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Record W4233403965 · doi:10.1057/9780230102279_1

Introduction

2009· book-chapter· en· W4233403965 on OpenAlexaboutno aff
J. Marshall Beier

Bibliographic record

VenuePalgrave Macmillan US eBooks · 2009
Typebook-chapter
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsGeneral assemblyDeclarationRatificationIndigenousPolitical scienceHuman rightsCommissionSummitPublic administrationIndigenous rightsLawPoliticsGeographyCartography

Abstract

fetched live from OpenAlex

On September 13, 2007, the United Nations General Assembly voted to adopt the UN Declaration on the Rights of Indigenous Peoples, a historic development more than two decades in the making. Though its genealogy is complicated, the origins of the Declaration can be traced at least to the 1982 founding of the Working Group on Indigenous Populations (WGIP) through the UN Economic and Social Council. The process was, by any measure, a slow one. Even after it was approved by the UN Sub-Commission on the Prevention of Discrimination and Protection of Minorities in 1994, twelve more years passed before the then-"Draft" Declaration was adopted by the UN Human Rights Council in June 2006, a step necessary before it could be put before the General Assembly for ratification. In the end, a clear majority of member states voted for adoption of the Declaration. While eleven of those with representatives present for the vote abstained, more noteworthy was the circumstance that the only four votes cast against adoption came from settler states with large Indigenous populations: Australia, Canada, New Zealand, and the United States. Notwithstanding this, however, the Declaration is widely regarded as a watershed development signaling a qualitative change in the fraught history of relations between Indigenous peoples and states at the global level.KeywordsIndigenous PeopleInternational RelationGlobal GovernanceIndigenous WomanSettler StateThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.726
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.005

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 head0.029
GPT teacher head0.308
Teacher spread0.279 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
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
Published2009
Admission routes1
Has abstractyes

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