История: факты и символы (Jun 2022)

STUDY OF THE MANAGEMENT APPARATUS OF THE MOSCOW STATE IN THE XXI CENTURY

  • N. V. Rybalko

DOI
https://doi.org/10.24888/2410-4205-2022-31-2-78-91
Journal volume & issue
Vol. 0, no. 2
pp. 78 – 91

Abstract

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The study of the functioning of the prikaz apparatus in the person of the figures of the central departments – clerks, as well as employees of the administration offices at the local level – began at the end of the 18th century. To date, a fairly large layer of information has been accumulated both on the activities of the prikaz institutions themselves, and on their personal composition. But still a huge number of questions have no answers. At the end of 20th – beginning of the 21st century there has been a qualitative turn in the subject of historical research and in methods. In this regard, an assessment of the trends that have emerged in the past 20 years in the study of clerks as the most important social category of the Moscow state seems relevant. The typological method was used, which helps to recognize the individual characteristics and originality of each study in the general stream of historical thought, and the historical-systemic method, which involves identifying patterns and an integrated approach to the study of works within a specific topic. The article is based on the most significant studies on the history of the administrative office of the Moscow State in the 16th – 17th centuries, carried out from 2000 to 2021. As a result of the study, it can be concluded that the interest in the prikaz system of the Moscow state and its leaders is only growing. Now there is an opportunity to study the genealogy of clerical families, restore social origin and family ties, reconstruct personal and collective biographies, use interdisciplinary approaches from the field of psychology, cultural studies, and informatics. The digitalization of archival documents and the creation of open-type prosopographic databases will significantly speed up the processing and systematization of disparate data.

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