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Record W2121881669 · doi:10.7202/045403ar

Inuit perceptions of climate change in East Greenland

2011· article· en· W2121881669 on OpenAlexvenueaboutno aff
Cunera Buijs

Bibliographic record

VenueÉtudes/Inuit/Studies · 2011
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsSubsistence agricultureClimate changeGeographyGlobal warmingFishingWildlifeExtreme weatherEffects of global warmingPoliticsEnvironmental resource managementNatural resource economicsPolitical scienceAgricultureEcologyEnvironmental scienceEconomics

Abstract

fetched live from OpenAlex

Global warming and climate change are important topics of debate in Greenland. This paper examines how the Tunumiit of East Greenland perceive the weather, the changing climate, and the local environment. It also discusses how their perceptions have been influenced by political debates on global warming, sustainable development, and wildlife management since the 1950s. In the past, if some animal species disappeared from a specific area, or if the weather turned bad, the Tunumiit would attribute this misfortune to human transgressions of rules of respect. Today, they often connect the increasingly unpredictable weather to their reduced access to natural resources and greater difficulties in travelling. Some hunters speak of a shift from seal hunting to cod fishing in East Greenland, although fishing is still perceived as a vulnerable source of income with low status. Nowadays, older methods of navigation and orientation coexist with such new technologies as GPS and mobile telephones. Some local hunters and villagers feel unfairly accused of increases in CO2 emissions and pollution from their motorboats and generators. Tunumiit hunting communities are facing increasing uncertainty on all levels of their existence, and their hunters are turning to the growing tourism industry—a side effect of global warming—and other coping strategies to maintain their local subsistence activities and to reinforce their own culture.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.951
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.192
GPT teacher head0.420
Teacher spread0.228 · 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 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

Citations17
Published2011
Admission routes2
Has abstractyes

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