Data from: Icing-related injuries in polar bears (Ursus maritimus) at high latitudes
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
Climate change has broad ecological implications for wildlife, especially for species that rely on temperature-sensitive habitats. For polar bears (Ursus maritimus), loss of Arctic sea ice reduces access to prey and lengthens seasonal fasting periods leading to behavioral, nutritional, and reproductive impacts that may result in population declines. Secondary factors, such as disease and contaminants can exacerbate primary stressors and new health-related conditions are likely to emerge. For example, once unusual but now increasingly frequent warming cycles are creating unprecedented icing conditions that have demographic consequences for cold-adapted mammals. We report on icing-related lesions observed in wild polar bears during live-capture research in two high-latitude subpopulations, Kane Basin (KB) and East Greenland (EG), between 2012 and 2022. We observed ice build-up, hair loss (alopecia), and skin ulcerations primarily affecting the feet of adult bears as well as other parts of the body. The most severely affected individuals had blocks of ice up to 30 cm in diameter adhered to the foot pads, deep, bleeding ulcerations of foot pads and exhibited lameness. These injuries have not been observed during previous research in these areas or reported in the scientific literature, suggesting this may be a new phenomenon. To provide context for our observations, we conducted interviews with Indigenous polar bear subsistence hunters in West and East Greenland and Nunavut to document Indigenous knowledge about the potential causes and frequency of these injuries.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.253 |
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