Household strategies in the face of resource scarcity in coastal Ghana: are they associated with development priorities?

In many developing regions, women and young girls spend several hours daily in the collection of natural resources. Still the link between these household resource strategies and stakeholder perceptions of development priorities remains unexplored. This project examines this association with survey data representative of the adult population from Ghana’s Coastal Region. Although natural resource scarcity and the sustainability of resource use represent key development challenges, there are others (e.g., energy, sanitation, employment, and educational opportunities). As such, even in the face of natural resource scarcity, individuals may place greater importance on other dimensions of development, especially if household resource strategies are perceived as relatively efficient. The analytical focus here is on water and the results suggest that gender roles shape household water collection strategies, while also shaping these strategies’ perceived opportunity costs. Specifically, Ghanian adults more often see drinking water provision as their primary development need when water sources are distant and/or when male household members collect water (particularly male heads). In the end, I argue that social science inquiry benefits by contextualizing social dynamics within environmental context, particularly within cultural settings in which human subsistence is intimately tied to the state of the natural environment.     

An Assessment of Change in Risk Perception and Optimistic Bias for Hurricanes Among Gulf Coast Residents

This study focuses on levels of concern for hurricanes among individuals living along the Gulf Coast during the quiescent two‐year period following the exceptionally destructive 2005 hurricane season. A small study of risk perception and optimistic bias was conducted immediately following Hurricanes Katrina and Rita. Two years later, a follow‐up was done in which respondents were recontacted. This provided an opportunity to examine changes, and potential causal ordering, in risk perception and optimistic bias. The analysis uses 201 panel respondents who were matched across the two mail surveys. Measures included hurricane risk perception, optimistic bias for hurricane evacuation, past hurricane experience, and a small set of demographic variables (age, sex, income, and education). Paired t‐tests were used to compare scores across time. Hurricane risk perception declined and optimistic bias increased. Cross‐lagged correlations were used to test the potential causal ordering between risk perception and optimistic bias, with a weak effect suggesting the former affects the latter. Additional cross‐lagged analysis using structural equation modeling was used to look more closely at the components of optimistic bias (risk to self vs. risk to others). A significant and stronger potentially causal effect from risk perception to optimistic bias was found. Analysis of the experience and demographic variables’ effects on risk perception and optimistic bias, and their change, provided mixed results. The lessening of risk perception and increase in optimistic bias over the period of quiescence suggest that risk communicators and emergency managers should direct attention toward reversing these trends to increase disaster preparedness.     

Using In Vitro High‐Throughput Screening Data for Predicting Benzo[k]Fluoranthene Human Health Hazards

Today there are more than 80,000 chemicals in commerce and the environment. The potential human health risks are unknown for the vast majority of these chemicals as they lack human health risk assessments, toxicity reference values, and risk screening values. We aim to use computational toxicology and quantitative high‐throughput screening (qHTS) technologies to fill these data gaps, and begin to prioritize these chemicals for additional assessment. In this pilot, we demonstrate how we were able to identify that benzo[k]fluoranthene may induce DNA damage and steatosis using qHTS data and two separate adverse outcome pathways (AOPs). We also demonstrate how bootstrap natural spline‐based meta‐regression can be used to integrate data across multiple assay replicates to generate a concentration–response curve. We used this analysis to calculate an in vitro point of departure of 0.751 μM and risk‐specific in vitro concentrations of 0.29 μM and 0.28 μM for 1:1,000 and 1:10,000 risk, respectively, for DNA damage. Based on the available evidence, and considering that only a single HSD17B4 assay is available, we have low overall confidence in the steatosis hazard identification. This case study suggests that coupling qHTS assays with AOPs and ontologies will facilitate hazard identification. Combining this with quantitative evidence integration methods, such as bootstrap meta‐regression, may allow risk assessors to identify points of departure and risk‐specific internal/in vitro concentrations. These results are sufficient to prioritize the chemicals; however, in the longer term we will need to estimate external doses for risk screening purposes, such as through margin of exposure methods.     

