SOURCES ON PRE-REVOLUTIONARY HISTORY OF SIBERIA IN THE ARCHIVES AND BOOK COLLECTIONS OF THE USA, CANADA, THE UK AND GERMANY
Bibliographic record
Abstract
In the XX century the research work in the Russian and later Soviet archives and libraries entailed great difficulties for foreign researchers. Under these circumstances the efforts of Westerns scholars aimed at creating archives and book collections of "Rossica" in their own countries were of key importance. The purpose of the paper is to review main collections of documentary materials and printed editions on pre-revolutionary history ofSiberiain foreign countries in order to make an objective evaluation of historical sources available to Western researchers. The author shows that such collections of materials connected with the early period of Siberian history have been deposited in the archives and libraries funds inCanada,Great Britain,Germany, and other countries. The largest collections of "Rossica" and "Sibirica" are located in the USA - in the Library of Congress; Harvard and Yale Universities; the University of Hawaii and the UC Berkeley; the University of Alaska Fairbanks; Hoover Institution on War, Revolution, and Peace at Stanford University; the National Archives in Washington, DC etc. For the most part these documentary collections appeared owing to the efforts of researchers who came fromRussia– F. A. Golder, M. Z. Vinokouroff, B. A. Bakhmeteff, G. A. Lensen, A. Ya. Gutman-Gan, V. Lado-Motsarskiy, A. S. Lukashkin and others. Western researchers compensated certain limitations of available sources on Siberian history by using the published materials, translating historical documents into English and German. With all the variety of sources on Siberian history kept in the archives and book collections outside Russia, Western historians still have the tasks of further expansion of source base, more active cooperation with the research centres, archives and libraries in Russia.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.012 | 0.033 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.043 | 0.007 |
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".