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DOI: 10.18413/2408-932X-2024-10-1-0-5

Generalized Representations of Siberia in Electronic Scientific Communications
 

This paper describes how we identified the images of a region and the regions’ generalized representations based on these multiple images. To illustrate this, we attempted to identify the generalized representations of Siberia, one of the largest regions on the planet. We analyzed open Internet resources on scientific research on Siberia that can lay the foundation for positioning Siberia in the contemporary world. To identify the generalized representations of Siberia, we analyzed the multiple images of Siberia in electronic scientific communications in Russia and abroad. Using ScienceGate (SGP) and the Bielefeld Academic Search Engine (BASE) services, we studied the abstracts of papers published in the International Peer Reviewed Journals in 2013–2020 and 2020–2023. After that, we analyzed the set of images of Siberia we found in electronic scientific communications and identified the generalized representations of Siberia. This region was chosen for two reasons: Siberia 1) acts as an indicator to predict the consequences of such changes as climate change, global warming and others for the planet; and 2) can be interesting for researchers in different scientific areas. Defining the generalized representations of Siberia might further scientific prognosis as researchers will be able to better understand the potential of this region. The method we utilized may be applicable to identifying generalized representations of other regions and contribute to their comprehensive study from different perspectives, including interdisciplinary scientific research.

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