Preliminary Results of the Research Into the Sites of the Xianbei Period in the Kazakh Altai
Bibliographic record
Abstract
This article is devoted to the preliminary results of the study of the materials obtained during the excavations on the territory of the Kazakh Altai archaeological complex of the Xianbei period at the Berel burial ground. Aft er the fall of the Hunnic Empire, the nomadic association of Xianbei, known from Chinese written sources, had a huge infl uence on the appearance of the archaeological cultures of Altai. For the fi rst time in Altai, archaeological material concerning this polyethnic community was obtained in the last quarter of the last century. However, for a long time, archaeologists could not identify the Xianbei site from other numerous excavated archaeological sites. For the purpose of detailed cultural and chronological identifi cation, Chinese materials were used, which made it possible to bring the problem of identifying Xianbei sites to a qualitatively new level. On the territory of the Kazakh Altai, the period of intensive study of the Xianbei circle of sites began in 2015, when a series of new funeral and memorial structures was opened. These studies allowed not only expanding the boundaries of this community and, but also putting forward the thesis about the large-scale penetration of the Xianbei in the 3rd–4th centuries AD into the territory under consideration.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".