USING TWO-EYED SEEING TO DOCUMENT CLIMATE IMPACTS TO SEA ICE IN RESOLUTE BAY, NUNAVUT, CANADA
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it