Habitat selection and use of edges by striped skunks in the Canadian prairies
Bibliographic record
Abstract
During 1993-1994, we radio-tracked 21 female and 5 male striped skunks (Mephitis mephitis) in south-central Saskatchewan, Canada, to assess their patterns of habitat selection. Home ranges of both sexes contained more areas managed for nesting waterfowl and less woodland than the overall study area. When foraging within their home ranges, striped skunks used more wetland and woodland and less cropland relative to other habitat types (managed nesting areas, rights-of-way, farmsteads). Patterns of habitat selection by striped skunks were significantly but weakly correlated with abundance of insects and small mammals. Striped skunks selected undisturbed habitats where ground litter can accumulate, possibly because such habitats also harbor a greater abundance of prey. Our results support the restoration of grasslands for nesting waterfowl. Furthermore, the use of large habitat patches by striped skunks decreased away from edges, suggesting that large patches may serve as refuges for ground-nesting birds.
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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 | 0.001 |
| 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 | 0.001 |
| 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".