Археологічні джерела до вивчення етногенезу українців
Bibliographic record
Abstract
The problem of the ethnogenesis of the Ukrainian people, and especially its origins, remains one of the key issues for Ukrainian studies. It must be stated that research in this field has not yet become systematic, leaving a wide field for various speculations. The study of ethnogenesis requires a complex approach that should combine studies in archaeology, physical and cultural anthropology, ethnology, linguistics, and history. However, for the study of the early stages of the formation of the Ukrainian ethnos, archaeological sources are of key importance. In the context of the origin and early stages of the formation of Ukrainians, the materials of Slavic archaeological cultures of the early Middle Ages, known on the territory of Ukraine – Prague, Penkiv, and Kolochyn in the 5th–7th centuries are of fundamental importance, and Raikovets, Volyntsevo, and Romenska in the 8th and 10th centuries. The proposed article provides an overview and periodization of Slavic antiquities of the early Middle Ages according to modern research, highlights the role of archaeological sources in the study of ethnic processes. On the basis of written reports by early mediaeval authors, the historical and ethnic interpretation of the archaeological cultures of this era is considered. The period following the large-scale migrations of the Hunnic era (the last quarter of the 4th century–the middle of the 5th century CE) was associated with the entry of Slavic tribes into the historical arena and the appearance of the first truly Slavic archaeological cultures. In the course of the colonisation movement, the Slavic tribes developed the territory of the steppe borderland, forest steppe, and forest zone in the south of Eastern Europe, and some later settled large areas in the Danube and the Balkans, as well as in the region north of the Carpathians, reaching the confluence of the Elbe and Saale in the west. The archaeological reflection of this process was the spread of monuments of the Prague, Penkiv, Kolochyn, and Dzedzytska cultures and monuments of the Ipotesht – Kindesht – Churel types. It is these cultures that are correlated with the Antes and Sclavins of written sources. The Great Migration became a key phenomenon in the early history of the Slavs and laid the foundation for the beginning of the ethnogenesis of modern Slavic peoples, including Ukrainians.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 0.007 |
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".