Using Geographic Information Systems to Reconceptualize Spatial Relationships and Ecological Context

In this article, the author demonstrates how geographic information system (GIS) software can be used to reconceptualize spatial relationships and ecological context and address the modifiable areal unit problem. In order to do this, the author uses GIS to (1) test an important category of spatial hypotheses (spatial proximity hypotheses), (2) overcome methodological problems that arise when data sets are not spatially comparable, and (3) measure ecological context. The author introduces a set of GIS variable construction techniques that are designed to accomplish these tasks, illustrates these techniques empirically by using them to test spatial proximity hypotheses drawn from the literature on environmental inequality, and demonstrates that results obtained using these techniques are methodologically superior to and substantively different from results obtained using traditional techniques. Finally, the author demonstrates that these techniques are the product of an alternative conceptualization of physical space that allows sociologists to develop new ways to think about and measure spatial relationships, ecological context, and place-based social inequality and that gives them the ability to reconceptualize spatially based methodological problems that have confronted them for years.     

The (Conditional) Resource Dilution Model: State- and Community-Level Modifications

Demography - One of the most consistent patterns in the social sciences is the relationship between sibship size and educational outcomes: those with fewer siblings outperform those with many. The...     

Why are residential and school moves associated with poor school performance?

Most research on residential mobility has documented a clear pattern: Residential and school moves are associated with poor academic performance. Explanations for this relationship, however, remain speculative. Some researchers argue that moving affects social relationships that are important to academic achievement. But the association between moving and school performance may be spurious; the negative correlation may be a function of other characteristics of people who move often. We offer several conceptual and analytical refinements to these ideas, allowing us to produce more precise tests than past researchers. Using longitudinal data, we find that differences in achievement between movers and nonmovers are partially a result of declines in social relationships experienced by students who move. Most of the negative effect of moving, however, is due to preexisting differences between the two groups.     

Perceptions of efficacy in the use of contemporary film in social work education: An exploratory study

This article discusses the use of contemporary film in social work education, including the theoretical rationale for the inclusion of film from the perspective of narrative and adult learning theory as well as the application of the case method to the use of film. The student viewpoint and perspective is provided through the results of an exploratory research study with 109 Baccalaureate social work students who completed a survey questionnaire following a classroom activity involving a contemporary film. Analysis of the quantitative data and qualitative comments indicates that students believe that film is a beneficial adjunct to textbook and lecture content.     

Reports of Conferences,Institutes, and Seminars

In the span of four weeks, from late March to early April 2008, three important technical services conferences were held: the Electronic Resources & Libraries Conference, the New England Technical Services Librarians Conference, and the North Carolina Serials Conference.     

MULTINATIONALS’ PRODUCTIVITY ADVANTAGE: SCALE OR TECHNOLOGY?

This study decomposes the productivity advantage of foreign multinationals into a technology and a scale effect and analyses the causal relationship between foreign ownership and these two components. This is done by analyzing the effects of an acquisition of a domestic establishment by a foreign multinational, using a combined propensity score matching and difference-in-differences estimation. The main results show that any positive impact of acquisition is predominantly due to changes in technical efficiency and not in scale and that the preacquisition productivity of the target plays a role in mediating the rate of technology transfer from the multinational. ( JEL F23, L22)     

Using unlabelled data to update classification rules with applications in food authenticity studies

Summary.  An authentic food is one that is what it purports to be. Food processors and consumers need to be assured that, when they pay for a specific product or ingredient, they are receiving exactly what they pay for. Classification methods are an important tool in food authenticity studies where they are used to assign food samples of unknown type to known types. A classification method is developed where the classification rule is estimated by using both the labelled and the unlabelled data, in contrast with many classical methods which use only the labelled data for estimation. This methodology models the data as arising from a Gaussian mixture model with parsimonious covariance structure, as is done in model-based clustering. A missing data formulation of the mixture model is used and the models are fitted by using the EM and classification EM algorithms. The methods are applied to the analysis of spectra of food-stuffs recorded over the visible and near infra-red wavelength range in food authenticity studies. A comparison of the performance of model-based discriminant analysis and the method of classification proposed is given. The classification method proposed is shown to yield very good misclassification rates. The correct classification rate was observed to be as much as 15% higher than the correct classification rate for model-based discriminant analysis.     

Environmental stressors: the mental health impacts of living near industrial activity

A growing literature examines whether the poor, the working class, and people of color are disproportionately likely to live in environmentally hazardous neighborhoods. This literature assumes that environmental characteristics such as industrial pollution and hazardous waste are detrimental to human health, an assumption that has not been well tested. Drawing upon the sociology of mental health and environmental inequality studies, we ask whether industrial activity has an impact on psychological well-being. We link individual-level survey data with data from the US. Census and the Toxic Release Inventory and find that residential proximity to industrial activity has a negative impact on mental health. This impact is both direct and mediated by individuals' perceptions of neighborhood disorder and personal powerlessness, and the impact is greater for minorities and the poor than it is for whites and wealthier individuals. These results suggest that public health officials need to take seriously the mental health impacts of living near industrial facilities.