Ochotona (Pika) princeps Richardson 1828
Bibliographic record
Abstract
Ochotona (Pika) princeps Richardson 1828 Ochotona (Pika) princeps Richardson 1828, Zool. J., 3: 520. Type Locality: "Rocky Mountains"; restricted by Preble (1908) to "near the sources of Elk (Athabasca) River," [Athabasca Pass, head of Athabasca River, Alberta, Canada]. Vernacular Names: American Pika. Subspecies:: Subspecies Ochotona (Pika) princeps subsp. princeps Richardson 1828 Subspecies Ochotona (Pika) princeps subsp. figginsi Allen 1912 Subspecies Ochotona (Pika) princeps subsp. saxatilis Bangs 1899 Subspecies Ochotona (Pika) princeps subsp. schisticeps Merriam 1889 Subspecies Ochotona (Pika) princeps subsp. taylori Grinnell 1912 Distribution: Mountains of W North America from C British Columbia (Canada) to N New Mexico, Utah, C Nevada, and EC California (USA). Conservation: IUCN – Lower Risk (lc); isolated subspecies in the Great Basin: IUCN – Vulnerable (goldmani, lasalensis, nevadensis, nigrescens, obscura, sheltoni, tutelata; A. T. Smith et al., 1990). Discussion: Subgenus Pika. Broadbooks (1965) and Youngman (1975) considered princeps and collaris conspecific. Corbet (1978 c), following Gureev (1964), included princeps in alpina. A statistical reevaluation of craniometric data by Weston (1981) indicated that princeps, collaris, and alpina are separate species. Hafner and Sullivan (1995) analyzed allozymic variation from 56 populations of princeps, with collaris as outgroup (see above). All but eight of the populations were placed in one of five regional populations, those eight being geographically intermediate. Reviewed by Smith and Weston (1990, Mammalian Species, 352). Allozyme studies revealed 4-5 main groups of populations in this species (Hafner and Sullivan, 1995). Synonyms listed here follow these groupings: (1) Northern Rockies, (2) Central Rockies, (3) Southern Rockies, (4) Sierra Nevada-Great Basin, (5) Cascades.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.011 | 0.007 |
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".