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Record W3011031991 · doi:10.14430/arctic69945

“She is Transforming:” Inuit Artworks Reflect a Cultural Response to Arctic Sea Ice and Climate Change

2020· article· en· W3011031991 on OpenAlexvenueaboutno aff
Kaitlyn Rathwell

Bibliographic record

VenueARCTIC · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicClimate Change Communication and Perception
Canadian institutionsnot available
Fundersnot available
KeywordsClimate changeSalientArcticMetaphorContext (archaeology)MainstreamGeographyVisual artsArtArchaeologyPolitical scienceOceanographyGeology

Abstract

fetched live from OpenAlex

Seven Inuit artists reflect their lived experience of disappearing sea ice and climate change in their artworks. Living in Pangnirtung and Cape Dorset, Nunavut, for five months in 2013 and one month in 2015 enabled me to build relationships with artists and to initiate collaborations for this project. I examine how the artworks and artists use symbolism, metaphor, and other aesthetic devices to convey messages about their lived experience of sea ice and climate change. Stories told by artists about their artworks emphasize the importance of adaptation and interconnectedness and embrace themes about transformation and renewal. The insights provided by the artists participating in this research are crucial in the context of bridging knowledge systems to enhance our understanding of and potential responses to environmental change. Connecting with the intangible aspects of knowledge systems, such as emotional response, values, and identity, is an ongoing challenge; yet, accounting for these aspects of knowledge is a critical component of salient and legitimate environmental governance. Artists and their artworks can illuminate the less tangible aspects of knowledge about change and hence have an important role to play at the interface of diverse knowledge systems.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.815
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.443
GPT teacher head0.454
Teacher spread0.011 · 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

Citations20
Published2020
Admission routes2
Has abstractyes

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