Dataset for paper "This is what a mechanic sounds like.” Children’s vocal control reveals implicit occupational stereotypes.
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
Dataset combining children’s ratings of occupations on a questionnaire (Who does the job of being…?), and children’s own vocal productions when imitating the occupations listed in the questionnaire. For each child’s imitation, pitch (mean F0) and resonances (formant spacing or DF) were extracted.
This study explored the use of variation in sex-related cues of the voice to investigate implicit occupational stereotyping in children. Eighty-two children between the ages of 5 and 10 took part in an imitation task where they were provided with descriptions of nine occupations (three traditionally male, three traditionally female and three gender neutral professions) and asked to give voices to them (e.g. “How would a mechanic say...?”). Overall, children adapted their voices to conform to gender-stereotyped expectations by masculinising (lowering voice pitch and resonance) and feminising (raising voice pitch and resonance) their voices for the traditionally male and female occupations, respectively. The magnitude of these shifts increased with age, particularly in boys, and was not mediated by children’s explicit stereotyping of the same occupations. We conclude by proposing a simple tool based on voice pitch for assessing levels of implicit occupational gender stereotyping in children.