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Record W4394983185 · doi:10.1080/2154896x.2024.2342121

The natural resource management in Nunavut and Greenland – a perspective through historical institutionalism

2024· article· en· W4394983185 on OpenAlexaboutno aff
Maria Ackrén

Bibliographic record

VenueThe Polar Journal · 2024
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsnot available
Fundersnot available
KeywordsNatural resourceNatural resource managementGovernment (linguistics)Devolution (biology)IndigenousPolycentricityLocal governmentGeographyCorporate governancePublic administrationPolitical scienceEnvironmental resource managementEconomicsLawEcologyArchaeology

Abstract

fetched live from OpenAlex

This article compares the self-government system in Greenland in Denmark and territorial governance in Nunavut, Canada in relation to the management of natural resources through the perspective of historical institutionalism. Both territories have undergone processes of re-empowerment, and possess major assets of natural resources, and the struggle for self-determination has triggered their metropolitan states (Denmark and Finland) and regional governments to consider some form of self-government. However, two different solutions have appeared due to gradual development through path dependency as legislation and form of government. Nunavut is a territory within the Canadian federal construction, based on Indigenous claims, while Greenland is a self-governing territory within the Danish unitary state. The land claims in Canada have given Nunavut some influence in the management of its natural resources, while Greenland has taken control of its subterranean resources through extended self-government implemented in 2009. This article will highlight the resource policy similarities and differences of the two territories via three potential explanatory factors: historical background, self-government, and the management of natural resources as a point of departure. The findings show that both regions have similarities in historical background and the management of natural resources, but there are also significant differences in how local authorities have addressed mining projects.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.822
Threshold uncertainty score0.254

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.009
GPT teacher head0.225
Teacher spread0.215 · 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.

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

Citations1
Published2024
Admission routes1
Has abstractyes

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