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Record W7135673747

The Role of Greenland and Nunavut in International Relations in 1979-2009

2013· dissertation· cs· W7135673747 on OpenAlexaboutno aff
Radka Zettlitzerová

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2013
Typedissertation
Languagecs
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsAutonomyPopulationGreenland ice sheetGroenlandiaInternational relations
DOInot available

Abstract

fetched live from OpenAlex

Greenland and Nunavut are territories with a limited measure of autonomy. Greenland obtained it's autonomy when the Greenland Home Rule Act came into effect. Nunavut instead, obtained it's autonomy from the moment it was created in 1999, via the Nunavut Land Claims Agreement and the Nunavut Act.. Both Greenland and Nunavut have no authority to interfere with international affairs, but they do have options to get involved via different Inuit organizations (the majority of the population both Greenland and Nunavut are Inuits). This bachelor thesis, Role of Greenland and Nunavut in international relations in 1979 - 2009, aims to find an answer to the possibility of Greenland and Nunavut having an active part in international affairs (based on the documents mentioned above), if they can be considered of subjects of the international law and if some examples of their international involvement even can be mentioned. Even though according to their constitutional acts, niether Greenland nor Nunavut are allowed to act independently in matters of international affairs, the author of this thesis defends the hypothesis that in fact they can, participate in international discussions and even, on a limited scale, decide their own foreign policy. The first part of this thesis introduces a basic geographical,...

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.303
Threshold uncertainty score0.609

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0160.009
Scholarly communication0.0040.002
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.007
GPT teacher head0.278
Teacher spread0.271 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2013
Admission routes1
Has abstractyes

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Same venueDigital Repository (National Repository of Grey Literature)Same topicIndigenous Studies and EcologyFrench-language works237,207