History of Kyakhta Trade and Russian Merchants in Research Works of Zhargal Z. Tagarov (1952–2020): Commemorating the 70th Anniversary of His Birth
Bibliographic record
Abstract
The article is dedicated to the pioneering contribution of the Irkutsk scholar, associate professor of Baikal State University, Zhargal Z. Tagarov, to the study of the Kyakhta trade phenomenon and the Russia-Mongolia-China trade relations in the XVIII–XX centuries. The Irkutsk school of Oriental and Mongolian Studies has deep scientific traditions, laid down by the first Irkutsk translators and interpreters, who conducted complex negotiations with the officials of the Qing Empire and Outer Mongolia back in the XVII century. Irkutsk, due to the geographical and historical reasons, became the place of the making of the first Russian experts in Mongolian and Chinese studies, experts in the Chinese, Manchu and Mongolian languages. Providing Zhargal Z. Tagarov’s research works as an example, the authors make an attempt to show the contribution of the Irkutsk school of Mongolian Studies of the last quarter of the XX century to the research studies of complicated processes of economic and trade interaction between Russia, Outer Mongolia and the Qing Empire.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".