Contacts Between the Populations of Chirkovskya and Asbestos-Tempered Palayguba Ceramics
Bibliographic record
Abstract
In the end of the last quarter of the III millennium BC populations producing the Chirkovskaya (Fatyanovo-like) pottery combining the late Volosovo and Fatyanovo-Balanovo features migrated from the Upper and Middle Volga to the middle and northern taiga zone of Eastern Europe. On the southern and south-eastern coasts of Lake Onega migrating groups contacted with the aboriginal populations producing the Asbestos-tempered pottery of the Palayguba type. Contacts of the local and incoming groups, according to the results of the study, were restricted only to marriage and can be traced by the changes in the ceramic production. Differences in the spread of decoration motives, characteristic for local varieties of the Chirkovskaya pottery allow the author to suggest two main directions of the influence of migrating groups onto the aboriginal culture with the Palayguba ceramics. The frst vector of contacts starts in the Middle Volga region, continues to the Sukhona River basin and, through Lacha and Vozhe lakes, proceeds to the south-eastern coast of Onega Lake. The southern vector which is connected to the Upper Volga region, proceeds from the Beloye lake basin to the southern coast of Onega Lake.
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 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".