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Record W2036691464 · doi:10.1163/22116427-91000014

Indigenous Self-Government in the Arctic, and their Right to Land and Natural Resources

2009· article· en· W2036691464 on OpenAlexaboutno aff
Asbjørn Eide

Bibliographic record

VenueThe Yearbook of Polar Law Online · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousNatural resourceGovernment (linguistics)Indigenous rightsArcticContext (archaeology)GlobalizationGeographyIndependence (probability theory)Political scienceHuman rightsPolitical economyDevelopment economicsLawSociologyEcologyEconomicsArchaeology

Abstract

fetched live from OpenAlex

Abstract The article examines the evolution in international law of indigenous self-government and their control over their land and resources, and explores the extent to which this is being followed up at the national level with particular emphasis on Arctic and other Northern indigenous peoples. It starts by discussing the concept of ‘indigenous peoples’, noting that most of them live in areas that have until recently been considered to be marginal by the dominant parts of society, and observes that two contradictory trends can presently be observed: On the one hand a growing pressure, in the context of expanding economic globalisation and intensification of consumption, for access to the natural resources in the areas where they live, but on the other hand a growing resistance through improved organisation by the indigenous peoples themselves and by a growing recognition of their rights under international law. The impact of this general evolution at the global level on specific cases are examined with regards to the Inuit-controlled self-government of Nunavut in Canada, the move towards full independence of Inuit-controlled Greenland, and the evolution of Sámi self-management in Sámi land of Fenno-Scandinavia.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.856
Threshold uncertainty score0.612

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.008
GPT teacher head0.263
Teacher spread0.255 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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

Citations17
Published2009
Admission routes1
Has abstractyes

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