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Record W2099583304

Источники по дореволюционной истории Сибири в архивных и книжных собраниях США, Канады, Великобритании и Германии

2015· article· ru· W2099583304 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueBulletin of Kemerovo State University · 2015
Typearticle
Languageru
FieldComputer Science
TopicLibrary Science and Information
Canadian institutionsnot available
Fundersnot available
KeywordsGermanLibrary scienceHistoryOrder (exchange)Period (music)Political scienceEconomic historyArchaeologyArtComputer science
DOInot available

Abstract

fetched live from OpenAlex

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 of Siberia in 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 in Canada, 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 from Russia 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.321
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0000.003
Open science0.0040.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.004

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.

Opus teacher head0.021
GPT teacher head0.182
Teacher spread0.161 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it