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Record W7006605967

Urfolks selvbestemmelse og demokratiets rolle. Institusjonalisering av rettigheter og representasjon

2023· article· en· W7006605967 on OpenAlexaboutno aff

Bibliographic record

VenueDuo Research Archive (University of Oslo) · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousPoliticsState (computer science)Representation (politics)Ethnic groupTerritoriality
DOInot available

Abstract

fetched live from OpenAlex

Indigenous politics is a result of the human rights revolution after World War II, and the mobilization by ethnic groups for recognition, equality, and influence over their own situation. In the last 30 years, the awareness of the right to self-determination has given new impetus and content to how the relationship between indigenous peoples and the state should be. As part of this deep-going change, the question of how indigenous peoples institutionalize themselves as a political community with legitimate representation has become increasingly important and challenging. This article analyzes structural constellations that define the opportunity space of modern indigenous politics, exemplified by the development trends in Canada and the Nordic countries. In analyzing this, it is crucial to understand the relationship between ethnicity, indigenous peoples, and self-determination. With this as a starting point, the important role of internationalization, state integration, territorialization and urbanization are analyzed. These dimensions lead both individually and through mutual effects in the direction of Indigenous self-determination institutions with certain main characteristics. The most important characteristics are democratically directly elected large-scale institutions where the right to vote rests heavily on individual self-identification, and in which Indigenous politics build on functional territoriality

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.844
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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.

Opus teacher head0.057
GPT teacher head0.333
Teacher spread0.276 · 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.

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

Citations1
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueDuo Research Archive (University of Oslo)Same topicIndigenous Health, Education, and RightsFrench-language works237,207