PREVALENCE OF MANDIBULAR OLIGODONTY IN WILD SHEEP: POSSIBLE EVOLUTIONARY RELEVANCE
Bibliographic record
Abstract
I examined prevalence of mandibular oligodonty in wild sheep (Ovis) and related it to evolutionary theory and classification. Inspection of 5,300 mandibles that included most subspecies of sheep revealed that this anomaly was widespread in New World sheep (subgenus Pachyceros) but was rare in Old World sheep (subgenus Ovis). Among the pachyceriform sheep, Siberian snow sheep (O. nivicola) had the highest prevalence of mandibular oligodonty (60.3%), followed by Dall's sheep (O. dalli, 23.0%), and bighorn sheep (O. canadensis, 10.1%). In Old World sheep, occurrence averaged 1.7% for argalis (O. ammon), 1.0% for urials (O. vignei), and 1.7% for mouflons (O. gmelini). Prevalence in domestic sheep was 4.3%. Overall, more recently evolved types exhibited the anomaly to a greater degree than did more primitive ones.
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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 | 0.000 | 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) | 0.002 | 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 teacher head, 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".