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Record W2120618225 · doi:10.1159/000242414

Deciduous Tooth Growth in an Ancient Greek Infant Cemetery

2009· article· en· W2120618225 on OpenAlexafffund
Charles FitzGerald, Simon Hillson

Bibliographic record

VenueFrontiers of oral physiology/Frontiers of oral biology · 2009
Typearticle
Languageen
FieldArts and Humanities
TopicForensic Anthropology and Bioarchaeology Studies
Canadian institutionsMcMaster University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsDeciduous teethDeciduous toothDentitionDeciduous dentitionDentistryMedicine

Abstract

fetched live from OpenAlex

The Kylindra cemetery on Astypalaia in the Dodecanese, in use 750 BC to 1st century AD, contains a unique skeletal collection. Over 2,400 infant inhumations, each buried in its own clay pot, have been uncovered so far. The skeletal material from each burial is embedded within a ball of accreted earth and since 2001, some 850 infant remains have been recovered and conserved. Most of these died perinatally, but some were very premature babies and some appear to have survived for several months after birth. A study to estimate ages at death of 277 teeth from 107 infants, using microstructural growth markers, is currently underway. One immediate objective is to help resolve the enigma of why such an unusually large number of infants were interred on such a remote Aegean island. Longer term objectives are to reconstruct the sequences of development of the different deciduous tooth types, providing new standards of growth for long bones, the skull and the dentition. This paper presents an interim report on the findings from the histological study, which has analysed 68 teeth from 36 individuals so far. Five of the 36 infants survived birth, three dying within the first 3 weeks of life and the other two surviving for about 3 months. Average appositional growth rates were found to be 3.6 microm/day, and initial mineralisation was found to be well below the figures in Sunderland and coworkers' study in 1987.

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 categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.377
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.000
Science and technology studies0.0000.021
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.033
GPT teacher head0.261
Teacher spread0.227 · 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 designObservational
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

Citations17
Published2009
Admission routes2
Has abstractyes

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