The archekas celt and the issue of the seima-turbino period in the kuznetsk basin and in the achinsk-mariinsk forest-steppe
Bibliographic record
Abstract
This study focuses on the typological, cultural and chronological attribution of the Seima-Turbino bronzes, which were found in the Kuznetsk Basin and the Achinsk-Mariinsk forest-steppe. The authors provide a general review of pseudotextile ceramics, which were widespread in the early 2nd millennium BC in the area spreading from the Tom River to the Tobol River. It is suggested that this cultural association of the Kuznetsk Basin is related to the Seima-Turbino antiquities. The dating of the Krokhalevka pseudo-textile ceramics to the end of the 3rd millennium BC – the fi rst quarter of the 2nd millennium BC is substantiated. It is argued that the defi nition of the “Samus-Seima” period is incorrect and does not correspond to modern scholarship.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".