Digging deep: hoary marmots (<i>Marmota caligata</i>) use refuge burrows excavated by grizzly bears (<i>Ursus arctos</i>)
Bibliographic record
Abstract
Abstract Hoary marmots (Marmota caligata) dig burrows in alpine meadows rich in forage as ready refuge from potential predators. Refuge burrows enable hoary marmots to engage in risk-sensitive foraging when they are away from more secure resting burrows on talus slopes. Grizzly bears (Ursus arctos) commonly excavate refuge burrows while hunting marmots, substantially changing the physical characteristics of the burrow by removing earthen material. However, it is not known if marmots continue to use excavated burrows as refuge. We opportunistically inspected 22 burrows excavated by grizzly bears for use by marmots at two sites in northwestern Canada. We found marmot feces at 10 of 22 excavated burrows, indicating that marmots continued to use these burrows after they were excavated by bears. While marmots may dig several refuge burrows in alpine meadows, and bears may substantially modify them while hunting marmots, our observations indicate that some excavated burrows retain value for foraging marmots. However, the extent of their utility is unknown. We postulate several reasons why hoary marmots may use excavated burrows and suggest avenues for further research.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".