An improved age estimation method for caribou and reindeer using tooth eruption and wear
Bibliographic record
Abstract
Dental age estimation based on tooth eruption schedules and wear is a useful analytical tool in zooarchaeology for developing demographic profiles for animal skeletal remains, particularly those from ruminants. While tooth eruption schedules are applicable only to younger individuals, tooth wear can be used for older animals as the heights of their crowns shorten over their lifetime, creating recognizable visual changes to tooth occlusal surfaces. This study presents a novel tooth eruption and wear age estimation method for Rangifer tarandus , a key species of the Circumpolar North. The method was created using a sample of over 600 mandibles from known-age caribou and reindeer from several populations. These are Qamanirjuaq, Beverly, Dolphin-Union, Bluenose East, and Bluenose West caribou herds from Canada and forest reindeer from Finland. The method provides a user-friendly manual featuring tooth wear illustrations of premolars and molars created using frequency of occurrence data of easily recognizable visual wear traits. This method can be applied to modern and archaeological Rangifer dentition to estimate age and can be utilized with complete or fragmentary mandibles, including isolated teeth. • A novel tooth wear age estimation method is developed for caribou and reindeer. • The method is built using a large sample of mandibles from several herds. • It includes a user-friendly manual with caribou teeth wear illustrations. • The method can be applied to complete mandibles and isolated teeth.
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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 | 0.001 | 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 | 0.020 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".