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Record W1965113155 · doi:10.1080/13597566.2013.818981

The Dynamics of Intra-jurisdictional Relations in the Inuit Regions of the Canadian Arctic: An Institutionalist Perspective

2013· article· en· W1965113155 on OpenAlexaffabout
Christopher Alcantara, Gary N. Wilson

Bibliographic record

VenueRegional & Federal Studies · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsUniversity of Northern British ColumbiaWilfrid Laurier University
Fundersnot available
KeywordsGovernment (linguistics)Perspective (graphical)FederalismInstitutionalismHistorical institutionalismPolitical scienceArcticEconomic geographyThe arcticRegional sciencePolitical economyGeographySociologyLawPolitics

Abstract

fetched live from OpenAlex

One of the most exciting developments in Canadian federalism has been the emergence of Aboriginal self-governing regions. This paper constructs a theoretical framework for exploring the evolution of intra-jurisdictional relations in the self-governing Inuit regions of the Canadian Arctic. Intra-jurisdictional relations in these regions are characterized by a unique set of relationships between elected governments and organizations that represent the beneficiaries of land-claims agreements. Using the literature on historical institutionalism, we argue that the nature of Inuit intra-jurisdictional relations following the establishment of self-government can be explained by the institutional choices made prior to the signing of land-claims agreements and/or self-government agreements. To illustrate the potential of our framework for analysing Inuit intra-jurisdictional relations, we briefly examine the experiences of Nunavut, an Inuit-dominated region and the newest territory in the Canadian federation.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.929
Threshold uncertainty score0.516

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0350.027
Scholarly communication0.0080.002
Open science0.0020.005
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 head0.046
GPT teacher head0.338
Teacher spread0.292 · 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 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

Citations6
Published2013
Admission routes2
Has abstractyes

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