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News
June 2, 2026
HSE Study Reveals Imbalance in the Generative AI Market
Researchers at HSE University analysed how effectively the global generative artificial intelligence market converts investment into real revenue, concluding that AI is currently developing faster than it is paying off. The results have been published in the journal Foresight and STI Governance.
June 2, 2026
Discovering Science through Russian Language: HSE Prep Year Students Present at International Conference in Kazan
On May 23, 2026, the V International Scientific and Practical Conference ‘Discovering the World of Science’ took place in Kazan at the Preparatory Faculty for International Students of Kazan Federal University. Four students of the HSE International Preparatory Year took part in the event: two delivered their presentations in person, while two participated online. Their work was supervised by Acting Director of the International Prep Year Irina Isaeva and lecturer Ekaterina Kozhemyakova.
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.

 

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Особенности идентичностей и мировоззрения основных страт современного российского общества

Мир России: Социология, этнология. 2020. Т. 29. № 1. С. 6–30.
Tikhonova N. E.

The article analyzes the specifics of identities and attitudes of the three main strata of Russian society, identified on the basis of M. Weber's ideas of positive and negative privileges. Based on the materials of two all-Russian surveys carried out by FCTAS RAS in 2015 and 2018, it is demonstrated that these strata differ among themselves not only in their level of well-being, professional composition and educational level, but also in their identities, social well-being, attitudes, norms and values systems and assessments of current situation in Russia. While the lower and middle strata are relatively close to each other, the upper stratum (about 20% of Russians) stands out with pronounced specifics of identities, planning horizon, prevalence of nonconformist attitudes and type of locus control. The life goals of the top stratum representatives more often have a character of achievement, and their assessments of the situation in Russia, unlike those of the rest of Russians, are quite optimistic. Requests of representatives of this stratum to the state also have their own specifics, in particular there is a pronounced request for a country's breakthrough in science and high technologies. At the same time, solidarity attitudes are less common in the upper stratum, while stigmatization of the poor is more common. It is noted that the features of the attitudes and norms and values systems of the upper stratum are also reflected in the behavioral strategies of its representatives. It is concluded that the defined strata correspond to the main criteria of the classes in their neo-Weberian interpretation, and within the framework of this social structure model the upper stratum can be considered the middle class, which has pronounced specificity not only of its objective, but also subjective characteristics.

Research target: Political Science, International Relations, and Public Administration Sociology (including Demography and Anthropology
Priority areas: sociology
Language: Russian
Full text
DOI
Keywords: социальное воспроизводствосоциальный статусстратысоциальная стратификация в Россиисоциальная структура в Россииsocial statussocial reproductionidentitiesmiddle stratalife chancesидентичностиSocial stratification of Russian societysocial structure in Russiastratification modelsмодель стратификации жизненные шансы
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