The study of social inequality and stratification (e.g., ethnoracial and gender) has long been at the core of sociology and the social sciences. In this article, I argue that certain tendencies have become entrenched in our dominant paradigm that leave many researchers pursuing coarse-grained analyses of how difference relates to inequality. Centrally, despite the importance of categories and categorization for how researchers study social inequality, contemporary (as opposed to classical) theories of categories are poorly integrated into conventional research. I contend that the widespread and often unquestioned use of state categories as categories of analysis reinforces these tendencies. Using research on colorism as an inspiration, I highlight several components of what I call the infracategorical model of inequalit y, which urges researchers to disaggregate difference by shifting our focus from membership in (nominal) categories to the cues of categories, membership in subcategories, and perceived typicality.

Public debate and scholarly research has largely concentrated on the vast array of disparities between blacks and whites in their treatment by and experiences with the criminal justice system. Nevertheless, a growing body of research shows that African Americans’ life chances are internally stratified by gradational differences in their skin tone. This study brings together research on race, color, and the criminal justice system by using nationally-representative data to examine whether (and to what extent) skin tone is associated with policing and punishment among African Americans. I find that skin tone is significantly associated with the probability of having been arrested and/or incarcerated, net of relevant controls. Further analyses, using a sub-sample of whites drawn from the same nationally-representative survey, show that disparities in policing and punishment within the black population along the colour continuum are often comparable to or even exceed disparities between blacks and whites as a whole.

This study uses nationally representative data to extend a steadily growing body of research on the health consequences of skin color by comparatively examining the consequences of perceived ingroup and outgroup skin color discrimination (perceived colorism) for physical health among African Americans. Using a comprehensive set of measures of physical health, I find that perceived ingroup colorism is significantly associated with worse physical health outcomes among African Americans. Notably, the magnitude of ingroup colorism’s associations with most of these outcomes rivals or even exceeds that of major lifetime discrimination, everyday discrimination, and perceived outgroup colorism. These findings compellingly suggest the inclusion of perceived colorism measures in future survey data collection efforts.

Skin tone plays a critical role in artificial intelligence (AI). However, many algorithms have exhibited unfair bias against people with darker skin tones. One reason this occurs is a poor understanding of how well the scales we use to measure and account for skin tone in AI actually represent the variation of skin tones in people affected by these systems. To address this, we conducted a survey with 2,214 people in the United States to compare three skin tone scales: The Fitzpatrick 6-point scale, Rihanna's Fenty Beauty 40-point skin tone palette, and a newly developed Monk 10-point scale from the social sciences. We find that the Fitzpatrick scale is perceived to be less inclusive than the Fenty and Monk skin tone scales, and this was especially true for people from historically marginalized communities (i.e., people with darker skin tones, BIPOCs, and women). We also find no statistically meaningful differences in perceived representation across the Monk skin tone scale and the Fenty Beauty palette. We discuss the ways in which our findings can advance the understanding of skin tone in both the social science and machine learning communities.

In the study, we engage the question of racial “fluidity” by examining patterns of ethnoracial identification in adolescence and, importantly, shifts in ethnoracial identification between adolescence and adulthood using two waves of data from a nationally representative, longitudinal study of adolescents who were in Grades 7 to 12 during the 1994 to 1995 school year. Our theoretical framework draws from social identity theory and brings together bodies of research in race and immigration to make a case for the importance of phenotype, ancestry, and sociocultural elements as potential mechanisms for patterns among Latinx youth, as shifts in ethnoracial identification are predominantly a Latinx phenomenon. The bulk of the findings suggest that both phenotype and immigration are important factors for ethnoracial self-identification among Latinx youth, as well as shifts in their ethnoracial identification in young adulthood. Given what we know about ethnoracial categorization and ascription, findings suggest that, overall, shifts in ethnoracial identification among Latinx youth are primarily about bringing their self-identification into alignment with how they think they tend to be (and most likely are) perceived by others, which we suggest represents a Sedimentation of the Color Line. We close by discussing the myriad implications of our findings for the U.S. racial order and the ongoing debate about how to “measure” the Latinx population.

Objectives: This paper introduces new measures of skin tone (self-reported) and perceived discrimination that are included in the third round of the National Social Life, Health, and Aging Project (NSHAP). We explain the rationale for these new measures, emphasizing, in particular, how they help researchers to conceptualize and measure the significance of race/ethnicity for health and aging beyond binary ethnoracial categories. Method: We describe new measures of skin tone and perceived discrimination for use in NSHAP 2015. We provide descriptive statistics on the distribution of skin tone (self-reported) by race/ethnicity. As a proof of concept, we use logistic and ordinary least squares regression analyses to examine the relationship between skin tone, perceived discrimination, and perceived stress among ethnoracial minorities. Results: We find that there is significant variation in skin tone among non-White respondents in NSHAP 2015 (e.g., non-Hispanic Black and Latinx). We also find that skin tone (self-reported) is a significant predictor of the frequency of perceived discrimination and perceived stress among African American, but not Latinx respondents in NSHAP. Discussion: The inclusion of new skin tone and discrimination measures in NSHAP 2015 provides a unique and novel opportunity for researchers to more deeply understand how race/ethnicity is connected to health and aging among ethnoracial minorities. Furthermore, it will enable analyses of how stress and perceived discrimination also affect patterns of health and aging among Whites against the backdrop of steadily increasing socioeconomic inequalities and shifting ethnoracial demographics in the United States.