Policy responses to gun violence within K-12 school systems have not stopped the increasing frequency of their occurrence, but have instead increased racial and ethnic disparities in multiple forms of discipline. The crisis prevention policies that follow school shootings tend to exacerbate racial and ethnic discipline disparities (a) within schools as practitioners enact policies with discretion and bias, (b) between schools where policy is complicated by racial segregation, and (c) indirectly where academic consequences accrue to those who are not disciplined but attend schools with elevated school rates of discipline. Among the most promising policy alternatives to punitive disciplinary policy is restorative justice.

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Though the COVID-19 pandemic required significant changes and adaptations for most Americans, parents faced acute challenges as they had to navigate rapidly changing schooling and child care policies requiring their children to spend more time at home. This study examines the effects of COVID-19 school and workplace policies as well as environmental and economic characteristics on parental mental health, worry, hopelessness, and anxiety. Using data from four waves of the Socio-Economic Impacts of COVID-19 Survey and regression analysis, we explore associations between parents’ mental health, worry, hopelessness, and anxiety and school learning environment, child grade and learning disability, employment characteristics, and sociodemographic factors. We find that having a child attend a private school or school with above average instructional quality was associated with better mental health of parents. Hybrid schooling options offering both in-person and online learning was associated with poor parental mental health, as was working from home. Being female or experiencing job or income loss were associated with worse mental health while having older children, a bachelor’s degree, or high income were associated with better mental health. Results can help inform school and workplace family supports as well as opportunities to reduce mental health strains at home from various policy options.

PurposeIn this paper, the authors explore the relationship that slack resources and technology-mediated human capital investments can have on individuals’ entrepreneurial intentions. Focusing on human capital investments that individuals make through education and work, the authors analyze the relationship among formal online learning opportunities, informal skill development in the gig economy and entrepreneurial intentions.Design/methodology/approach Leveraging a novel dataset that merges administrative tax data with a survey of over 8,528 low- and moderate income (LMI) households, this study uses machine learning and propensity score weighting to examine the likelihood that individuals who make these technology-mediated human capital investments will have increased odds of entrepreneurial intentions when compared to similar individuals who do not make these investments.Findings The authors find that both partaking in online learning and working in the gig economy are significantly associated with increased odds of entrepreneurial intentions. Furthermore, through a variety of robustness and mechanism checks, the authors find that technology-mediation is an important factor in these relationships and that informal skill development and career preparation is one way in which gig employment influences entrepreneurial intentions.Research limitations/implications As the study’s data come from a cross-sectional survey, the authors cannot make causal inferences about the relationship between online learning, gig employment and entrepreneurial intentions. Thus, future research should explore sources of longitudinal data.Practical implications This study has practical implication for individuals and policymakers that seek to increase entrepreneurship among LMI households.Originality/value Despite a wealth of research on the relationships among slack resources, technology and innovation at the firm level, there is little of this research at the individual level – especially among LMI individuals. The authors begin to fill this important gap.

Even the least severe forms of exclusionary discipline are associated with detrimental effects for students that attend schools that overuse them. With a nationally representative longitudinal study of high school students, we utilize propensity score weighting to limit selection bias associated with schools that issue high numbers of in-school suspensions. Accounting for school social order and individual suspensions, we find that high-suspension schools are negatively associated with students’ math achievement and college attendance. We also find that when we account for high and low-suspension schools, attending an urban schools is associated with an increase in both math achievement and college attendance.