Problematika vícečetných pohřbů v novověku. Případová studie pohřebiště z 18. století v Semonicích u Jaroměře / Multiple Burials in the Early Modern Period. The case study of an 18th-century burial ground in Jaroměř–Semonice
Bibliographic record
Abstract
The study addresses the issue of multiple burials in the Early Modern period based on the example of the excavation of the burial ground near Jaroměř–Semonice (east Bohemia, Czech Republic). The rescue excavation of the site was conducted in 2017–2019. A group of 33 grave pits were set in an atypical position outside the regular cemetery, though in the vicinity of the niche chapel. A total of 66 individuals were buried here, with some some of them deposited in multiple graves. Based on an anthropological evaluation of the remains, the demographic structure does not correspond to the general population, as men and young individuals from the juvenis and adultus I age groups, the health condition of which was good, predominate among the deceased. Trauma associated with a violent death was not recorded. According to the indirect evidence of historical sources, we interpret the site as a probable epidemic burial ground where dead members of one of the military camps occurring nearby in the years 1745, 1758 and1778 were buried.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".