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  • Страшно было (не)всем? Обращение к эмоциональному труду медицинских сестер из «красной» и «чистой» зон больничного пространства во время пандемии COVID-19
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News
May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
May 25, 2026
'The Humanities Serve as a Conscience'
Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

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?

Страшно было (не)всем? Обращение к эмоциональному труду медицинских сестер из «красной» и «чистой» зон больничного пространства во время пандемии COVID-19

Журнал социологии и социальной антропологии. 2025. Т. 28. № 1. С. 27–56.
Baisha N.

The article is devoted to the study of the emotional labor of nurses involved in the pandemic crisis on the front line of the fight against COVID-19 and caring for patients not on the front line of the fight against COVID-19. The experience of nursing labor at the forefront of the fight against COVID-19 is characterized by extraordinary, as is the COVID-19 pandemic itself, considered as a historical event that complicated the work of representatives of the health system, regardless of their involvement in the fight against COVID-19. We are faced with the task of finding and describing similarities and differences in the experience of managing emotions, in practices and opportunities for support by nurses safe working conditions in different zones of the hospital space. The choice in favor of analyzing foreign studies was made due to the insufficient representation in Russian-language scientific publications of the labor of non-frontline nurses. Due to the lack of Russian-language research on a given topic, it is difficult to assume what nurses, not only from covid, but also from non-covid departments with different resources to maintain safe working conditions, encountered in their work. It will be even more difficult to understand the reasons for the (non)sensitivity of nurses to various forms of inequality in the workplace after the pandemic, after their reunification into the teams of non-covid departments. In this regard, we consider it advisable to review the empirical experience of English-speaking authors of scientific publications that problematize (not always using sociological approaches) the labor of frontline and non-frontline nurses, demonstrating similar risks arising in their emotional labor and different ways to minimize them. The application of the concept of emotional labor helps us in interpreting the results of interdisciplinary research abroad on the emotional experiences at the nurses of the hospital space. Generalization of foreign experience makes it possible to build a logic for further analysis of similar working conditions for nurses from Russia.

Research target: Sociology (including Demography and Anthropology
Language: Russian
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Keywords: emotional laborэмоциональный трудобзор литературыCOVID-19 pandemicпандемия COVID-19 literature reviewnursesмедицинские сестрыfrontline nursesnon-frontline nurseзоны больничного пространства
Publication based on the results of:
The diversity of forms, effects and barriers to integration of modern Russian society in synchronic and diachronic dimensions (2025)
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