Deciduous Tooth Growth in an Ancient Greek Infant Cemetery
Bibliographic record
Abstract
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.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".