platform as minority rights and indigenous rights, though arguing for a different platform than is often used for those rights, and argues that a principled approach to all of these rights can offer a set of interlinking rights that respect all communities.
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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 | 0.007 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.041 |
| Scholarly communication | 0.010 | 0.011 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 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".