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  • СЕМЬЯ ДЛЯ СРЕДНЕДОХОДНЫХ СЛОЕВ НАСЕЛЕНИЯ:ТЫЛ ИЛИ РИСК?
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Subject
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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СЕМЬЯ ДЛЯ СРЕДНЕДОХОДНЫХ СЛОЕВ НАСЕЛЕНИЯ:ТЫЛ ИЛИ РИСК?

Журнал исследований социальной политики. 2017. Т. 15. № 3. С. 435–452.
Lezhnina Y. P.

The article is based on the monitoring data of Institute of Sociology RAS, 2016. It examines the socio-demographic characteristics of middle-income groups and pays a particular attention to the household characteristics in terms of the potential risks. The middle-income groups are determined according to the relative approach to social stratification - through comparison of average household income with median of this indicator.

It is shown that the middle income strata, being heterogeneous, is divided into two fundamentally different groups with remarkably different level of economic risks. The lower part of this strata, despite the fact that its income corresponds to the "national average" level, is probably on the verge of vulnerability, being sensitive to the socio-economic instability. Its sociodemographic factors, including the family structure, cause additional risks (high dependency load, big percentage of non-working pensioners in the household, etc.). At the same time the extended family outside the household can provide only limited support for this group.

Research target: Sociology (including Demography and Anthropology
Priority areas: sociology
Language: Russian
Full text
DOI
Text on another site
Keywords: семьяfamilyиждивенческая нагрузкаdependency loadсреднедоходные слоиvulnerable groupsуязвимые группыmiddle-income groups
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