Long-tailed Weasel, <em>Mustela frenata</em>, Movements and Diggings in Alfalfa Fields Inhabited by Northern Pocket Gophers, <em>Thomomys talpoides</em>
Bibliographic record
Abstract
Little is known about the movements of Long-tailed Weasels (Mustela frenata) in alfalfa (Medicago spp.) fields inhabited by Northern Pocket Gophers (Thomomys talpoides). In central Alberta, I intermittently followed the movements of Long-tailed Weasels during two consecutive winters. Three types of movements were observed: straight-line movements across the fields; sinuous movements along the edges of the field; and arc movements within the field, over concentrations of Northern Pocket Gopher burrow systems. Arc movements were 0.6-28-m-wide at their base, and extended from 6 to 45 m into the field. Movements of Long-tailed Weasels into the fields were accompanied by fresh diggings in Northern Pocket Gopher burrow systems, which became inactive thereafter. This study suggests that Long-tailed Weasels may have a cognitive map of the distribution of Northern Pocket Gophers in their home range.
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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".