GLIDING PERFORMANCE OF THE NORTHERN FLYING SQUIRREL (<i>GLAUCOMYS SABRINUS</i>) IN MATURE MIXED FOREST OF EASTERN CANADA
Bibliographic record
Abstract
There is a paucity of empirical data on gliding abilities of most gliding mammals, including flying squirrels in the genus Glaucomys. I assessed gliding performance of the northern flying squirrel (Glaucomys sabrinus) by calculating glide parameters for 100 glides observed between July 1999 and July 2000 in southern New Brunswick, Canada. G. sabrinus had a glide angle of 26.8° and a glide ratio of 1.98. The difference between the vertical drop at the start of a glide and the vertical rise at the end of a glide was about 1.91 m. Males tended to glide farther than females (X̄ = 19.0 m versus 14.2 m), although sexes did not differ in heights of launch (X̄ = 9.8 m) or landing (X̄ = 2.0 m). Red spruce (Picea rubens) trees were favored as landing sites over hardwood species. Most glides (59%) were with the slope of terrain, allowing a greater net height loss (X̄ = 10.2 m) than initial height of launch. Horizontal glide distance ranged from 3.2 to 45 m, with most glides being 5–25 m.
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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 | 0.000 | 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 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".