The role of adversity and stress in psychopathology: some evidence and its implications for theory and research

Three lines of research--studies of extreme situations, epidemiological investigations of relations between socioeconomic status (SES) and psychiatric disorders, and a quasi-experimental test of the social causation-social selection issue raised by the epidemiological findings--provide strong evidence that environmental adversity is important in the occurrence not only of post-traumatic stress disorder (PTSD) but also of other types of psychopathology, including major depression, alcoholism, substance use disorders, antisocial personality disorder, and nonspecific distress. Leads from this triad of studies are developed into a basic proposition about the nature of the role of adversity and stress. The core of this proposition is that the likelihood of onset of the above types of disorder increases with two factors: (1) the proportion of the individual's usual activities in which uncontrollable negative changes take place following a major negative event; and (2) how central the uncontrollable changes are to the individual's important goals and values. The role of environmental adversity in bringing about these uncontrollable changes varies with gender, ethnic/racial status, and SES in our own and other modern, urban societies. The types of psychopathology that develop and their course vary with both the types of adversity (e.g., whether life threat is involved) and with the personal predispositions of the individuals who experience the adversity and stress (e.g., family history of particular types of psychopathology).     

Policy challenges for child welfare in the new century

Recent changes in public policy reflect increased efforts to scapegoat poor women and children and to polarize the objectives of child protection and family preservation. This article challenges various stakeholders in the child welfare field to move beyond the quick-fix solutions and bureaucratic overregulation precipitated by horror stories of child abuse in the media. The new century presents an opportunity to pursue differential intervention strategies that protect children while empowering poor families and communities.     

'Bataille's boys': postmodernity, Fascists and football fans

In his analysis of football hooliganism, Anthony King claims to reveal the historical, conceptual scheme young, male supporters draw upon. This 'masculine vision', he states, is similar to that held by the Freikorps. Both groups are said to adhere to modernist notions of masculinity, sexuality and nationhood, reinforced by rituals which maintain boundaries between these 'proper' males and deviant 'others'. Occasionally, football hooligans breach these boundaries in acts of postmodern transgression. King also claims that fans link sex and violence in their imaginations. In this response I examine King's critique of his fellow theorists; challenge his 'Freikorps-Fans' analogy; demonstrate the problem he has in establishing the sex-violence link and question the relevance of his concept of postmodernity.     

An interactive three-stage model for mutual funds portfolio selection

The aim of this work is to be a useful instrument for helping finance practitioners on the selection of suitable mutual fund portfolios. The portfolio selection problem is characterized by imprecision and/or vagueness inherent in the required data and more generally, in the context where investors have to make decisions. In order to mitigate these problems, a three stage model has been proposed based on a multi-index model and considering several market scenarios described in an imprecise way by an expert. The proposed fuzzy model allows the Decision Maker to select, by means of an outranking method, a suitable portfolio taking into account the uncertainty related to the market scenarios and the imprecision and/or vagueness associated with the model data.     

The need for revaluation and assessment of Australian foster care programmes

This is a brief report on one aspect of a programme of applied research, in a large social welfare agency, designed to provide a basis for the evaluation of the policies, activities and structure of the agency.     

Social Amplification of Wildfire Risk: The Role of Social Interactions and Information Sources

Wildfire is a persistent and growing threat across much of the western United States. Understanding how people living in fire‐prone areas perceive this threat is essential to the design of effective risk management policies. Drawing on the social amplification of risk framework, we develop a conceptual model of wildfire risk perceptions that incorporates the social processes that likely shape how individuals in fire‐prone areas come to understand this risk, highlighting the role of information sources and social interactions. We classify information sources as expert or nonexpert, and group social interactions according to two dimensions: formal versus informal, and generic versus fire‐specific. Using survey data from two Colorado counties, we empirically examine how information sources and social interactions relate to the perceived probability and perceived consequences of a wildfire. Our results suggest that social amplification processes play a role in shaping how individuals in this area perceive wildfire risk. A key finding is that both “vertical” (i.e., expert information sources and formal social interactions) and “horizontal” (i.e., nonexpert information and informal interactions) interactions are associated with perceived risk of experiencing a wildfire. We also find evidence of perceived “risk interdependency”—that is, homeowners’ perceptions of risk are higher when vegetation on neighboring properties is perceived to be dense. Incorporating social amplification processes into community‐based wildfire education programs and evaluating these programs’ effectiveness constitutes an area for future inquiry.     

A decomposition technique for quantifying real process performance

A decomposition technique for quantifying the impacts of changes in product mix and process performance on aggregate process-related indicators is presented. Through application of the technique, the real performance of a process can be quantified. Changes in real performance over time can be monitored to provide useful information for process evaluation and production planning. Two case studies, one related to the aggregate defective rate for an assembly line of an integrated circuit fabrication plant and the other to the aggregate inventory turnover for a tyre distribution company, are presented to illustrate the application of the technique.     

The estimation of derivatives of a nonparametric regression function when the data are correlated

A kernel estimator of a derivative of arbitrary order of a nonparametric average population curve is considered for a correlated-errors model with balanced replicate measurements at each design point. Asymptotic expansions of the mean squared error are derived for two classes of correlation functions in the model. Consistency, choice of smoothing parameter, and rates of convergence are examined for the important special cases of estimating the first and second derivatives.