Do the Joneses Help You Keep Up? A Natural Experiment in Exposure to Nonpoor Neighbors

This study capitalizes on a natural experiment in Montgomery County, Maryland, where low-income applicant families are randomly assigned to public housing that is either (a) clustered within seven public housing developments or (b) scattered into market-rate subdivisions via the county's inclusionary zoning policy. Through a survey of 453 public housing residents, we find that adults who lived in scattered public housing reported a lower proportion of low-socioeconomic status (SES) social ties generally and a lower proportion of low-SES neighbors specifically in their social networks. They also counted more high-SES individuals in their social networks, and this effect was related to the amount of time they lived in the neighborhood. Living in scattered public housing had no adverse effect on feelings of neighborhood belonging or satisfaction. The socioeconomic composition of respondents' social networks was associated with two health outcomes for respondents (smoking and depression) and modestly associated with respondents' household income.     

Mobilizing justice in sociolegal research: a mixed methods meta-analysis

Crime, Law and Social Change - Justice as a concept has permeated sociolegal scholarship in the U.S. since the founding of Law and Society as a field in the mid 1960s. Much of this scholarship has...     

A Comparison of Thresholding Methods for Forensic Reconstruction Studies Using Fluorescent Powder Proxies for Trace Materials

Image segmentation is a fundamental precursor to quantitative image analysis. At present, no standardised methodology exists for segmenting images of fluorescent proxies for trace evidence. Experiments evaluated (i) whether manual segmentation is reproducible within and between examiners (with three participants repeatedly tracing three images) (ii) whether manually defining a threshold level offers accurate and reproducible results (with 20 examiners segmenting 10 images), and (iii) whether a global thresholding algorithm might perform with similar accuracy, while offering improved reproducibility and efficiency (16 algorithms tested). Statistically significant differences were seen between examiners’ traced outputs. Manually thresholding produced good accuracy on average (within ±1% of the expected values), but poor reproducibility (with multiple outliers). Three algorithms (Yen, MaxEntropy, and RenyiEntropy) offered similar accuracy, with improved reproducibility and efficiency. Together, these findings suggest that appropriate algorithms could perform thresholding tasks as part of a robust workflow for reconstruction studies employing fluorescent proxies for trace evidence.