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Indigenous Rights

2019· reference-entry· en· W4247274951 on OpenAlexaboutno aff
Sarah Sargent

Bibliographic record

VenueInternational Relations · 2019
Typereference-entry
Languageen
FieldSocial Sciences
TopicIndigenous Peoples' Rights and Law
Canadian institutionsnot available
Fundersnot available
KeywordsHuman rightsIndigenousPolitical scienceInternational human rights lawDeclarationIndigenous rightsLinguistic rightsLawFundamental rightsRight to propertyOpposition (politics)Politics

Abstract

fetched live from OpenAlex

The attention given to indigenous rights has increased since the approval of the United Nations Declaration on the Rights of Indigenous Peoples (UNDRIP) in 2007. Although it is a soft law declaration and technically not binding, it serves as the cornerstone of much of the contemporary research on indigenous rights. Four states that initially voted in opposition to the UNDRIP—Australia, Canada, New Zealand, and the United States—have now endorsed it. Despite the attention it garners, the UNDRIP is not the only international instrument that has been utilized to establish and protect indigenous rights and interests. The regional inter-American human rights system has also been key in the development and protection of indigenous rights. Another important facet of the UNDRIP is that it took twenty-two years of drafting effort before it was approved by the United Nations General Assembly. During those twenty-two years, many discussions, debates, and analyses were undertaken over the meaning of rights and principles included in the drafts of the declaration. Research and scholarship from the era before passage of the declaration is helpful in understanding the content of the document. But the approval of the declaration did not end the controversies over indigenous rights. Debate and examination of the evolving body of indigenous rights continues during the period after passage of the declaration. As well, indigenous rights are not simply “human rights”; rather, they are a complex set of rights that can impact a broad swath of other legal doctrines. Intersections of indigenous rights with laws regarding economic development, the environment, and land claims can give rise to new interpretations and understandings of the impact of indigenous rights. While the four “no states” might be what most readily comes to mind when thinking about where many indigenous peoples live, indigenous peoples are, in fact, scattered throughout the world, including Europe. Research on indigenous rights is not carried out only from a legal perspective. Indigenous rights cover many different kinds of rights. Some have an emphasis in international law doctrines, such as the right to self-determination and issues about indigenous and tribal sovereignty. Other rights emphasize the importance of culture and heritage, and it can be useful to consider research in other disciplines, including history, political science, and anthropology. This article includes research and resources in related disciplines as well as legal research and law-based resources. (A note about language: American references to indigenous peoples are inclusive of the words “American Indian” or “Indian.” “Indian” is a legal term of art used in federal and state statutes. Indigenous peoples in the United States refer to themselves as “Indians” rather than Native Americans. For these reasons, where appropriate, the article makes use of the terms American Indian and Indian in preference to Native American. This usage may be confusing to non-American readers and so a clarification is offered).

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)0.004
metaresearch head score (Gemma)0.010
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: Other · Consensus signal: Other
Teacher disagreement score0.108
Threshold uncertainty score0.361

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0080.007
Scholarly communication0.0070.006
Open science0.0020.008
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.1080.033

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 head0.022
GPT teacher head0.313
Teacher spread0.291 · 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
GenreOther

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

Citations1
Published2019
Admission routes1
Has abstractyes

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