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Record W7039251677

The legal position of Inuit in the exploitation of natural resources in Greenland

2019· dissertation· en· W7039251677 on OpenAlexaboutno aff

Bibliographic record

VenueSkemman · 2019
Typedissertation
Languageen
FieldEnvironmental Science
TopicIchthyology and Marine Biology
Canadian institutionsnot available
FundersHáskólinn á Akureyri
KeywordsIndigenousArcticClimate changeSea iceNatural resourceArctic ice packArctic ecology
DOInot available

Abstract

fetched live from OpenAlex

Among the many topical issues dominating international discourse, are climate change, pollution, and human rights violations. Regarding environmental problems, the Arctic is going through one of the darkest periods of its history and the consequences will not tend to fade over time. Issues such as the rapid melting of polar ice and the resulting rise in sea levels have not only negatively affected the vulnerable Arctic ecosystem, but have also compromised the lifestyles of indigenous peoples who for centuries have lived in seemingly uninhabitable environments. In fact, according to the National Snow and Ice Data Center (NSIDC), in 2019 the Arctic marine ice has reached its minimum extension. This means that in the autumn the ice expanded more slowly than usual. This makes indigenous communities more vulnerable, because lack of ice creates floods and reduces the mobility of the local communities and fauna that use the ice caps to move .
\nDespite these many threats of climate change, opportunities are also generated as ice retreats, with many countries now examining economic possibilities presented by climate change. In fact, in these years the routes of communication have grown and a real race to exploit natural resources has been triggered. Greenland is a prime example of a country where the threats and opportunities of climate change coexist.
\nThis thesis will outline the history of Greenland from the point of view of the regulation of the mining sector and the protection of Inuit rights there with respect to the social, environmental and economic consequences of mining.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.280
Threshold uncertainty score0.933

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 integrity0.0000.000
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 head0.005
GPT teacher head0.231
Teacher spread0.226 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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