The cult of Champ Man: the culture and pleasures of Championship Manager/Football Manager gamers

This paper considers the popularity and social significance of the gaming series Championship Manager/Football Manager. Sport-related games continue to be one of the most popular forms of digital gaming, and the series has proved to be one of the most successful of all time. Drawing on 32 interviews with game players and developers of this series, this paper argues that this series has proved particularly popular due to its 'intertextual' links to the sport of football, which allows this game to be drawn on as a resource in conversations and social networks. In particular, this paper argues that aspects of gaming, such as performativity and control, extend and cross-cut with wider social formations. Hence, the author argues that it is crucial that considerations of digital games seek to locate these within wider social and cultural patterns.     

Characterizing Environmental Harm: Developments in an Approach to Strategic Risk Assessment and Risk Management

Environmental policymakers and regulators are often in the position of having to prioritize their actions across a diverse range of environmental pressures to secure environmental protection and improvements. Information on environmental issues to inform this type of strategic analysis can be disparate; it may be too voluminous or even absent. Data on a range of issues are rarely presented in a common format that allows easy analysis and comparison. Nevertheless, judgments are required on the significance of various environmental pressures and on the inherent uncertainties to inform strategic assessments such as “state of the environment” reports. How can decisionmakers go about this type of strategic and comparative risk analysis? In an attempt to provide practical tools for the analysis of environmental risks at a strategic level, the Environment Agency of England and Wales has conducted a program of developmental research on strategic risk assessment since 1996. The tools developed under this program use the concept of “environmental harm” as a common metric, viewed from technical, social, and economic perspectives, to analyze impacts from a range of environmental pressures. Critical to an informed debate on the relative importance of these perspectives is an understanding and analysis of the various characteristics of harm (spatial and temporal extent, reversibility, latency, etc.) and of the social response to actual or potential environmental harm from a range of hazards. Recent developments in our approach, described herein, allow a presentation of the analysis in a structured fashion so as to better inform risk‐management decisions.     

Services for troubled adolescents: exploring user variation

This paper outlines some of the main findings from an exploratory study of a sample of 257 adolescents living in children's homes, foster homes and residential special schools ‘for pupils with emotional and behavioural difficulties’ (‘EBD’). It focuses on the characteristics of service users, particularly contrasting the looked after and EBD groups. Though there are some similarities, there are also important differences between the populations in terms of age, gender, ethnicity, reasons for separation, legal status, family background and education. An attempt was made systematically to compare groups by creating a subsample of ‘difficult’ adolescents, based on involvement in anti‐social behaviour. Unexpectedly, this revealed that half of the teenagers were not ‘difficult’. Factors associated with being identified as ‘difficult’ were explored.     

An analysis of two probabilistic model induction techniques

Two probabilistic model induction techniques, cart and constructor, are compared, via a series of experiments, in terms of their ability to induce models that are both interpretable and predictive. The experiments show that, although both algorithms are able to deliver classifiers with predictive performance close to that of the optimal Bayes rule,constructor is able to generate a probabilistic model that is more easily interpretable than the cart model. On the other hand, cart is a more mature algorithm and is capable of handling many more situations (e.g., real-valued training sets) thanconstructor. A variety of characteristics of both algorithms are compared, and suggestions for future research are made.     

The effects of physical activity and sedentary behavior on cognitive health in older adults

Physical activity has been shown to be positively associated with cognitive health, but the mechanisms underlying the benefits of physical activity on cognitive health are unclear. The present study simultaneously examined two hypotheses using structural equation modeling (SEM). The depression-reduction hypothesis states that depression suppresses cognitive ability and that physical activity alleviates dysphoric mood and thereby improves cognitive ability. The social-stimulation hypothesis posits that social contact, which is often facilitated by socially laden physical activities, improves cognitive functioning by stimulating the nervous system. Sedentary behavior in the absence of physical activity is expected to exert an inverse relationship on cognitive health through each of these hypotheses. Community-dwelling elders (N = 158) were administered a variety of measures of cognition, depression, social support, and physical activity. SEM techniques provided partial support for the social-stimulation hypothesis and depression-reduction hypothesis. Implications for treating depression and improving cognitive functioning are discussed.     

Alcohol abuse as a rite of passage: the effect of beliefs about alcohol and the college experience on undergraduates' drinking behaviors

Qualitative studies of alcohol's ritual influences indicate that college undergraduates who drink heavily tend to view alcohol use as integral to the student role and feel entitled to drink irresponsibly. Our analyses, based on a standardized measure of these beliefs administered to approximately 300 students, confirmed these findings. Among our sample, beliefs about alcohol and the college experience had an effect on levels of alcohol consumption similar in magnitude to that of other variables commonly associated with a risk for heavy drinking. Moreover, the alcohol beliefs index moderated the effects of three risk factors--gender, high school drinking, and friends' use of alcohol--on respondents' drinking behaviors. These findings are discussed within the context of the anthropological literature on liminality and rites of passage and with regard to strategies for intervention that address the structural roots of the widespread abuse of alcohol on college campuses.     

Predictors of falling in older Maryland drivers: a structural-equation model

Falls can impair health and reduce quality of life among older adults. Although many factors are related to falling, few analyses examine causal models of this behavior. In this study, factors associated with falling were explored simultaneously using structural-equation modeling. A variety of cognitive, physical-performance, and health measures were administered to 694 older adult drivers from the state of Maryland. The observed and latent variables of age, cognitive ability, physical functioning, health, and falling behavior were used to create a causal model. The model revealed that being older was associated with declines in cognition, and such cognitive declines predicted increased falling. Similarly, poorer health was related to poorer physical functioning, which, in turn, also predicted increased falling. This model indicates that in addition to existing fall-prevention interventions aimed at improving physical functioning, interventions to improve cognition and health might also be effective. It is speculated that fear of falling, which often results in reduced mobility among older adults, might account for the lack of a direct relationship between age and falling. This hypothesis should be examined in further research.     

Ridge Autoregression Estimation: LS Method

In an AR (p)-model, least-squares estimation of the parameters is considered when it is suspected that the parameters may belong to a linear subspace and the estimated covariance matrix is ill-conditioned. Accordingly, we define five estimators and study their properties in an asymptotic setup to discover dominance properties based on asymptotic distributional bias (ADB), MSE (ADMSE) matrices, and under quadratic risks (ADQR).