Winter activity patterns of northern flying squirrels in sub-boreal forests
Bibliographic record
Abstract
We described autumn-winter activity patterns of northern flying squirrels (Glaucomys sabrinus) in northwestern British Columbia during 1996-1997 and 1997-1998. Nineteen flying squirrels (12 males and 7 females) were fitted with temperature-sensitive radio collars. We located animals in 82 daytime nests using radiotelemetry techniques and monitored 268 nights of activity using data-logging receivers placed at the base of nest trees. The average temperature of the animals, as determined by the collar sensors while the animals were in nests, was 39.2 ± 0.1°C, with no significant differences among animals, tree species, or tree sizes. Activity periods in a mild field season followed a dusk- and dawn-activity pattern, but activities in harsh winter conditions shifted towards a shorter single activity bout or two very short activity bouts in the middle of the night. No long activity bouts (>1.9 h) were observed at temperatures below -20°C. This reduction in time spent active and adjustment of the timing of activity during extremely low temperatures likely serve as an energy-conservation strategy.
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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) | 0.003 | 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".