Abstract
Cooperation and bullying have a subtle yet important interaction that influences the social dynamics in elementary school classrooms. We investigate this interplay in a large sample of 1112 students across 47 public primary classrooms in Chile. Using a video game interface to create a dyadic, non-anonymous social dilemma, we map the cooperative social network within each classroom. In addition, we collect peer nomination data and use the Illinois Bullying Scale to categorize students as bullies, victims, or bully victims. Our results indicate that low levels of received cooperation significantly increase the likelihood of students being identified with the dual role of both bully and victim, known as the bully-victim profile. This negative relationship remains robust even after controlling for demographic and classroom context variables using multilevel regression models and is consistent when employing causal inference techniques such as statistical matching. We propose that the relationship between received cooperation and the bully-victim profile stems from the capacity of received cooperation to capture key factors influencing social relationships among students, such as popularity, prosociality, GPA, and aggressiveness. Our study contributes to the understanding of human interaction in educational settings and it offers a new framework for targeted interventions in primary education, providing insights for future educational policies and practices.
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Details
; Pulgar, Javier 3 ; Fábrega, Jorge 4 ; Varela, Jorge J. 5 ; Yaikin, Tamara 4 ; Monge, Cecilia 4 ; Rodriguez-Sickert, Carlos 4
1 Universidad del Desarrollo, Centro de Investigación en Complejidad Social, Facultad de Gobierno, Las Condes, Chile (GRID:grid.412187.9) (ISNI:0000 0000 9631 4901); Universidad del Desarrollo, Instituto de Data Science, Facultad de Ingeniería, Las Condes, Chile (GRID:grid.412187.9) (ISNI:0000 0000 9631 4901)
2 Universidad del Desarrollo, Centro de Investigación en Complejidad Social, Facultad de Gobierno, Las Condes, Chile (GRID:grid.412187.9) (ISNI:0000 0000 9631 4901); Universidad del Desarrollo, Instituto de Data Science, Facultad de Ingeniería, Las Condes, Chile (GRID:grid.412187.9) (ISNI:0000 0000 9631 4901); Northwestern University, Northwestern Institute on Complex Systems (NICO), Kellogg School of Management, Evanston, USA (GRID:grid.16753.36) (ISNI:0000 0001 2299 3507); Universidad del Desarrollo, Computational Research in Social Science Laboratory, School of Engineering and School of Government, Santiago, Chile (GRID:grid.412187.9) (ISNI:0000 0000 9631 4901)
3 Universidad del Bío Bío, Departamento de Física, Concepción, Chile (GRID:grid.440633.6) (ISNI:0000 0001 2163 2064); Universidad del Bío Bío, Grupo de Investigación en Didáctica de las Ciencias y Matemática (GIDICMA), Concepción, Chile (GRID:grid.440633.6) (ISNI:0000 0001 2163 2064)
4 Universidad del Desarrollo, Centro de Investigación en Complejidad Social, Facultad de Gobierno, Las Condes, Chile (GRID:grid.412187.9) (ISNI:0000 0000 9631 4901)
5 Universidad del Desarrollo, Facultad de Psicologia, Las Condes, Chile (GRID:grid.412187.9) (ISNI:0000 0000 9631 4901)




