Sibling Rivalry in Ivory Tower: Mass Science, Expanding Scholarly Families, and the Reshaping of Academic Stratification

• In Event: Science, Knowledge & Technology Section Roundtables
  In Refereed Roundtable (60 minute): Table 3: Expertise, Knowledge Production, and Authority

Abstract

This paper investigates mechanisms underlying scientific stratification in the transition from elite to mass science. Existing scholarship has examined stratification through the Matthew effect framework, but this approach is increasingly limited as mass, team-based research becomes dominant. While scientists now share institutions and lineages, substantial career outcome differences remain unexplained. We propose integrating demographic concepts into science studies. Drawing parallels between biological families and scholarly lineages as fundamental reproductive units, we adapt the birth order concept to examine how doctoral student sequence within a lineage shapes career trajectories. Using data on over one million U.S. doctoral graduates, we find that later students of the same advisor systematically underperform earlier ones across multiple achievement dimensions, both short and long term. Examining underlying mechanisms reveals that although advisors invest comparable resources in all students, later students receive less cognitive stimulation from mature scholars than peers and specialize in narrower niches under peer differentiation pressure. Both of these factors constrain intellectual development and subsequent success. By introducing a demographic framework, this paper offers new perspectives on scientific stratification and demonstrates how demographic concepts can fruitfully analyze broader social and epistemic systems.

Authors

• Likun Cao, Purdue University

• Jie Hua, Renmin University of China

• James A. Evans, University of Chicago