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Record W4382139989 · doi:10.1038/s41558-023-01701-9

Experience exceeds awareness of anthropogenic climate change in Greenland

2023· article· en· W4382139989 on OpenAlexaffabout
Kelton Minor, Manumina Lund Jensen, Lawrence C. Hamilton, Mette Bendixen, David Dreyer Lassen, Minik T. Rosing

Bibliographic record

VenueNature Climate Change · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicClimate Change Communication and Perception
Canadian institutionsMcGill University
FundersAalborg Universitet
KeywordsClimate changeEnvironmental scienceClimatologyPhysical geographyGeographyOceanographyGeology

Abstract

fetched live from OpenAlex

Abstract Although Greenland is a hub for climate science, the climate perceptions of Greenland’s predominantly Indigenous population have remained largely unstudied. Here we present two nationally representative surveys and show that Greenlanders are more likely than residents of top oil-producing Arctic countries to perceive that climate change is happening and about twice as likely to have personally experienced its effects. However, half are unaware that climate change is human-caused and those who are most affected appear to be least aware. Personal experience and awareness of human-induced climate change diverge along an Inuit cultural dimension. Indigenous identity positively predicts climate change experience, whereas subsistence occupation and no post-primary education negatively predict attribution beliefs. Despite Greenland’s centrality to climate research, we uncover a gap between the scientific consensus and Kalaallit views of climate change, particularly among youth. This science–society gulf has implications for local climate adaptation, science communication and knowledge exchange between generations, institutions and communities.

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 categoriesInsufficient 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 score0.315
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.442
GPT teacher head0.504
Teacher spread0.062 · 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

Citations24
Published2023
Admission routes2
Has abstractyes

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