Low‐Income Mothers’ Private Safety Nets and Children’s Socioemotional Well‐Being

Using longitudinal data from the Fragile Families and Child Well‐being Study (N = 1,162) and the National Evaluation of Welfare‐to‐Work Strategies (N = 1,308), we estimate associations between material and instrumental support available to low‐income mothers and young children’s socioemotional well‐being. In multivariate OLS models, we find mothers’ available support is negatively associated with children’s behavior problems and positively associated with prosocial behavior in both data sets; associations between available support and children’s internalizing and prosocial behaviors attenuate but remain robust in residualized change models. Overall, results support the hypothesis that the availability of a private safety net is positively associated with children’s socioemotional adjustment.     

Gender Stratification and Publication in American Science: Turning the Tools of Science Inward

Gender stratification continues to pervade the American workplace, and academic science as a vocation is hardly exempt. In this article, I review prior work on why and how gender inequality affects scientific careers. I focus specifically on scientific publication, an important determinant of scientific success. The research indicates that processes of gender stratification operate through formal and informal relationships contributing to the inequality we continue to find in academic science. Following Bourdieu (2004) , I argue that sociology's unique reflexivity – that is, our ability to turn the tools of science inward – offers an important vantage point and contribution to our understanding of stratification in science specifically, in workplaces more generally, and in society at large.     

Comparing the U.S. Decennial Census Coverage Estimates for Children from Demographic Analysis and Coverage Measurement Surveys

Following every U.S. decennial census since 1960, the U.S. Census Bureau has evaluated the completeness of coverage using two different methods. Demographic analysis (DA) compares the census counts to a set of independent population estimates to infer coverage differences by age, sex, and race. The survey-based approach (also called dual system estimation or DSE) provides coverage estimates based on matching data from a post-enumeration survey to census records. This paper reviews the fundamentals of the two methodological approaches and then initially examines the results of these two methods for the 2010 decennial census in terms of consistency and inconsistency for age groups. The authors find that the two methods produce relatively consistent results for all age groups, except for young children. Consequently, the paper focuses on the results for children. Results of the 1990, 2000, and 2010 decennial censuses are shown for the overall population in this age group and by demographic detail (age, race, and Hispanic origin). Among children, the DA and DSE results are most inconsistent for the population aged 0–4 and most consistent for ages 10–17. Results also show that DA and DSE are more consistent for Black than non-Black populations. The authors discuss possible explanations for the differences in the two methods for young children and conclude that the DSE approach may underestimate the net undercount of young children due to correlation bias.     

Machine Learning for Drug Overdose Surveillance

ABSTRACT

We describe two recently proposed machine learning approaches for discovering emerging trends in fatal accidental drug overdoses. The Gaussian Process Subset Scan (Herlands, McFowland, Wilson, & Neill, 2017 Neill, D. B. (2017). Multidimensional tensor scan for drug overdose surveillance. Journal of Public Health Informatics, 9(1), e20. doi:10.5210/ojphi.v9i1.7598[Crossref] , [Google Scholar]) enables early detection of emerging patterns in spatio-temporal data, accounting for both the complex, correlated nature of the data and the fact that detecting subtle patterns requires integration of information across multiple spatial areas and multiple time steps. We apply this approach to 17 years of county-aggregated data for monthly opioid overdose deaths in the New York City metropolitan area, showing clear advantages in the utility of discovered patterns as compared to typical anomaly detection approaches. To detect and characterize emerging overdose patterns that differentially affect a subpopulation of the data, including geographic, demographic, and behavioral patterns (e.g., which combinations of drugs are involved), we apply the Multidimensional Tensor Scan (Neill, 2017 Neill, D. B. (2017). Multidimensional tensor scan for drug overdose surveillance. Journal of Public Health Informatics, 9(1), e20. doi:10.5210/ojphi.v9i1.7598[Crossref] , [Google Scholar]) to 8 years of case-level overdose data from Allegheny County, Pennsylvania. We discover previously unidentified overdose patterns which reveal unusual demographic clusters, show impacts of drug legislation, and demonstrate potential for early detection and targeted intervention. These approaches to early detection of overdose patterns can inform prevention and response efforts, as well as understanding the effects of policy changes.     

Professionalization through attrition? An event history analysis of mortalities in citizen journalism

ABSTRACT

Despite both scholarly and popular claims that citizen journalism (CJ) represents a growing democratizing force in the journalistic field, recent scholarship in the area has noted the decline of the organizational population of CJ. In this paper, we investigate how individual characteristics of sites and the dynamics of larger organizational population affect a CJ site’s risk of experiencing a mortality. Drawing on the largest sample to date of US-based English-language CJ sites, this study examines the risk of site mortality through an event history framework. Findings indicate that the strongest predictor of a site’s mortality is the age of the site, consistent with organizational population theory’s ‘liability of newness.’ We also find that for-profit and community-based sites have lower rates of site mortality, indicating that adopting legitimate conventions of journalism may serve as a protective buffer to site death. The results offer mixed evidence on whether CJ has become more professionalized via attrition.     

Complex home care: challenges arising from the blurring of boundaries between family and professional care

Over the last 50 years, increasingly complex care (such as tracheostomy management, dialysis or enteral feeding) has shifted from hospital to home, with a concomitant rise in patient self-management and care given by family members. Recognition of the importance of the contribution of family care to the health system is also growing. This article reports the findings of a New Zealand study which explored the experiences of family carers who manage technical health procedures at home. It then draws attention to some broader issues raised by shifting complex care from professional management in hospital settings to family care at home, namely the ways in which complex home care blurs the boundaries between professional and family care (creating the ambiguous position of the expert carer) and questions of safety and responsibility in family care. We also discuss the implications for policy around family caregiving in New Zealand. Given the potential physical and mental health impacts of caring, it is time for renewed consideration of what family carers should be expected or allowed to manage and how the health system can support them in their important role.     

Transnational Information Politics and the “Child Migration Crisis”: Guatemalan NGOs Respond to Youth Migration

Sharp increases in “child migrants” from Central America detained at the US border in 2014 brought unprecedented levels of attention to long extant social and political issues perceived as causing youth migration. While governments on both sides of the US border faced criticism over responses to the migration “crisis,” the presumed causes of this migration presented in US media discourses went largely unquestioned. This article presents data collected in June 2015 from in-depth interviews with Guatemalan and transnational non-governmental organization (NGO) staff, scholars, lawyers, and activists in order to understand the complex interpretations of child migration by NGO actors in Guatemala. Findings illustrate how NGOs may selectively draw on the power of prevailing media narratives to buttress ideological and programmatic goals while simultaneously contesting how the same media depictions obscure the lived realities of migrants. We consider the transnational information politics of representations of “child migration” across government, media, and civil society sectors and the critical role of NGOs in articulating the complex realities faced by populations vulnerable to migration.