Shame,Sexual Compulsivity,and Eroticizing Flirtatious Others: An Experimental Study

Clinical observation and correlational studies with nonclinical samples suggest that a linkage between negative affective states (especially shame) and engagement in erotic pursuits typifies sexual compulsivity. The present study tested whether experimental induction of shame leads to increased interest in erotically suggestive targets among more sexually compulsive individuals. A total of 74 age-traditional heterosexual university students first recalled either an emotionally neutral or a shame-inducing personal experience, then completed a nonpredictive gaze-cueing task featuring flirtatious or emotionally neutral faces of the same or opposite sex. They also rated the faces’ attractiveness and completed a validated sexual compulsivity scale and two control measures (executive control, sociosexuality). Higher (versus lower) sexual compulsivity predicted weaker gaze-triggered attentional orienting in response to the flirtatious opposite-sex face in the shame (versus neutral) condition, and this was accounted for by (higher) attractiveness ratings of the flirtatious opposite-sex face. Shame thus appears to increase sexualization (i.e., reduces salience of agentic features and increases appeal of physical attributes) of erotically suggestive targets among more sexually compulsive individuals.     

BEHAVIORAL PATTERNS IN SOCIAL NETWORKS

In this article, we focus on the analysis of individual decision‐making for the formation of social networks, using experimentally generated data. We analyze the determinants of the individual demand for links under the assumption of agents' static expectations and identify patterns of behavior that correspond to three specific objectives: players propose links so as to maximize expected profits (myopic best response strategy); players attempt to establish the largest number of direct links (reciprocator strategy); and players maximize expected profits per direct link (opportunistic strategy). These strategies explain approximately 74% of the observed choices. We demonstrate that they are deliberately adopted and, by means of a finite mixture model, well identified and separated in our sample. (JEL C33, C35, C90, D85)     

He Said What? Guided Cognitive Reframing About the Co‐Resident Father/Stepfather–Adolescent Relationship

We studied young adolescents' seeking out support to understand conflict with their co‐resident fathers/stepfathers, and the cognitive and affective implications of such support‐seeking, phenomena we call guided cognitive reframing. Our sample included 392 adolescents (M_age = 12.5, 52.3% female) who were either of Mexican or European ancestry and lived with their biological mothers and either a stepfather or a biological father. More frequent reframing was associated with more adaptive cognitive explanations for father/stepfather behavior. Cognitions explained the link between seeking out and feelings about the father/stepfather and self. Feelings about the self were more strongly linked to depressive symptoms than cognitions. We discuss the implications for future research on social support, coping, guided cognitive reframing, and father–child relationships.     

Regression Methods for Combining Multiple Classifiers

As no single classification method outperforms other classification methods under all circumstances, decision-makers may solve a classification problem using several classification methods and examine their performance for classification purposes in the learning set. Based on this performance, better classification methods might be adopted and poor methods might be avoided. However, which single classification method is the best to predict the classification of new observations is still not clear, especially when some methods offer similar classification performance in the learning set. In this article we present various regression and classical methods, which combine several classification methods to predict the classification of new observations. The quality of the combined classifiers is examined on some real data. Nonparametric regression is the best method of combining classifiers.     

Exploring the current and future role of market towns in servicing their hinterlands: a case study of Alnwick in the North East of England

Faced with the problems of access, distance and low population density, the provision of quality services to rural areas is inherently difficult. Although the role of market towns in alleviating problems in the provision of rural services has been given little consideration within the academic literature, they are currently being targeted by UK government policy. Using a case of the hinterland of Alnwick, a market town in the North East of England, this paper explores the current and future role of market towns in servicing their hinterlands. The results suggest a mutual dependence between market town services and hinterland residents and that the continuation of this relationship depends on market towns taking advantage of demographic trends in rural areas. Faced with changing demographics and the wider use of the Internet, potential is identified for ‘clawing-back’ trade from larger urban areas and creating an enhanced role for market towns. Extending the sense of belonging beyond the boundaries of the town itself will also be important in increasing patronage of town services.     

Getting a head start: early provision of day care among municipalities in Norway

Municipal day care services for children in Norway have experienced two important reforms: the introduction of the Kindergarten Act in 1975, and the introduction of preschools for 6-year-olds in 1991. Focusing on the relationship between environmental inputs and policy outcomes, this article attempts to identify characteristics influencing the propensity towards early provision of day care in the municipalities. Applying logistic regression, service-specific factors show the greatest importance, as opposed to more general municipal features. The political system, in terms of high female representation and low representation from the Christian Democratic Party, the Center Party, and the Progress Party in local councils, seems responsive to the proportion of children, the percentage of women working full time, and average net income per capita. The persisting importance of gender-specific variables is discussed – suggesting different interpretations of the results in relation to the feminization of politics.     

The geographic distribution of gaming machine proceeds in New Zealand

ABSTRACT

Within NZ gambling and its associated harms are well-researched topics. However, most studies to date have relied upon the use of survey methodology or have focused on individual regions. In this paper we distribute gaming machine proceeds (GMP) from gaming venues to the surrounding localities in order to derive estimates of GMP per capita. It is hoped these estimates will enable the trusts who operate the electronic gaming machines (EGMs), and who are responsible for reinvesting a proportion of proceeds back into the community, to more accurately target funding towards the areas most affected by the harms of EGM gambling. Our estimates of GMP per capita also provide a means of assessing the criterion validity of the recently developed Dynamic Deprivation Index. Furthermore, although it is well known that Māori and Pacific Island populations have a higher incidence of problem gambling, our results imply that when controlling for socio-economic deprivation and the geographic location of EGMs the associations between ethnicity and GMP per capita are weak. From a policy perspective, this suggests the most effective way of limiting the harms of EGM gambling on these populations is to place tighter controls on the number of venues within their communities.