WINTER HABITAT AND NEST TREES USED BY NORTHERN FLYING SQUIRRELS IN SUBBOREAL FORESTS
Bibliographic record
Abstract
We determined characteristics of nest trees and surrounding habitats used by northern flying squirrels (Glaucomys sabrinus) in subboreal forests of northwestern British Columbia during winters 1996–1997 and 1997–1998. Nineteen radiocollared flying squirrels (12 males, 7 females) were located in 82 daytime nests. Animals used an average of 5.6 nest trees (±0.5 SE; range, 3–10) per animal. Core nest areas used by flying squirrels averaged 2.74 ± 0.62 ha in size; areas were more variable for males (range, 0.86–8.58 ha) than females (range, 0.03–2.23 ha). Nest trees were highly variable, suggesting that animals select more for suitable nest sites than for tree size: diameter at breast height was 16.7–79.0 cm, age was 42–174 years, and height was 11.2–32.7 m. A significant proportion of nest trees, however, were larger, older, and taller than trees that were randomly available in the locale of nest trees. Variation in habitats used by flying squirrels in the subboreal spruce (Picea) zone of British Columbia is evidence of the ability of this animal to occupy a wide range of conditions in a region that is not typified by old-growth forests.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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 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".