Criminogenic Embeddedness and Criminal Trajectories: A Life-Course Model (CEM) of Strain, Control, and Social Learning

This article develops criminogenic embeddedness as a relational mechanism connecting strain, social control, social learning, and life-course change. It proposes the Criminogenic Embeddedness Model (CEM), which explains how network structure and network content work together to shape criminal adaptation. The model identifies four characteristic pathways and derives eight propositions concerning network position, control, learning, feedback, and desistance. A provisional Criminogenic Embeddedness Assessment Score (CEAS) is introduced as a measurement agenda only, not as a validated risk instrument. Drawing on recent advances in networked criminology, desistance research, and longitudinal network studies (2021–2026), the article argues that embeddedness earns its theoretical place by explaining why similar strains produce different outcomes, why some turning points fail to produce lasting desistance, and how lingering network configurations sustain risk after behavioral change. The conclusion outlines the key empirical tests needed to distinguish the model from established interactional and developmental theories.