The Emergence of Gender Associations in Child Language Development

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Bibliographic Details
Title: The Emergence of Gender Associations in Child Language Development
Language: English
Authors: Prystawski, Ben, Grant, Erin, Nematzadeh, Aida, Lee, Spike W. S., Stevenson, Suzanne, Xu, Yang
Source: Cognitive Science. Jun 2022 46(6).
Availability: Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
Peer Reviewed: Y
Page Count: 24
Publication Date: 2022
Document Type: Journal Articles
Reports - Research
Descriptors: Sex Role, Sex Stereotypes, Gender Differences, Language Acquisition, Oral Language, Young Children, Orthographic Symbols, News Writing, Web Sites, Language Patterns, Network Analysis, Caregiver Role
DOI: 10.1111/cogs.13146
ISSN: 1551-6709
Abstract: Gender associations have been a long-standing research topic in psychological and social sciences. Although it is known that children learn aspects of gender associations at a young age, it is not well understood how they might emerge through the course of development. We investigate whether gender associations, such as the association of dresses with women and bulldozers with men, are reflected in the linguistic communication of young children from ages 1-5. Drawing on recent methods from machine learning, we use word embeddings derived from large text corpora including news articles and web pages as a proxy for gender associations in society, and we compare those with the gender associations of words uttered by caretakers and children in children's linguistic environment. We quantify gender associations in childhood language through "gender probability," which measures the extent to which word usage frequencies in speech to and by girls and boys are gender-skewed. By analyzing 4,875 natural conversations between children and their caretakers in North America, we find that frequency patterns in word usage of both caretakers and children correlate strongly with the gender associations captured in word embeddings through the course of development. We discover that these correlations diminish from the 1970s to the 1990s. Our work suggests that early linguistic communication and social changes may jointly contribute to the formation of gender associations in childhood.
Abstractor: As Provided
Notes: https://osf.io/635em/?view_only=2870124df1a0467bbd6d032cf154551e
Entry Date: 2022
Accession Number: EJ1339115
Database: ERIC
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Abstract:Gender associations have been a long-standing research topic in psychological and social sciences. Although it is known that children learn aspects of gender associations at a young age, it is not well understood how they might emerge through the course of development. We investigate whether gender associations, such as the association of dresses with women and bulldozers with men, are reflected in the linguistic communication of young children from ages 1-5. Drawing on recent methods from machine learning, we use word embeddings derived from large text corpora including news articles and web pages as a proxy for gender associations in society, and we compare those with the gender associations of words uttered by caretakers and children in children's linguistic environment. We quantify gender associations in childhood language through "gender probability," which measures the extent to which word usage frequencies in speech to and by girls and boys are gender-skewed. By analyzing 4,875 natural conversations between children and their caretakers in North America, we find that frequency patterns in word usage of both caretakers and children correlate strongly with the gender associations captured in word embeddings through the course of development. We discover that these correlations diminish from the 1970s to the 1990s. Our work suggests that early linguistic communication and social changes may jointly contribute to the formation of gender associations in childhood.
ISSN:1551-6709
DOI:10.1111/cogs.13146