КУЛЬТУРНО-ИСТОРИЧЕСКИЕ ПРОЦЕССЫ НА СЕВЕРО-ВОСТОЧНОЙ БАЛТИКЕ В V-VIII ВВ. И ВОЗНИКНОВЕНИЕ ПРОТОГОРОДОВ СЕВЕРО-ЗАПАДА
Bibliographic record
Abstract
В статье культурно-историческая ситуация на Северо-Западе Восточной Европы в V-VIII вв. рассматривается как период активного взаимодействия двух культурных миров. Первый из них представлен прибрежными памятниками Восточной Балтики, другой - памятниками лесных культур. Ранние города - Ладога, Псков и Изборск - возникают в третьей четверти I тыс. в зоне непосредственных культурных контактов как важные узлы в сетях обмена не только товарами и сырьем, но также технологией и информацией. Начальное градообразование на Северо-Западе Восточной Европы - часть общего процесса развития городов и сложения системы коммуникаций на Балтике в эпоху раннего Средневековья. The article considers the cultural and historical situation in the North-West of Eastern Europe in the 5-8 centuries as a period of active interaction between the two cultural worlds. The first world is represented by the coastal sites of the Eastern Baltic, the other by the forest culture sites. Early cities of Ladoga, Pskov and Izborsk appear in the third quarter of the 1 millennium in the direct cultural contact zone as important points in the networks of exchange not only of goods and raw materials, but also of technology and information. The initial town formation in the North-West of Eastern Europe is part of the overall process of urban development and the Baltic communication system formation in the early Middle ages.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.040 | 0.017 |
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".