Distances derived from word embeddings can measure a range of gradational relations--similarity, hierarchy, entailment, and stereotype--and can be used at the document- and author-level in ways that overcome some of the limitations of weighted dictionary methods. We provide a comprehensive introduction to using word embeddings for relation…

Large language models (LLMs), through their exposure to massive collections of online text, learn to reproduce the perspectives and linguistic styles of diverse social and cultural groups. This capability suggests a powerful social scientific application--the simulation of empirically realistic, culturally situated human subjects. Synthesizing…

This paper is a critical exposition on three major issues related to 'interpretive research conducted by researchers who claim they engaged in mixed methods' research. First, to provide context, we demonstrate that the term 'mixed' is inappropriate for the research practices usually adopted by its exponents. Secondly, we argue, expositions in…

Research of issues related to disability is consistently evolving in several social science related fields such as social work, psychology, sociology, and education. Disability research often employs large public datasets for researchers to conduct secondary analysis. However, these datasets come with many limitations that can impact the overall…

This article synthesizes the conclusions of the empirical studies in this special issue and outlines key questions in future research. The research reported in this volume has identified several fundamental issues in pronunciation-focused task design that are discussed in detail and on which suggestions for further research are outlined. One…