Frontiers in Social Science features new research in the flagship journals of the Social Science Research Council’s founding disciplinary associations. Every month we publish a new selection of articles from the most recent issues of these journals, marking the rapid advance of the frontiers of social and behavioral science.

A method to measure context-specific word usage 

A new method to measure how words are used differently in different contexts works well even with few documents.

Author(s)
Pedro L. Rodriguez , Arthur Spirling, and Brandon M. Stewart
Journal
American Political Science Review
Citation
RODRIGUEZ, PEDRO L., ARTHUR SPIRLING, and BRANDON M. STEWART. "Embedding Regression: Models for Context-Specific Description and Inference." American Political Science Review 117.4 (2023): 1255-274. Print. Copy
Abstract

Social scientists commonly seek to make statements about how word use varies over circumstances—including time, partisan identity, or some other document-level covariate. For example, researchers might wish to know how Republicans and Democrats diverge in their understanding of the term “immigration.” Building on the success of pretrained language models, we introduce the à la carte on text (conText) embedding regression model for this purpose. This fast and simple method produces valid vector representations of how words are used—and thus what words “mean”—in different contexts. We show that it outperforms slower, more complicated alternatives and works well even with very few documents. The model also allows for hypothesis testing and statements about statistical significance. We demonstrate that it can be used for a broad range of important tasks, including understanding US polarization, historical legislative development, and sentiment detection. We provide open-source software for fitting the model.

Having younger siblings associated with lower test scores

30 years of data collected from the biological children of women in the National Longitudinal Study of Youth 1979 indicate that cognitive test scores are lower for first- and second-born children with younger siblings.

Author(s)
Wei-hsin Yu and Hope Xu Yan
Journal
American Sociological Review
Citation
Yu, W., & Yan, H. X. (2023). Effects of Siblings on Cognitive and Sociobehavioral Development: Ongoing Debates and New Theoretical Insights. American Sociological Review, 88(6), 1002-1030. https://doi.org/10.1177/00031224231210258 Copy
Abstract

Despite social scientists’ long-standing interest in the influences of siblings, previous research has not settled the debates on how relevant sibship size is to child development and whether growing up with more siblings could be beneficial. Using 30 years of longitudinal data and fixed-effects models, this study offers the most comprehensive evidence on how sibship size is tied to cognitive and sociobehavioral development. We also advance the literature by systematically comparing the consequences of gaining a sibling for children with varying ordinal positions. Contrary to prior studies using selective data from limited observation spans, we find that children experience net decreases in cognitive test scores as their family size grows. At the same time, our analysis shows that sibling additions are only important to first- and second-born children’s—not later-born children’s—cognitive development. Even for the first- and second-born, the marginal effect of adding a sibling lessens with each addition. Our results thus demonstrate the time-dependent nature of family resource-dilution processes. For sociobehavioral development, the evidence indicates that having an older sibling is beneficial, but gaining a younger sibling increases behavioral problems for some (e.g., first-born children). Because more children from large families have older siblings, children from larger families exhibit less problematic behavior, on average. By uncovering the complex relationship between siblings and noncognitive development, this study also generally contributes to the sociology of family and inequality.

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