Poverty,social disadvantage,and the black/white placement gap

In this paper, we examine whether county-level measures of poverty and social disadvantage are correlated with county-level variation in the black/white foster care placement gap. The black/white placement gap refers to the fact that when the rate of placement into foster care for black children is compared to the rate for white children living in the same area, the black placement rate is almost always higher than the rate for whites. Although differential exposure to poverty is often used to explain why the placement gap is so large, the problem has rarely been studied. Using Poisson event count models, we find that poverty, measured at the county ecological level, is associated with a narrower gap rather than a wider gap. The counterintuitive finding is due to the fact that the relationship between poverty and placement rates depends on race.     

Unwed pregnancy decisions: Some background factors

Females pregnant out of wedlock who chose to bear their children in a maternity home situation were compared with females who chose abortion as their option. Maternity home pregnants were younger, less educated, more regular church attenders, less aware of abortion, less sexually premissive, in poorer relationship with the putative father, and less likely to be satisfied with their pregnancy decision than their abortion choice counterparts.     

Dependence and precarity in the platform economy

Theory and Society - The rapid growth of Uber and analogous platform companies has led to considerable scholarly interest in the phenomenon of platform labor. Scholars have taken two main...     

GangstaLife: Fusing Urban Ethnography with Netnography in Gang Studies

Qualitative Sociology - Recent research on street-involved populations has documented their online presence and has highlighted the effects of their online presentations on their lives in the real...     

The effect of artificial lighting on the arrival time of birds using garden feeding stations in winter: A missed opportunity?

The proliferation of artificial lighting at night is one of the key anthropogenic changes associated with urbanised areas as well as some non-urban areas. Disruption to natural light/dark regimes can have considerable effects on the timing of different behaviours of birds, particularly during the breeding season. However, the effect of artificial lights on the timing of behaviours during winter has received relatively little attention, despite the fact that time partitioning of foraging can have implications for avian winter survival. In this study, we assess at a landscape scale during winter, whether birds arrive at feeding stations earlier in areas with increased levels of artificial lighting using data from a citizen science project. Arrival times of the ten most commonly recorded species were associated with a combination of the density of artificial lights, temperature, rainfall and urban land cover. We found no evidence that birds advance the onset of foraging in gardens with more artificial lights nearby; contrary to our prediction, birds generally arrived later into these areas. This is possibly a response to differences in food availability or predation risk in areas with more artificial lights. We conclude that artificial light at night may not be as important for driving the timing of foraging behaviour in winter as previously thought, but it remains to be seen whether this represents a missed opportunity to extend the foraging period or an adaptive response.     

Predictive Modeling and Categorizing Likelihoods of Quarantine Pest Introduction of Imported Propagative Commodities from Different Countries

The present study investigates U.S. Department of Agriculture inspection records in the Agricultural Quarantine Activity System database to estimate the probability of quarantine pests on propagative plant materials imported from various countries of origin and to develop a methodology ranking the risk of country–commodity combinations based on quarantine pest interceptions. Data collected from October 2014 to January 2016 were used for developing predictive models and validation study. A generalized linear model with Bayesian inference and a generalized linear mixed effects model were used to compare the interception rates of quarantine pests on different country–commodity combinations. Prediction ability of generalized linear mixed effects models was greater than that of generalized linear models. The estimated pest interception probability and confidence interval for each country–commodity combination was categorized into one of four compliance levels: “High,” “Medium,” “Low,” and “Poor/Unacceptable,” Using K‐means clustering analysis. This study presents risk‐based categorization for each country–commodity combination based on the probability of quarantine pest interceptions and the uncertainty in that assessment.     

Giving at Work: Exploring Connections Between Workplace Giving Campaigns and Patterns of Household Charitable Giving in the USA

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations - This research addresses an area of philanthropic study that is becoming an increasingly important revenue source for the...