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Record W2164716980 · doi:10.7202/029821ar

Young Greenlanders in the urban space of Nuuk

2009· article· en· W2164716980 on OpenAlexvenueno aff
Birgit Kleist Pedersen

Bibliographic record

VenueÉtudes/Inuit/Studies · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)ModernityNeglectColonialismLyricsGender studiesSociologyPsychologyGeographyPolitical scienceArtLawPsychiatryLiterature

Abstract

fetched live from OpenAlex

This paper discusses young urban Greenlanders living in Nuuk, and how they depict themselves in selected lyrics and the feature film Eskimo Weekend . Although Greenland is moving along at many levels in a transition process between old and new life styles, it has left the younger generation in a kind of limbo. Compared to their parents’ generation, which was occupied in finding its place in a post-colonial nation-building context, young Greenlanders are more focused on their individual lives. During the 1990s, they tried in different ways to reach their parents and the politicians in order to make them comprehend the serious neglect many of the young people have suffered in their short lives. Through their songs, the popular Greenlandic Rap group Prussic asked adults to take children and young people seriously, to listen to them and most importantly, to raise them like “normal kids” being loved and cared for without parents’ abuse of drugs and alcohol. As seen in the film Eskimo Weekend , the young Greenlanders are fascinated with global tendencies, but at the same time, they are trying to find a balance between the idea of a lifestyle linked to tradition, and that of a lifestyle linked to modernity.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.443
Threshold uncertainty score0.868

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
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 head0.063
GPT teacher head0.369
Teacher spread0.306 · 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 designQualitative
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

Citations5
Published2009
Admission routes1
Has abstractyes

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