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Record W4394983161 · doi:10.1080/2154896x.2024.2342119

Inuit autonomy in the Canadian Arctic: comparing treaty federalism in Nunavut and Nunatsiavut

2024· article· en· W4394983161 on OpenAlexaffabout
Martín Papillon, Thierry Rodon

Bibliographic record

VenueThe Polar Journal · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsUniversité LavalUniversité de Montréal
Fundersnot available
KeywordsFederalismAutonomyTreatyArcticPolitical scienceThe arcticGeographyLawOceanographyPoliticsGeology

Abstract

fetched live from OpenAlex

When examining the institutional landscape in Canada’s Arctic regions, one thing that is particularly striking is the diversity of autonomy regimes that have emerged through the negotiation of treaties with Indigenous Peoples. This article contrasts the experiences of the Nunavut government (a public government administering a territory with an Inuit majority) and the Nunatsiavut government (an Inuit-only government nested within the province of Newfoundland and Labrador). What explains the development of these two different types of institutional arrangements that emerged out of similar processes of treaty negotiation? And what are the political consequences of these diverging paths? We first discuss the historical foundations of treaty-based Indigenous autonomy regimes in Northern Canada. We then argue that two factors are particularly relevant to understanding the different trajectories of Nunavut and Nunatsiavut. First is the timing of treaty negotiations, which opened different institutional possibilities at critical junctures, and second is the geopolitical context specific to the two regions. Lastly, we look at some of the political implications of these two models, focusing on the way identity is mediated and on the distinctive multilevel governance dynamics they induce.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.666
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 communication0.0010.000
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 head0.038
GPT teacher head0.320
Teacher spread0.282 · 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 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

Citations1
Published2024
Admission routes2
Has abstractyes

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