Pedigree Nests of Scythian Farmers’ Settlements of the Left-Bank Ukraine
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In the 20th Century. P. Tretiakov, B. Tymoshchuk, I. Froianov, V. Mavrodin, and others reasonably considered the nests of settlements as the remnants of the structure of tribal unions named in the ancient Russian chronicles. Archaeological research of settlements of the 7th–3rd centuries BC on the territory of Ukraine over the past hundred years have created opportunities for further social studies of the Slavs. As a topographical basis for searching for the nests of settlements of Slavic clans and tribes, we can, according to B. Rybakov, “take that stable territory, which already three times, on three chronological sections, showed the sameness of its main contours, the one that has already been repeatedly called the homeland of the Proto-Slavic tribes”. The study of the social structure of the tribes of Scythian farmers, who spread from the Right Bank to the territory of the Left-Bank Ukraine, we can begin by plotting their settlements on modern maps at a scale of 1: 250,000 in the basins of the Vorskla, Sula, Psel, Seim, and Seversky Donets rivers. The subsequent mapping of the settlements of the Scythian farmers in the area of the Right-Bank Ukraine and of the Nevri in the Upper Dnieper region will create the prospect of geographical, social, and linguistic research and identify the characteristic features of the ethnogenesis of the Slavic-Ukrainians from chronicle tribes to the era of iron, bronze, and copper.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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 it