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Record W4399109084 · doi:10.1080/2154896x.2024.2342116

Introduction: indigenous self-governance in the Arctic States

2024· article· en· W4399109084 on OpenAlexaboutno aff
Uffe Jakobsen, Henrik Larsen, Emma Stewart

Bibliographic record

VenueThe Polar Journal · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousArcticThe arcticCorporate governancePolitical scienceGeographyOceanographyBusinessGeologyEcology

Abstract

fetched live from OpenAlex

The theme of this special issue is indigenous self-governance in Arctic states.A common characteristic of the states that are partly located in the Arctic -Canada, Denmark, Finland, Norway, Russia, Sweden, USA -is that they all have indigenous peoples, and all have some form of self-government.There has been relatively little research on the similarities and differences between the sub-state autonomy structures within the Arctic states from a political science perspective (although with important exceptions, see below).This is somewhat surprising given the growing interest in the Arctic region during the last 15 years, where some of these autonomous units play an increasingly important role.This special issue asks how different are these self-governing units?How did they evolve into their current form?Do they have a distinct Arctic indigenous character? 1 Sub-state units in the Arctic have different kinds and degrees of political autonomy within the states of which they are part.Some -the Faroe Islands (non-indigenous people) and Greenland -have significant political autonomy and could in principle opt for independence within a relatively short time.Others -Indigenous peoples in Alaska, Canada and Russia -have a degree of autonomy within the structures of the constitution, which do not always fit neatly within these same constitutional structures.Others yet again -Smi in Finland, Norway and Sweden -have political autonomy through nonterritorial based representation, which go beyond the Arctic areas.This special issue delves into the reasons for the differences and similarities between the political autonomy arrangements of these sub-state units in the Arctic.The cases are quite different.They include territorial vs non-territorial autonomy (however, some contributions to this special issue argue that the standard model of non-territorial governance does not apply), extensive autonomy vs. limited autonomy, different degrees of fit with formal state structures, Indigenous groups aiming for formal independence vs. aiming for autonomy and influence within their state structures.The population of the Faroe Islands is not an Indigenous people.Whether this has made a difference in the way

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)0.002
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.875
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.012
GPT teacher head0.292
Teacher spread0.280 · 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 designNot applicable
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

Citations3
Published2024
Admission routes1
Has abstractyes

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