MétaCan
Menu
Back to cohort
Record W2168811769 · doi:10.1017/s0008423908080244

The Arctic Promise: Legal and Political Autonomy of Greenland and Nunavut

2008· article· en· W2168811769 on OpenAlexaffabout
David Brock

Bibliographic record

VenueCanadian Journal of Political Science · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsWestern University
Fundersnot available
KeywordsAutonomyIndigenousPoliticsPolitical scienceContext (archaeology)Corporate governanceIndigenous rightsArcticGeographyPublic administrationLawSociologyArchaeology

Abstract

fetched live from OpenAlex

The Arctic Promise: Legal and Political Autonomy of Greenland and Nunavut, Natalia Loukacheva, Toronto: University of Toronto Press, 2007, pp. xii, 255. Is there political space for a northern vision of governance? This book is a comparative evaluation of Inuit efforts to realize autonomy within the Danish realm and Canadian federation through the creation and evolution of Greenland and Nunavut. A comparative legal and historical analysis is used to make normative claims about Inuit autonomy in these two jurisdictions. The concept of autonomy is defined by the author as “equivalent to self-government in the context of an internal right to self-determination” (6). It is argued that there is no need for Inuit in either territory to pursue a special type of indigenous autonomy because Inuit legal and political aspirations can be realized through existing arrangements. Loukacheva claims, “The Inuit majorities of Nunavut and Greenland in practice are turning de jure territorial forms of governance into de facto indigenous ones” (40). The evidence presented in this book may not constitute the last word on Inuit autonomy, but it sure is provocative.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.311
Threshold uncertainty score0.625

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0150.019
Scholarly communication0.0080.003
Open science0.0010.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.023
GPT teacher head0.293
Teacher spread0.271 · 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 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

Citations49
Published2008
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal of Political ScienceSame topicArctic and Russian Policy StudiesFrench-language works237,207