Bibliographic record
Abstract
Ovis canadensis Shaw 1804 Ovis canadensis Shaw 1804, Nat. Misc., 51: text to pl. 610. Type Locality: "the interior parts of Canada "; identified as Canada, Alberta, Mountains on Bow River, near Exshaw (Anderson, 1947:184). Vernacular Names: Bighorn Sheep. Subspecies:: Subspecies Ovis canadensis subsp. canadensis Shaw 1804 Subspecies Ovis canadensis subsp. californiana Douglas 1829 Subspecies Ovis canadensis subsp. cremnobates Elliot 1904 Subspecies Ovis canadensis subsp. mexicana Merriam 1901 Subspecies Ovis canadensis subsp. nelsoni Merriam 1897 Subspecies Ovis canadensis subsp. weemsi Goldman 1937 Distribution: S British Columbia and SW Alberta (Canada) to Coahuila, Chihuahua, Sonora and Baja California (Mexico). Conservation: CITES – Appendix II (Mexican population); U.S. ESA – Endangered as O. c. californiana in Sierra Nevada, California; Endangered as O. canadensis in peninsular ranges of Calfornia; IUCN – Critically Endangered as O. c. weemsi; Endangered as O. c. cremnobates; Vulnerable as O. c. mexicana; Lower Risk (cd) as O. c. californiana and O. c. nelsoni; otherwise Lower Risk (lc). Discussion: For locality where Duncan McGillivray shot the type, see J. A. Allen (1912). Corbet (1978 c:218) included nivicola; but see also Korobitsyna et al. (1974) and Corbet and Hill (1991:135). Revised by Cowan (1940) and Wehausen and Ramey (2000). Reviewed by Shackleton (1985, Mammalian Species, 230).
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.020 | 0.011 |
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; both teacher heads agree on what is shown here.
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".