Changes in Dietary Consistency and the Epidemiological Occlusal Transition
Bibliographic record
Abstract
Malocclusion is the misalignment of the human dentition and craniofacial complex. Orthodontic treatment to correct this is quite common in modern Western contexts, and has variable prevalence in other areas as well. The archaeological record stands in stark contrast, with most past humans having teeth that align well. What could cause different populations to exhibit these characteristics? There is evidence in both modern and archaeological contexts that levels of dietary masticatory stimulation during development greatly change occlusal characteristics. Additional bite force and number of chewing cycles creates a flatter Curve of Spee, greater subnasal prognathism, and increased progressive tooth wear, which together facilitate better occlusion. With dietary changes such as those seen in the Industrial Revolution, the comparatively softer food creates widespread malocclusion in the effected population. These ideas are explored in terms of archaeological and contemporary case studies. Health transitions such as this commonly coincide with major changes to subsistence style, and can help biological anthropologists better understand the experiences of those in the past.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 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".