Conflict of political values between generations in the Republic of Kazakhstan: an empirical study

Abstract

This article examines the problem of intergenerational conflict of political values in the Republic of Kazakhstan. Against the background of globalization, digitalization and the rapid development of information technology in the country, there is a divergence of political views and social orientations between different generations. While the older generation tends towards traditional values, stability, and strengthening the role of the state, the younger side of the new generation considers democratic freedoms, active citizenship, and free expression through social media important.

The article analyzes the historical, social, and cultural causes of intergenerational political differences and examines their impact on political legitimacy, civic unity, and democratic processes in society.

The theoretical essence of the research is a thorough study of the mechanisms of formation and spread of conflict of political values between generations in the context of social transformation of Kazakh society.

The practical significance of the study is the opportunity to identify the identified patterns in creating effective mechanisms for establishing intergenerational dialogue in the political sphere, promoting youth policy in the state and implementing public projects to reduce political polarization among age groups and strengthen the social unity of Kazakh society.

The study used a comprehensive version of methodological approaches combining qualitative and quantitative methods. During the collection of experimental data, a survey of the population from different regions of Kazakhstan aged 18 to 70 years was conducted, divided into three age groups. A focus group interviews and content analysis of discourses on social networks was conducted. The theoretical framework is based on the theory of generations and a review of the literature of domestic and foreign scientists on political culture and the pace of value change. Studied using SPSS and Excel programs for statistical data processing.