“She is Transforming:” Inuit Artworks Reflect a Cultural Response to Arctic Sea Ice and Climate Change
Bibliographic record
Abstract
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.023 | 0.014 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".