Inequality in the Origins and Experiences of Pain: What “Big (Qualitative) Data” Reveal About Social Suffering in the United States

• Published in: RSF : Russell Sage Foundation journal of the social sciences 2024-09, Vol.10 (5), p.34-65
• Main Authors: ABRAMSON, COREY M., LI, ZHUOFAN, PRENDERGAST, TARA, SÁNCHEZ-JANKOWSKI, MARTÍN
• Format: Article
• Language: English
• Subjects: Biology; Chronic pain; computational ethnography; culture; Ethnography; Everyday life; Gender identity; health; Health care policy; in-depth interviews; Inequality; IV Ferreting Out Hidden Populations; Machine learning; Medical treatment; mixed-methods; Morality; Narcotics; Narratives; Pain; Qualitative research; social determinants of health; Social inequality; Suffering
• ISSN: 2377-8253; 2377-8261
• DOI: 10.7758/RSF.2024.10.5.02

This study examines how Americans’ narratives of pain are connected to social inequalities using more than 1,500 in-depth interviews collected as part of the American Voices Project. Our novel mixed-method approach to these “big (qualitative) data” uses machine learning and qualitative analysis to demonstrate that discussions of physical pain are prevalent across groups, but narrative content varies by demographics including educational background and gender identity. Our findings demonstrate (1) that pain is commonly described as a challenge that shapes everyday life, (2) that pain narratives often invoke morality and distinction, and (3) that narratives diverge around discussions of unequal medical treatment, illness identities, vulnerability and suffering. We discuss the implications of our findings for scholarship on inequality and experience, social scientific methods, and health policy.