Mule, Odocoileus hemionus, and White-tailed, O. virginianus, deer in the Yukon
Bibliographic record
Abstract
Hoefs, Manfred.2001.Mule, Odocoileus hemionus, and White-tailed, O. virginianus, deer in the Yukon.Canadian Field-Naturalist 115(2): 296-300.Both Mule Deer (Odocoileus hemionus) and White-tailed Deer (Odocoileus virginianus) have colonized the southern half of the Yukon in recent decades.Mule Deer have attained a continuous distribution in suitable habitats, White-tailed Deer have remained rare.Deer habitats are largely open, south-facing grassy slopes bordered by aspen, sites of recent forest fires, and cultivated hay fields.Many sightings have been reported by the general public.These have been supplemented by interviews of native elders and other long-time residents and a literature search.Mule Deer first appeared in the Yukon in the late 1930s to early 1940s and by the 1980s had reached the latitude of Dawson (64° N) and crossed into Alaska in the Ladue River drainage.A northern record for Mule Deer was established with a sighting near Chapman Lake along the Dempster Highway (64° 50' N, 138° 25" W).White-tailed Deer are more recent, first observed near the British Columbia border (60° 10' N) at Tagish Lake in 1975 and reaching Moose Creek along the Klondike Highway (63° 30' N) in 1998.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".