PERIODICALS OF THE CIVIL WAR PERIOD (1917–1920) IN THE FUND OF THE RESEARCH LIBRARY OF TSU: PRESERVATION AND RESTORATION AS A FACTOR IN THE DEVELOPMENT OF SIBERIAN STUDIES
Bibliographic record
Abstract
The Research Library of TSU has an extensive collection of periodicals – newspapers and magazines, published in the east of Russia during the revolution and the Civil War. The periodicals of the revolutionary era are a valuable source for humanities researchers due to the uniqueness of the material, which they contain. The demand for periodicals and their importance as a source actualize the problems of preservation and accessibility of these sources for researchers. The purpose of this publication is to present the experience of the Research Library of TSU, accumulated during conservation and restoration of Siberian and Far Eastern periodicals published in the first quarter of the 20th century. Besides that, it’s particularly important to assess its significance in the inclusion’s context of the source types in Siberian interdisciplinary research. The sources for the study were the periodicals of the 1917–1920s, stored in the Research Library of TSU, as well as scientific literature devoted to the problems of preservation and restoration of library funds. The working hypothesis of this paper is the statement that preservation and restoration can be one of the important stages in the research of unique library collections and during the creation of scientific electronic resources. The authors consider a number of factors affecting the preservation and organization of researchers’ work with this type of source. These factors include: material characteristics and print quality of the sources; historically changing storage conditions; nature and intensity of use; features of the restoration work and the materials used in this. Consideration of these factors led to the following conclusions. Firstly, the preservation and restoration of periodicals is not just a condition for conducting research. It’s important part of the research that gives to reconstruct the circumstances of its origin and use. Secondly, obtaining information about the existence contexts of the source can be useful when carrying out restoration measures, which can preserve its original appearance. Finally, digitization and further work with documents in electronic environment is impossible without ensuring safety. Thus, ensuring the preservation and restoration of Siberian and Far Eastern publications of the Civil War period is an important condition for the implementation of Siberian studies, including in the digital environment. It’s especially important when scientists have limited access to sources for one reason or another.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.009 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".