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Record W2575720845 · doi:10.1163/15718115-02401001

Recognition of Indigenous Land Rights in Norway and Canada

2016· article· en· W2575720845 on OpenAlexaffabout
Øyvind Ravna, Nigel Bankes

Bibliographic record

VenueInternational Journal on Minority and Group Rights · 2016
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsIndigenousLegislaturePolitical scienceEthnic groupLand rightsIndigenous rightsLawConstitutionResource (disambiguation)GeographyEthnologyHuman rightsSociologyEcology

Abstract

fetched live from OpenAlex

Many states offer constitutional protection to the traditional lands of indigenous peoples. International treaties protecting ethnic minorities and indigenous peoples also require protection of the rights of indigenous communities with respect to traditional territories. States have followed different routes in identifying the ownership and resource rights of indigenous communities. In Norway, the Courts have traditionally applied the rules on prescription and immemorial usage, developed through centuries in the farming societies of Scandinavia. The legislature has chosen to follow the same approach in the Finnmark area of Norway under the terms of the Finnmark Act (2005). By contrast, in Canada, a settled colony with an English common law tradition, the Courts have developed a sui generis approach to the recognition of Aboriginal title. This article examines the rules for identifying and legally recognising the traditional lands of indigenous people in Norway and Canada with a view to reflecting on similarities and differences.

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)0.003
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.118
Threshold uncertainty score0.859

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0150.006
Scholarly communication0.0070.001
Open science0.0020.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.019
GPT teacher head0.304
Teacher spread0.285 · 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 designObservational
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

Citations10
Published2016
Admission routes2
Has abstractyes

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