Bibliographic record
Abstract
The research problem importance is determined by rather poor investigation of trade links in the Middle and Lower Volga region during the times of the Golden Horde; importance of the problem is also caused by the necessity to get the results for writing summarized works on Archaeology, History of trade and to use them during the creation of museum exhibitions and design of educational programs for undergraduate and post-graduate students. The article goal is to describe the leading fields of foreign trade in Lower Volga region as a part of Jochid state and the problems of domestic trade links at this land. The leading method for the problem research is the complex analysis of the data: written, archaeological and numismatic sources that allow get the most complete and realistic view of the trade links. The article is presenting the results that show significant rise of trade connections development in the Volga region of the researched period and the breadth of trade contacts and the peculiarities of inner trade. We also defined the features and the level of trade links development in the Volga region during the period of the Golden Horde. The article materials can be useful for research of the Golden Horde economy as well as the history of World Trade.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".