Known Range Expansion and Morphological Variation in the Southern Flying Squirrel (<i>Glaucomys volans</i>) in Quebec
Bibliographic record
Abstract
New records of the Southern Flying Squirrel (Glaucomys volans) in Quebec expand its known range in the province 150 km east to the appalachian foothills and farther west than previously assumed. We obtained individuals through live trapping, trapper collaboration, and opportunistic discoveries. Species identification was confirmed with morphological traits and molecular analysis. individuals were smaller in the eastern part of the province in terms of mass, total length, and tail length. Some live captures also seem to corroborate the fact that Southern Flying Squirrels are mainly associated with mature hardwood forests.De nouvelles mentions du petit polatouche (Glaucomys volans) au Québec permettent d’étendre son aire de répartition connue jusqu’à 150 km à l’est dans les contreforts des appalaches et plus à l’ouest que présumé. Les spécimens ont été obtenus via des captures vivantes, la collaboration des trappeurs et des découvertes opportunistes. L’identification de l’espèce a été confirmée sur des bases morphologiques et moléculaires. Les individus étaient plus petits dans l’est de la province en considérant la masse, la longueur totale et celle de la queue. Les quelques captures d’animaux vivants semblent corroborer que le petit polatouche est davantage associé, au niveau de l’habitat, aux peuplements de feuillus matures.
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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 | 0.001 |
| 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) | 0.002 | 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".