Symbolic interaction theory and the cognitively disabled: A neglected dimension

Symbolic interactionists have by and large not explored how individuals with mental illnesses—specifically, delusional misidentification syndromes—are able to exercise the cognitive factors necessary for successful interaction. Such factors include: recognition of self and others, situated interpretation, inferring others’ cognitive and emotional states, anticipating what others might say or do, empathizing, maintaining a cogent belief system, etc. What needs to be addressed is how the mentally ill manage—and fail to manage—these cognitively-informed activities as they slip more and more into cognitive and existential chaos, and the associated loss of meaningful dialogue with self and others. Clinical accounts of the cognitively dysfunctional could widen and deepen our understanding of cognition, belief states, self, and self-other relations, central concepts for symbolic interactionists. Accordingly, this paper is as much a critique of symbolic interactionism as a contribution to a humanistic social psychology.     

Markov Chain Monte Carlo in small worlds

As the number of applications for Markov Chain Monte Carlo (MCMC) grows, the power of these methods as well as their shortcomings become more apparent. While MCMC yields an almost automatic way to sample a space according to some distribution, its implementations often fall short of this task as they may lead to chains which converge too slowly or get trapped within one mode of a multi-modal space. Moreover, it may be difficult to determine if a chain is only sampling a certain area of the space or if it has indeed reached stationarity. In this paper, we show how a simple modification of the proposal mechanism results in faster convergence of the chain and helps to circumvent the problems described above. This mechanism, which is based on an idea from the field of “small-world” networks, amounts to adding occasional “wild” proposals to any local proposal scheme. We demonstrate through both theory and extensive simulations, that these new proposal distributions can greatly outperform the traditional local proposals when it comes to exploring complex heterogenous spaces and multi-modal distributions. Our method can easily be applied to most, if not all, problems involving MCMC and unlike many other remedies which improve the performance of MCMC it preserves the simplicity of the underlying algorithm.     

Demand Constraints on Agricultural Growth in East and Southern Africa: A General Equilibrium Analysis

This article analyses demand constraints on agricultural growth in seven countries of East and Southern Africa using an applied general equilibrium framework. It finds that both traditional and non‐traditional export crops have limited potential to raise incomes because of demand constraints (for traditional exports) or a relatively small base (for non‐traditional exports). The best prospects for agriculture‐led growth remain in the food sector, where domestic demand represents a large and growing market. Improvements in market efficiency and simultaneous growth in the livestock sectors can help spur demand further and avert falls in prices. Achieving rapid gains in farm incomes, however, also requires investment in rural infrastructure to reduce marketing costs, and demand‐ enhancing growth in the non‐agricultural sector to spur demand.     

Why a time effect often has a limited impact on capture‐recapture estimates in closed populations

The author is concerned with log‐linear estimators of the size N of a population in a capture‐recapture experiment featuring heterogeneity in the individual capture probabilities and a time effect. He also considers models where the first capture influences the probability of subsequent captures. He derives several results from a new inequality associated with a dispersive ordering for discrete random variables. He shows that in a log‐linear model with inter‐individual heterogeneity, the estimator N is an increasing function of the heterogeneity parameter. He also shows that the inclusion of a time effect in the capture probabilities decreases N in models without heterogeneity. He further argues that a model featuring heterogeneity can accommodate a time effect through a small change in the heterogeneity parameter. He demonstrates these results using an inequality for the estimators of the heterogeneity parameters and illustrates them in a Monte Carlo experiment     

Development and Consideration of Global Policies for Managing the Future Risks of Poliovirus Outbreaks: Insights and Lessons Learned Through Modeling

The success of the Global Polio Eradication Initiative promises to bring large benefits, including sustained improvements in quality of life (i.e., cases of paralytic disease and deaths avoided) and costs saved from cessation of vaccination. Obtaining and maintaining these benefits requires that policymakers manage the transition from the current massive use of oral poliovirus vaccine (OPV) to a world without OPV and free of the risks of potential future reintroductions of live polioviruses. This article describes the analytical journey that began in 2001 with a retrospective case study on polio risk management and led to development of dynamic integrated risk, economic, and decision analysis tools to inform global policies for managing the risks of polio. This analytical journey has provided several key insights and lessons learned that will be useful to future analysts involved in similar complex decision-making processes.     

Teachers' role in the primary prevention of child abuse dilemmas and problems

During the 1980s, many school-based primary prevention programmes were developed and adopted by schools. Much of the early enthusiasm which greeted these programmes dissipated in the light of often disappointing evaluations of the impact of the programmes on children. It is argued, however, that evaluating student outcomes should not occur before theextent of programme utilization is established. In this paper, an overview is given on the dilemmas and problems faced by teachers attempting to implement a primary prevention programme in South Australia. It is revealed that teachers selectively omit sections of the primary prevention programme as a way of resolving personal dilemmas presented by the programme. Some teachers are sensitive about teaching personal and controversial issues related to child abuse, while others deny the seriousness of child abuse in theirschool. The implications of the findings are that: (a) it cannot be assumed that primary prevention programmes are implemented by teachers in ways that are consistent with programme design; (b) teachers' personal beliefs, attitudes and feelings need to be addressed in any school-based primary prevention initiative; (c) training approaches and school support mechanisms need to focus on methods by which teachers can resolve the dilemmas raised by school-based primary prevention programmes in ways other than by radically dismembering the programme.     

Stigma Happens: Social Problems in the Siting of Nuclear Waste Facilities

The paper by Metz challenges the view that stigma associated with a nuclear waste repository might lead to significant economic losses to the host region. We have been invited to comment on the general issues raised by this paper. We find that much of the evidence presented in the paper consists of factual and conceptual errors and misrepresentations of the research literature. Based on our review of evidence documenting the social and economic impacts of perceived risk, we conclude that stigma is an important phenomenon that is symptomatic of fundamental problems with the way in which nuclear waste facilities are sited.