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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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Symbolic Interaction as a Sociology of Concern: Revisiting the Theory of Reflexivity Methodologically

Journal for the Theory of Social Behaviour. 2026. Vol. 56. No. 1.
Zaichenko L.

This paper attempts to revisit the critical realist theory of reflexivity, derived from the pragmatist tradition of symbolic interactionism (SI). It discusses how interactionist sociology, with its emphasis on investigating microstructures through meaning‐making, has formed a critical realist theory of reflexivity that serves as a theoretical bridge between the micro and macro levels—specifically, between ‘subjective concerns’ and cultural and structural stability and change. The paper focuses on Margaret Archer's theory of reflexivity and internal conversation as a critical realist response to social constructionism, connecting it to SI, particularly through Herbert Blumer's framework. It proposes a holistic approach to studying reflexivity through human concerns. By underscoring the interconnection between SI methodology and the critical realist theory of reflexivity, the paper offers a triangulation of several qualitative methodological strategies to study reflexivity in a more rigorous manner also providing a connection between the purely interpretive and the positivistic traditions

Research target: Social Sciences Sociology (including Demography and Anthropology
Language: English
DOI
Text on another site
Keywords: этнографиясимволический интеракционизмcausalityethnographysymbolic interactionismhistorical analysisисторический анализreflexivityрефлексивностьпричинно-следственная связьсоциология заботыsociology of concerninterpretive methodsинтерпретивные методы
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