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Record W2774402995 · doi:10.23865/arctic.v5.1048

“Working Together”: The Dynamics of Multilevel Governance in Nunavut

2014· article· en· W2774402995 on OpenAlex
Thierry Rodon

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueArctic review on law and politics · 2014
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsUniversité LavalCenter for Northern Studies
Fundersnot available
KeywordsCorporate governanceGovernment (linguistics)LegitimacyPopulationPublic administrationBeneficiaryRevenuePolitical scienceEconomic growthBusinessEconomicsSociologyPoliticsLawFinance

Abstract

fetched live from OpenAlex

Aboriginal self-government is changing the governance landscape in Canada. This paper focuses on a little-studied aspect of aboriginal self-govern¬ment arrangements, namely the horizontal dispersion of power among non-gov¬ernmental institutions in the policy process. Nunavut, the Canadian territory created in 1999, offers a good example of this horizontal power dispersion. The Government of Nunavut is the only Canadian public government stemming from a land claim agreement. This creates a special set of obligations and entrenches a horizontal multilevel governance model, with a unique model of governance between a public government, the government of Nunavut (GN), that serves a pre¬dominantly Inuit population, and a nonprofit beneficiary organization, Nunavut Tunngavik Inc.(NTI), representing the Inuit of Nunavut. In this paper we map out the authority and legitimacy of these levels of governance and the impacts of this system on Nunavut public policies and access to resource development revenues.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.947
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.039
GPT teacher head0.365
Teacher spread0.326 · 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