Pottery of the late 16th — first quarter of the 18th c. from the Sofia yard of the Tobolsk Kremlin and the Upper town: comparative morphological analysis
Bibliographic record
Abstract
The article presents morphological analysis of ceramic complexes from excavations in 2006 and 2017 in the city of Tobolsk. The pottery came from two areas: the Tobolsk Kremlin and the Upper town (9 Oktyabrskaya st.). Within this research, we aimed to conduct comparative analysis of morphology of the tableware from these sites to assess its similarities. From the two areas, 2261 ceramic fragments have been analyzed, and 200 vessels (counted by rims) from the late 16th c. — first quarter of the 18th c. layers have been identified. By the production technology, the dishes are non-glazed, made mainly on the pottery wheel. Hand-made ceramics have also been found in small quantity (less than 2 %). The assemblage is dominated by pot-like dishes (94.5 %). The proportion of cupped dishes is small. Other types of dishes (large pot, washbasin pot) have been found in single numbers. Based on the appearance of rims and necks, three types of pots and five types of bowls have been identified. Comparison has been made between the diameter of the mouth and the type of pot. Further examined were the frequency of occurrence of dishes with different colors and type of surface treatment, dimensions of bottoms, frequency of adding of sand to the surface of the pottery wheel. The assemblages have been compared to the late medieval ceramics of the northern, north-western and central regions of Russia, as well as the Urals and Siberia. Comparisons have been also made with the results of other studies of the Tobolsk ceramics. Statistics show that the pottery complexes are very similar to each other, both in large groups (pot-shaped and cup-shaped ware) and by other parameters (color and type of surface treatment, rim shape, mouth and bottom size, the ratio between types and diameters of pot mouths). Differences have been identified in the proportion of higher quality light gray dishes, being 2.5 times larger in the territory of the Upper town than in the Sofia yard. The difference is also expressed in proportions of the three types of pots. Type I prevails in the territory of the Upper town, and types II and III — in the Sofia court. Bowl-shaped dishes are diverse (3 types) and are present in both parts of the town. The quality light gray and black-glazed vessels of this type have been classified as tableware, partially for the lack of traces of soot. With this classification, the proportion of bowls defined as tableware constitutes 3 %. Comparison of the assemblages with the late medieval pottery from other regions of Russia revealed close analogies. But in terms of the general range of dishes, Tobolsk stands behind the cities of the European part of the country.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.010 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".