This article reviews two related approaches—conversation analysis (CA) and membership
categorization analysis (MCA)—to sketch a systematic framework for exposing how …

Some commentators have recently argued that scientific psychology is overly reliant on
artificial laboratory-based activities and that it undervalues field-based investigations …

Data annotation remains the sine qua non of machine learning and AI. Recent empirical
work on data annotation has begun to highlight the importance of rater diversity for fairness …

The fields of AI current lacks methods to quantitatively assess and potentially alter the moral
values inherent in the output of large language models (LLMs). However, decades of social …

Objective Although social factors and culture are significant determinants of health in
Aboriginal and Torres Strait Islander peoples, little is known academically about key …

Science is a product of society: in its funding, its participation, and its application. This
Element explores the relationship between science and the public with resources from …

In the first part of this article, I argue that transdisciplinary research can help address both
the WEIRD problem of homogenous samples and the categorical problem of …

Autism research is experiencing a crisis, one which begins with autism researchers (Botha &
Cage, 2022). To date, the majority of studies have relied more heavily on traditional …

Worldview primacy discernment-the ability to recognize the worldview assumptions that
most influence or orient a text-is an essential skill for Christians desiring to grow in …

In this article we review Per Linell's work within the last five decades that led to his dialogism
framework, which he defines as a general epistemology of language, cognition and …