The internalization of autonomous nature into society1

There is presently much theoretical discourse claiming that nature is being socially constructed or even abolished. Some authors celebrate this development and others lament it. Still others bracket nature's dynamics out of the analysis. The present paper critically assesses these theories and methodologies concerning relations between social practices and processes of nature. It then develops an alternative argument. The expansion of society into wilderness areas has brought new disturbances of nature into society. Pristine nature has been replaced by socially encompassed primal nature, which retains its capacity for independent dynamics that affect social constructions. Moreover, nature remains embedded in technology and so does its potential to escape control. These hybrids constructed by humans and nonhumans recombine processes and materials of nature. Now that this recombinant nature has been integrated into society and new primal dynamics of nature have been internalised, there is increasing reason to incorporate the forces of nature into sociological analysis.     

The Role of Society in Engineering Risk Analysis: A Capabilities-Based Approach

This article proposes a new conceptual framework in engineering risk analysis to account for the net impact of hazards on individuals in a society. It analyzes four limitations of prevailing approaches to risk analysis and suggests a way to overcome them. These limitations are a result of how societal impacts are characteristically accounted for and valued. Prevailing approaches typically focus too narrowly on the consequences of natural or man-made hazards, not accounting for the broader societal impacts of such hazards. Such approaches lack a uniform and consistent metric for accounting for the impact of the nonquantifiable consequences (like psychological trauma or societal impacts) and rely upon implicit and potentially inaccurate value judgments when evaluating risks. To overcome these limitations, we propose an alternative, Capabilities-Based Approach to the treatment of society in risk analysis. A similar approach is currently used by the United Nations to quantitatively measure the degree of development in countries around the world. In a Capabilities-Based Approach, the potential benefits and losses due to a hazard are measured and compared in a uniform way by using individual capabilities (functionings individuals are able, still able, or unable to achieve) as a metric. This Capabilities-Based Approach provides a foundation for identifying and quantifying the broader, complex societal consequences of hazards and is based on explicit, value judgments. The Capabilities-Based Approach can accommodate different methods or techniques for risk determination and for risk evaluation and can be used in assessing risk in diverse types of hazards (natural or man-made) and different magnitudes that range from minor to catastrophic. In addition, implementing a Capabilities-Based Approach contributes to the development of a single standard for public policy decision making, since a Capabilities-Based Approach is already in use in development economics and policy.     

Optimal dynamic treatment regimes

Summary. A dynamic treatment regime is a list of decision rules, one per time interval, for how the level of treatment will be tailored through time to an individual's changing status. The goal of this paper is to use experimental or observational data to estimate decision regimes that result in a maximal mean response. To explicate our objective and to state the assumptions, we use the potential outcomes model. The method proposed makes smooth parametric assumptions only on quantities that are directly relevant to the goal of estimating the optimal rules. We illustrate the methodology proposed via a small simulation.     

Adjusting for Time‐Varying Confounding in Survival Analysis

In this paper we illustrate how directly including endogenous time‐varying confounders in the model of the effect of an exposure on a response can lead to bias in discrete time survival analysis. An alternative to this method is Hernán, Brumback, and Robins'(1999) use of sample weights to adjust for endogenous time‐varying confounding. We discuss when this method can be used to provide unbiased estimators, and we illustrate the method by addressing a substantive research question using existing survey data. We also critically examine the robustness of the weighting method to violations of the underlying assumptions via a simulation analysis.     

Concurrent and Across Time Prediction of Young Adolescents' Social Functioning: The Role of Emotionality and Regulation

The social functioning of 64 young adolescents (10‐ to 12‐year olds) was examined in relation to negative emotionality and regulation during early adolescence, as well as two, four, and six years earlier. Young adolescents who were viewed as relatively high in social functioning (i.e., high teacher‐rated school social competence; low mother‐ or father‐rated problem behavior) were generally viewed as relatively low on negative emotionality and high on regulatory abilities during early adolescence as well as two, four, and six years earlier. Furthermore, negative emotionality and regulation during early adolescence, and in some cases at previous time periods, contributed unique variance to the prediction of social functioning during early adolescence. Young adolescents who were consistently low in social functioning across time were higher on negative emotionality and lower on regulation than were young adolescents who were consistently high on social functioning over time.     

AIDS and kitchen gardens: insights from a village in Western Kenya

In rural Africa, indigenous farming and natural resource management systems exemplified by kitchen gardens are being reshaped by the HIV/AIDS epidemic and its negative impacts (illness, stigma and mortality, and economic costs) and positive opportunities (organizational responses to the epidemic). Subtle changes in crops and farm techniques can be traced to these diverse influences of HIV+ infection, illness, mortality, widowhood, foster child care, and AIDS support groups, as well as the organizations, ideas, and flow of funding from outside. These findings draw on original field data: a village census, in-depth interviews with gardeners, and group discussions in a village in Bungoma District (in 2005 and 2007). This part of western Kenya is a typical small-farm zone that has faced a moderate HIV/AIDS epidemic since the 1990s, following decades of demographic, environmental, technological, and institutional changes. Implications of this case study for further research on HIV/AIDS and on micro-level population–environment change suggest that households are useful but imperfect analytical units and are best seen as part of complex social networks, shaping connections to markets. These important “mediating institutions” link AIDS as a demographic and economic force with environmental outcomes in cultivated landscapes.