DOI: 10.1177/21582440261457675 ISSN: 2158-2440
Gender Stereotypes in the Physical Depictions of Girls in Turkish Children’s Literature: A Collocational Analysis
Şahru Pilten-Ufuk, Gülhiz Pilten, Merve Yorulmaz-Kahve
This study examines the linguistic construction of the girl figure in Turkish children’s literature through a corpus-based collocational analysis of physical descriptors. The data derive from the Turkish Children’s Literature Corpus (TCLC), comprising 1,089 books published between 1970 and 2012 (8.6 million tokens). Using systematic adjective filtering and semantic categorization, the study analyzes recurring adjective–noun patterns modifying the word
kız
(girl) in order to identify how physical description contributes to the discursive organization of girlhood. The findings reveal three central representational patterns. First, girlhood is structured along a developmental trajectory: childhood is associated with smallness and domestic positioning, adolescence foregrounds appearance-based evaluation, and adulthood is increasingly framed through marriage-related expectations. Second, physical descriptions converge on a relatively homogeneous prototype characterized by beauty, slenderness, tallness, and light-colored features. Third, aesthetic evaluation frequently extends into moral assessment, as positive appearance descriptors systematically co-occur with virtue-related traits. The analysis further identifies divergence between literary prototypes and demographic indicators in Türkiye, with light-colored features appearing at higher rates in the corpus than in population data. While no causal claims are made regarding reader effects, the findings indicate that physical appearance functions as a central organizing dimension in the linguistic construction of girlhood. By linking collocational regularities to subject positioning, performative repetition, and normalization, the study demonstrates how recurring linguistic patterns may contribute to the stabilization of gendered norms and offers a replicable corpus-based framework for future comparative research.