Winter activity patterns of the North American badger (Taxidea taxus) at its northwestern periphery
Bibliographic record
Abstract
Abstract The North American badger (Taxidea taxus) is a nonhibernating carnivore that occurs in areas with highly seasonal climates, such as in Canada where the animal reaches its northern limits. There, winter climate is harsh and conventional habitat is limited and patchy, possibly leading to additional energetic constraints. Using radiotelemetry and remote cameras, we documented winter activities of 16 badgers (12 females, 4 males) between 2007 and 2011 in British Columbia, at the northwestern periphery of the species’ range. In comparison to their summer ecology, the animals reduced home range sizes by up to 98% and showed fidelity to particular burrows. Burrow fidelity was variable (mean 27 days; range 0–108) and coincided with reduction in body temperatures, suggesting the onset of torpor. Despite lengthy use of the same burrow, badgers emerged frequently and conducted excursions that appeared to represent foraging behavior. Burrow emergence was not related to ambient temperature or snow depth; rather, it was best explained by the amount of days elapsed since the start of winter. Despite these trends, winter activity also was variable among individual badgers. It may be that limited fat reserves and higher energetic costs in northwestern ranges require winter foraging activities.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".