Pharmaceutically-Made Men: Masculinities in Chad’s Emergent Oil Economy

This article explores masculinities and changes in men’s lives in the rural oil fields of Chad during the period of an oil and pipeline project described by the World Bank as a “model” for oil-as-development. In many parts of Africa, private sector investment is concentrated in the extractive industries, especially oil and gas projects. Africa’s emerging oil economies entail new institutional configurations, or what Michael Watts called an “oil complex,” that challenge antecedent norms and forms of identity. In this article, I describe the expectations, desires, and experiences of three distinct groups of men—those who found temporary employment on the project, those who continued to make a living from farming while contending with land expropriation, and those who migrated to oil field towns in search of work—to make three general points about the oil complex and masculinities in Chad. The structure of the global oil industry meant that local men who found jobs on the project could act as breadwinners and patriarchs, but only temporarily; local workers struggled post-employment with their exclusion from the possibilities associated with the project. Men who never found jobs continued to eke out a living from the land, but state-of-the-art policies governing land expropriation led simultaneously to conflict in families and greater economic interdependence among family members. Finally, in the low-media environment of the oil field region, ideas and images about sex, sexuality, and love emanating from the transient and hyper-masculine global oil industry workforce served as models for landless young men who migrated to oil field towns and who, in the absence of work, sought to transform themselves into objects of desire through the mediation of pharmaceuticals.

     

White Ethnic Diversity in Small Town Iowa: A Multilevel Analysis of Community Attachment

Community attachment is the feeling of being connected to community life. Within the community attachment literature, two classic approaches frame scholars’ understanding of this important dimension of community life: the linear development and systemic models. Our empirical models emphasize different factors for community attachment, including population size, density, and heterogeneity for the linear development model and age, length of residence, and social status for the systemic model. Surprisingly, heterogeneity has been omitted from analyses of the linear development model throughout the literature since its introduction, a shortcoming our study addresses. Though heterogeneity can be conceptualized in a number of ways, a large—and growing—body of literature focuses on the effects of race and ethnicity for communities. Here, we focus on a particular type of ethnic heterogeneity—European ancestry—and reincorporate this essential dimension of communities back into the linear development model of community attachment. Using data from the 2004 wave of the Iowa Community Survey and multilevel modeling techniques, we explore how white ethnic diversity matters for community life. We conclude with a discussion of the implications of our study, including potential avenues for future research focusing on other ethnicities that are often subsumed under broader racial and panethnic labels.     

Effects of a Mindfulness Task on Women’s Sexual Response

Mindfulness-based interventions are effective at improving symptoms of sexual dysfunction in women. The mechanisms by which mindfulness improves sexual function are less clear. The main objective of our study was to investigate the impact of a mindfulness task on sexual response in women. Forty-one women (mean age = 27.2, SD = 5.6) participated in two laboratory sessions that each included two erotic films and one attention task that were presented in counterbalanced order. Both attention tasks consisted of a six-minute audio recording of either a modified body scan, focusing on genital arousal sensations (mindfulness condition), or a visualization exercise. Subjective and genital sexual arousal were measured continuously during stimulus presentation. The mindfulness task led to greater subjective and lower genital arousal. The agreement of subjective and genital sexual arousal (i.e., concordance) was greater in the mindfulness condition. Trait mindfulness was related to lower sexual arousal but also greater sexual concordance in women. Mindfulness-based interventions that encourage women to focus on physical arousal sensations in the here and now may be associated with women’s improved sexual function by enhancing feelings of sexual arousal during sexual activity and by increasing concordance between subjective and genital sexual arousal.     

Integrating Analysis and Communication Skills into the Decision Science Curriculum*

The teaching of decision sciences presupposes that careful attention is directed toward improving students' critical thinking and analytical skills. This paper presents an approach to teaching quantitative methods classes that focuses on developing student skills in the areas of analytical and critical thinking through written and oral communication. The approach requires very little additional instructor preparation time and does not require the instructor to make major changes in either the content or organization of the course. While the instructor's investment is minimal, the benefits to the students appear to be substantial.     

Data Driven Modeling: An Application in Scheduling

This paper presents a data driven modeling (DDM) approach to certain types of optimization problems. DDM relinquishes control of the completed model to the user department rather than the operations research (OR) staff. The approach emphasizes development of models that are dependent on data maintained and understood by the users. The data base consists of coded user rules which describe when changes will occur in the problem structure and data which captures the generalization of the problem. Both the rules and data can be updated by user department personnel. These data drive a matrix generator controlled by the rules which uses the data base as input to generate the specific model formulation. This DDM system is designed by OR consultants or staff to allow independence of use along with low-cost and minimal-effort maintenance. The DDM approach is illustrated with an application to a real-world medical scheduling problem.