International conferences dedicated to the history of the Chinggisid states
Bibliographic record
Abstract
On August 19, 2024, Astana hosted an international conference on “Topical issues on the history of the Kazakh Khanate from the second half of the 15th – first half of the 18th century”. On August 20–21, another international conference was held, entitled, “Ethnopolitical history of the Jochi, Chagatai, Haidu and Moghulistan uluses” and dedicated to the 800th anniversary of the formation of the Jochid Ulus. The event was organized by the Ministry of Science and Higher Education of the Republic of Kazakhstan, the Scientific Institute for the Study of the Jochid Ulus. More than 70 leading scientists, specialists and researchers researching the history of nomadic societies and empires, including the history of the Kazakh Khanate and the Golden Horde, from Kazakhstan, Russia, Uzbekistan, China, Canada, Japan, and Austria participated in the conferences. The conferences discussed the issues of studying the Kazakh Khanate and the ethnopolitical history of the Jochi, Chagatai, and Haidu Uluses which were formed during the collapse of the Mongolian Empire. Moreover the participants discussed the issues of developing the fourth volume of the History of Kazakhstan and creating a separate book dedicated to the history of the Kazakh Khanate. Within the framework of the 2nd conference dedicated to the history of the Jochi, Chagatai, Haidu uluses, and Moghulistan, a private screening was organized for the documentary film “Batu: Historical Detective” created by Kazakh director Rashid Nugmanov. The was contributed to by historians and researchers from Kazakhstan, Russia, Ukraine, Mongolia, France, Canada and the USA.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.062 | 0.005 |
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".