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Record W2068208423 · doi:10.1080/1088937x.2013.769282

Living with uncertainties: Qeqertarsuarmiut perceptions of changing sea ice

2013· article· en· W2068208423 on OpenAlexaboutno aff
Pelle Tejsner

Bibliographic record

VenuePolar Geography · 2013
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
FundersKommissionen for Videnskabelige Undersøgelser i Grønland
KeywordsNarrativeArcticLivelihoodClimate changeGlacierGeographySea iceOceanographyPolitical sciencePhysical geographyGeologyMeteorologyArchaeology

Abstract

fetched live from OpenAlex

Abstract In Qeqertarsuaq on Disco Island, west Greenland, residents continue to rely on sea ice for the harvest of maritime resources across the Arctic seasons. Sea ice is important to local households because it represents an essential platform for everyday harvesting efforts along the coast. The article considers coastal dwellers' ways of engaging with environmental forces (such as winds, currents, and sea ice), in a time where climate change crisis narratives feature Inuit populations as increasingly ‘exposed’ victims on an envisioned ‘front-line’ of global warming. Since melting glaciers and ice remain the focus of climate crisis-driven narratives, which inevitably obscure the more complex engagements that abound locally, the article considers local experiences that reflect underlying socio-environmental relations. These relations are expressed through Qeqertarsuarmiut narratives that reflect interactions with a familiar environment and suggest how locals engage with an environment that has always been perceived as lively, shifting, and ever changeable. These coastal narratives reflect the complexities of local livelihoods in ways that run counter to the dominant crisis narratives about Arctic climate change. By focusing on sea ice and how it is represented in environmental change science narratives, and conversely, what it means to a Greenlandic coastal community, the article explores alternative receptions of climate change in Qeqertarsuaq.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.190
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.013
GPT teacher head0.301
Teacher spread0.287 · 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.

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

Citations42
Published2013
Admission routes1
Has abstractyes

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