Abstract
This study develops and preliminarily validates an integral model for explaining normative approval of gender-role scenarios in four Turkic languages: Kazakh, Uzbek, Karakalpak, and Kyrgyz. The model combines associative indices, frame annotation, and vignette-based evaluation to determine how cognitive accessibility, role structure, domain localization, and cross-linguistic variation shape the perception of gender roles as permissible, expected, or socially supported. The methodological framework integrates cognitive-discursive, psycholinguistic, and comparative-typological approaches. The empirical base includes an authorial corpus of 10 macroframes, 56 internal frames, and 42 basic role nominations, together with associative and vignette data. The intermediate results show that frequency concentration, centrality, evaluative saturation, and variability function as meaningful predictors of normative approval, while frame parameters such as agency, hierarchy, reputation, sanction, and conflict clarify the scenario organization of gender norms. Comparison of partial and integral models confirms that the combined model has greater explanatory power than models based on isolated lexical, associative, or frame parameters. The study contributes to Turkology, gender linguistics, psycholinguistics, and frame semantics by proposing a reproducible multifactor framework for analyzing gender roles as normatively organized scenarios.