Forest fragmentation effects and the cavity nest material requirements of northern flying squirrels and red squirrels in a fragmented secondary hardwood forest region of Ontario, Canada
Bibliographic record
Abstract
Agriculturally induced fragmentation of hardwood forests has been extensive in southern Ontario, with important implications for biodiversity, such as the outright loss of species, contraction in species distributions, and reduced genetic diversity. The purpose of this thesis was to investigate the patterns of fragment occupancy, from a metapopulation perspective, as a function of landscape-level features and to identify significant aspects of habitat use, including nest material requirements, for northern flying squirrels (Glaucomys sabrinus) and red squirrels ( Tamiasciurus hudsonicus) in highly fragmented secondary hardwood forests. The occurrence of G. sabrinus was positively correlated with fragment area, while T. hudsonicus occurrence was positively correlated with the basal area of coniferous trees. Both species primarily used shredded eastern white cedar (Thuja occidentalis) bark as nesting material, possibly due to a behavioural adaptation to reduce ectoparasite loads in the nest environment.
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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 | 0.001 | 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".