Preliminary Results of the Research of Anthropological Material from Tomb I of an Aisleless Quarter Church at Eski-Kermen Plateau
Bibliographic record
Abstract
In 2018, the joint expedition of the Institute of Archaeology of the Crimea of the Russian Academy of Sciences and the History and Archaeology of the Crimea Research Centre of the V. I. Vernadsky Crimean Federal University continued the long-term systematic excavations of a residential quarter of the mediaeval town located atop of Eski-Kermen plateau. The regular research uncovered new rooms in the previously excavated mediaeval buildings with adjacent areas of the main and streets and a wall of a previously unknown church with tomb I annexed to it. The researchers of Crimean medieval Christian monuments have paid attention to a great variety of burial traditions connected with constructions of burials and the ways of using them. As a rule, the majority of mediaeval burial constructions at Eski-Kermen plateau were continuously used throughout a long period. The given paper examines the material obtained from tomb I annexed to the wall of an aisleless church. In the tomb under study, there are skeletons of some of the buried persons laying in anatomic order. All the bones of the individuals buried in the tomb occurred within this burial construction. The preservation of bone remains can be evaluated as satisfactory. In the course of work, quantitative and sex-age-related characteristics of the buried persons have been determined; the analysis of palaeopathological conditions has been made; a number of non-metric features has been documented. Epigenetic features more often appeared on the cranium bones; it is possibly connected with the preservation of the bones of postcranial skeletons. Among pathological developments, diseases related with teeth-maxillary apparatus are most common. Diseases of locomotor apparatus have been documented on the bones of vertebral column and big joints of long bones of arms and legs of all sexually mature individuals. Some changes typical of the Forestier disease have been recorded at the backbone of one of the buried male individuals. Pathological changes caused by iron-deficient conditions, inflammatory processes, and changes of osseous tissues connected with physical overexertion of osseous apparatus caused by extreme physical burden have been recorded among those who were buried in tomb 1. Only one traumatic lesion has been documented at the new material.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".