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Record W2900970692 · doi:10.29173/comp51

Changes in Dietary Consistency and the Epidemiological Occlusal Transition

2018· article· en· W2900970692 on OpenAlexaffvenue
Elsa Morgan Van Ankum

Bibliographic record

VenueCOMPASS · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicForensic Anthropology and Bioarchaeology Studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCraniofacialMasticatory forceSubsistence agricultureMalocclusionDentitionTooth wearPopulationOrthodonticsDentistryGeographyMedicineArchaeologyEnvironmental health

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.535
Threshold uncertainty score0.953

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.049
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.067
GPT teacher head0.286
Teacher spread0.219 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2018
Admission routes2
Has abstractyes

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