Два новых сельских могильника в Подонцовье
Bibliographic record
Abstract
The paper bears on new materials of the rural cemeteries on the left bank of the Seversky Donets river. The data obtained from the burials have enabled us to determine their chronology (the third quarter of the VIIIth century - the end of the Xth century) and to analyse their funeral rite features. Having correlated our data with those published earlier we could localize the cemeteries related to the neighbouring settlements, to specify their topography as to the land relief, climate conditions and economic activity of the population. The authors suggest that the burials layout (planigraphy) on each cemetery, their distinct parcelling into two sections (Chemikovo - Serebryanskoye, Dronovka -Platonovka. Novolymaryevka I and II) reflects not so much chronological or confessional differences, as kindred and social ones. The burials having some specific elements of the funeral rite (the prone position of the deceased), this adds to the knowledge of ihe character of the rural burial grounds in the Seversky Donets basin of Zlyvky type.
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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 | 0.007 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.052 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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; both teacher heads agree on what is shown here.
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".