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Subject
News
October 19, 2026
'Cultural Studies Seeks to Understand What Lies Beneath the Surface of Everyday Things'
Maxim Zhiganov has been exploring different aspects of sound for many years—first in relation to his native Perm and then on a broader, global scale. In this interview for the HSE Young Scientists project, he talks about sound maps, the special issue of the journal Logos, and why it is important to make the familiar less clear and obvious.
October 14, 2026
At HSE University–St Petersburg, Experts Discuss How AI Changes Tourist Routes and Cultural Heritage
Neural networks are no longer simple travel assistants; now they decide what to include on the route and what to skip. Artificial intelligence changes how people perceive a place and shapes the image of tourist centres. At the II International Scientific and Practical Conference ’Information Technologies in the Preservation and Promotion of Cultural Heritage,’ researchers discussed who controls algorithmic solutions and in what ways, and whether authentic traditions get lost in them.
October 12, 2026
Road Injuries Leading Cause of Death Among Men Aged 10 to 39
Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.

 

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Факторы относительной и абсолютной бедности

Гл. 2.6. С. 273–293.
Slobodenyuk E.

The chapter focuses on the specifics of poverty, captured by different methodologies. There are 2 groups under analysis - population with incomes a) less than 1 PM and b) less than 0.5 times the median per capita incomes. Econometric analysis (logit regression) is used to identify impoverishment factors in each case, and descriptive statistics is used to describe portraits of the groups.

The relative poverty line (0.5 median per capita income) cuts a significantly smaller share of the poor (6% of the population) than absolute methodology (25%). All the features characteristic of Russian poverty are more pronounced here than among the absolutely poor. Relatively poor often occupy positions, to a lesser extent guaranteeing their labor rights. As a result they more often lose their jobs during economic recessions, face forced exit on unpaid leave, reduction (or delay) of wages, etc. This situation is probably explained by the concentration of relative poverty in rural areas wich characterises by a weaker and smaller labour market than in urban types of settlements.

Based on the analysis, author comes to the conclusion that the relative poverty line of 0.5 times the median per capita incomes is not the poverty line in its traditional sense, but a 'deep poverty line'. Russian poverty is not limited to this gropup and is really widespread much more widely.

Language: Russian
Full text
DOI
Keywords: российское обществометодологиябинарная логистическая регрессияуровень жизниrussian societymethodologybinary logit modelабсолютная бедностьотносительная бедностьlevel of liferelative povertyabsolute poverty

In book

Модель доходной стратификации российского общества: динамика, факторы, межстрановые сравнения
Модель доходной стратификации российского общества: динамика, факторы, межстрановые сравнения
Tikhonova N. E., Lezhnina Y. P., Mareeva S., Anikin V. A., Каравай А. В., Slobodenyuk E. Издательство Нестор-История, 2018.
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