Revitalization of Civil Participation of the Population in the Activities of Local Self-Government Bodies

Civil participation of the population in Kazakhstan is considered one of the most important factors in the development of local government system, while the actual level of participation remains at a low level. The forms of manifestation of civil and social participation of the population in the realization of citizens’ rights to governance are limited, and social passivity is a characteristic feature for residents of local regions. The relevance of the research work is determined by the need to activate the civil participation of the population in the activities of Local Self-Government Bodies in Turkestan as a typical representative of a small urban district. The primary purpose of the research work is to find and substantiate ways to activate the civil participation of the population in the activities of Local Self-Government Bodies in Turkestan. Research methods such as Descriptive analytics (Nearest Neighbor Analysis), Diagnostic analytics (Pearson’s R - Spearman Correlation) and Predictive analytics (Neural Networks - Multilayer Perceptron) were used. Statistical and Analytical research was carried out using SPSS and R statistics software. A sociological survey was conducted among residents of Turkestan, and other materials were collected from such sources as the results of structural appeals of citizens to the administration of Turkestan and the results of the activities of the administration of Turkestan in the field of working with citizens’ appeals. As a result, the main causes of problems of civil activity of the population in Turkestan were identified and the “Solution Tree” method was used to solve the main problems in this region.

1. Artemyev, G.V., Aminov, I.R. (2016). Interaction of the population in local government: current state and prospects. Young scientist, 446-449. https://moluch.ru/archive/130/35908/

2. Barbini, P. (2002). Nearest-Neighbor Analysis of Spatial Point Patterns: Application to Biomedical Image Interpretation. Istituto di Chirurgia Toracica e Cardiovascolare e Tecnologie Biomediche, Università di Siena, 53100, Siena, Italy, 21-23. https://doi.org/10.1006/cbmr.1996.0035

3. Hauke, J., Tomasz, M. (2011). Comparison of Values of Pearson’s and Spearman’s Correlation Coefficients on the Same Sets of Data. https://doi:10.2478/v10117-011-0021-1

4. Gardner, M.W. (1997). Artificial neural networks (the multilayer perceptron)—a review of applications in the atmospheric sciences. Atmospheric Environment, 10-13. https://doi.org/10.1016/S1352-2310(97)00447-0

5. Kenneth, O., Ottenbacher, J. (1994). The chisquare test: Its use in rehabilitation research. Archives of Physical Medicine and Rehabilitation, 18-22. https://doi.org/10.1016/S0003-9993(95)80639-3

6. Kolesnikova, N. A., Ryabova, E. L. (2016). Civil Society in Modern Russia. International Publishing Center “Ethnosocium”.

7. Konstantin, S.B. (2013). Decision trees: a recent overview. Artif Intell Rev 39, 261-283. https://doi.org/10.1007/s10462-011-9272-4

8. Lian, Sh. (2022). How closing civil society space affects NGO-Government interactions. Journal of Human Rights, 11-18. https://doi.org/10.1080/14754835.2022.2158723

9. Melas, A., Farstad, M., & Frisvoll, S. (2023). Rural youth: quality of life, civil participation. Manchester University Press, 267-270. https://doi.org/10.7765/9781526161642.00026

10. Maikova, E.Y., Simonova, E.V. (2014). Civic participation of the population as a factor in the development of local self-government in Kazakistan municipalities. Society and power, 105-109.

11. Özden, M. (2023). Active participation or legal obligation? A qualitative study. Springer Link, 12-15. https://doi.org/10.1007/s11135-023-01658-z

12. Official website Office of the Akim of Turkestan city. (2023). https://www.gov.kz/memleket/entities/turkestan-kalasy?lang=ru