Bibliographic record
Abstract
Dental anthropology is a key discipline in studies to determine the evolutionary history of our hominid ancestors, to identify the origin and dispersal of modern humans, and to reconstruct the source of observed dental variation. A survey of hominid and modern human evolutionary history, emphasizing results from powerful multivariate dental morphometric methodologies, suggests a single African origin of modern humans > 150,000 years before present from a Homo heidelbergensis ancestor. A continuum among modern humanity is described, with, first, sub-Saharan Africans, then southeast Asian Negrito, and Australian aborigines at its extant root. Other interpretations of the available data are possible. Examinations of the progress of the evolution of teeth through time give significant insight into dental morphogenetics and variation, and the biology of dental evolution. The mechanisms of evolution which fashion a phenotype and the methods of molecular and dental phylogenetics are reviewed and evaluated. This is an exciting time for dental anthropology, with fascinating and challenging questions to address, but anthropologists, not dentists, dominate the field. The perspective of a dentist can meaningfully add to the dynamics of dental anthropology.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 0.014 |
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".