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Record W2948559018

The Isukasia iron ore mine controversy: Extractive industries and public consultation in Greenland

2012· article· en· W2948559018 on OpenAlexaff
Mark Nuttall

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsGovernment (linguistics)PoliticsWork (physics)Political scienceCommercial fishingBusinessFishingEnvironmental protectionGeographyEngineeringLaw
DOInot available

Abstract

fetched live from OpenAlex

The development of oil, gas and mineral resources is a stated aim of the Government of Greenland. Since the introduction of Self-Rule in 2009, which has given Greenlanders greater autonomy within the Kingdom of Denmark, the exploration for and exploitation of non-renewable resources has been a cornerstone of government policy. A number of mineral exploration and mining development licences have been granted to international companies and exploratory work for oil has continued off west Greenland and will take place in coming years in northwest Greenland and off the east coast. While energy companies and Greenlandic politicians and business leaders remain optimistic that discoveries of commercially-viable oil will be made, mining activities and energy development plans have provoked political and social debates within Greenland about the nature of such development, the absence of appropriate public consultation and regulatory processes, concerns about the impacts of extractive industries on traditional hunting and fishing activities, rights of participation, social and economic benefit agreements, skills and education, and the shortcomings of social and environmental impact assessments. This article discusses this debate with reference to the Isua Iron Ore Project. Located at Isukasia some 150 km northeast of Greenland’s capital Nuuk, this project has been implemented by London Mining and is currently under review by the Greenlandic authorities.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.045
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.003
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.263
GPT teacher head0.553
Teacher spread0.290 · 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 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

Citations18
Published2012
Admission routes1
Has abstractyes

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