Inequality Preservation through Uneven Diffusion of Cultural Materials across Stratified Groups
Authored by Neha Gondal
Date Published: 2015
DOI: 10.1093/sf/sou101
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Abstract
Inequality between groups is frequently maintained through the
construction and legitimation of inter-group cultural differences. I
draw on Blau's multiform heterogeneity and complex contagion models to
theorize and develop a relational mechanism that shows how inequality
can be preserved when additional, new bases of differentiating between
groups layer over existing ones. I investigate the conditions under
which variations in the distribution of the population across stratified
groups and homophily of social networks along the stratifying attribute
interact in such a way that a belief/practice diffuses widely in one
group but not the other-an outcome referred to as differential
diffusion. I also analyze how size of ego networks and adoption
thresholds affect differential diffusion. Using mathematical and
agent-based models, I find a positive correlation between adoption
thresholds and homophily: when social networks are highly homophilous
(e.g., race and socioeconomic class), uneven diffusion of non-normative
behavior reproduces inequality; inclusive networks (e.g., in diverse
city schools), in contrast, reestablish inequality through differential
diffusion of low-risk behavior. This suggests that cultivating diversity
is likely to mitigate inequality preservation in conservative situations
where adoption of new beliefs/practices needs considerable affirmation.
Encouraging status-based solidarity is more appropriate in receptive
contexts where adoption of new behaviors entails comparatively lower
risk. The results also imply that analyses of diffusion need to be
sensitive to contextual factors, including homophily, cultural
institutionalization of the diffusing material, and population
distribution. Finally, I extend Ridgeway's seminal work to show how
relational structure can not only construct status hierarchies but also
contribute to their symbolic maintenance.
Tags
behavior
models
Heterogeneity
Network Structure
Complex contagions
Race
Success