Variability in the Foraging Patterns of Polar Bears (Ursus Maritimus) in the Canadian High Arctic and Foxe Basin
Bibliographic record
Abstract
Ongoing climate warming is projected to cause further declines in sea ice across the Arctic; as a result the foraging ecology of marine species will change. This thesis aimed to investigate the ecological patterns associated with polar bear diet selection. I characterized polar bear diet in the High Arctic, an area that supports a high density of bears and Foxe Basin, a subpopulation that has remained stable despite shifts in sea ice habitat. I used adipose tissue samples and quantitative fatty acid signature analysis to quantify diet composition. Lipid content was used as an indicator of body condition and decreased from fall to spring in bears when prey are less available. Diet estimates revealed spatial differences in polar bear foraging and identified the importance of locally and seasonally abundant prey. The ability of some individuals to alternate between prey species may help mitigate the effects of a declining sea ice habitat.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".