Gulnara Mustagaliyeva
Department of Translation Studies and Foreign Languages, Kh. Dosmukhamedov Atyrau University, Atyrau 060000, Kazakhstan
Akhmaral Khairzhanova
Department of Translation Studies and Foreign Languages, Kh. Dosmukhamedov Atyrau University, Atyrau 060000, Kazakhstan
Rita Bissenbayeva
Department of Translation Studies and Foreign Languages, Kh. Dosmukhamedov Atyrau University, Atyrau 060000, Kazakhstan
Laura Muratova
Department of Translation Studies and Foreign Languages, Kh. Dosmukhamedov Atyrau University, Atyrau 060000, Kazakhstan
Assel Maratova
Department of Translation Studies and Foreign Languages, Kh. Dosmukhamedov Atyrau University, Atyrau 060000, Kazakhstan
Kulpash Koptleuova
School of Arts and Sciences, Baishev University, Aktobe 030000, Kazakhstan
The purpose of the research is to analyze the content of the concept of "man" - "woman" based on Kazakh proverbs. The study of the concepts "man" and "woman" allows us to approach the study of gender as a cultural representation and reveal all its many-sided content, namely social, psychological, and cultural aspects. The analysis of proverbs in the research material is quite justified. Proverbs, reflecting folk wisdom, appear as a product of the people's creativity. They do not only reproduce the national-specific vision of the world, but also participate in its formation, and play a significant role in enriching the language with cultural concepts. They demonstrate the Kazakhs' idea of men and women as part of their linguistic worldview. Thus, to get the most complete picture of how gender manifests itself in the stereotypes fixed by the language, we consider it appropriate to describe the proverbial units of the Kazakh language, which reflect gender stereotypes. A comprehensive literature review was conducted to select appropriate material for analysis. A total of 30 Kazakh proverbs were selected from different sources. The data were analyzed using qualitative analysis to identify common patterns related to gender stereotypes.
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Copyright © 2024 Gulnara Mustagaliyeva, Akhmaral Khairzhanova, Rita Bissenbayeva, Laura Muratova, Assel Maratova, Kulpash Koptleuova
This is an open access article under the Creative Commons Attribution 4.0 International License.
