USING TWO-EYED SEEING TO DOCUMENT CLIMATE IMPACTS TO SEA ICE IN RESOLUTE BAY, NUNAVUT, CANADA
Bibliographic record
Abstract
One of the most visible impacts of climate change in Arctic environments is declining sea ice. Sea ice is declining in its spatial extent, thickness, and duration of the ice-covered season. Historical trends in sea ice change have been well documented on an Arctic wide scale (Moon, 2021 and Thoman 2020). This study seeks to document historical trends in air temperature, sea ice thickness (SIT), break-up dates (BUDs) and freeze-up dates (FUDs), to correlate sea ice behavior to air temperatures, and to document the socio- economic impacts of sea ice change in Resolute Bay Nunavut, Canada using traditional Inuit knowledge (TIK) and scientific methods. This is the first study of its kind conducted in Resolute Bay. Traditional Inuit or Indigenous knowledge have been incorporated into scientific studies using two-eyed seeing in other studies seeking to understand the physical and natural environment (Abu 2019 and Michie 2018). This study is the first application of these methods to characterize climate impacts to sea ice in an Arctic Inuit community.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".