Modeling distances between humans using Taylor’s law and geometric probability

Taylor’s law states that the variance of the distribution of distance between two randomly chosen individuals is a power function of the mean distance. It applies to the distances between two randomly chosen points in various geometric shapes, subject to a few conditions. In Réunion Island and metropolitan France, at some spatial scales, the empirical frequency distributions of inter-individual distances are predicted accurately by the theoretical frequency distributions of inter-point distances in models of geometric probability under a uniform distribution of points. When these models fail to predict the empirical frequency distributions of inter-individual distances, they provide baselines against which to highlight the spatial distribution of population concentrations.     

The social gradient in cultural consumption and the information‐processing hypothesis

Patterns of cultural consumption have a strong social gradient which is primarily driven by education, but what explains these educational differences in cultural preferences remains unclear. Explanations based on information processing capacity have gained widespread currency; the perceived cognitive ‘difficulty’ of both appreciating high culture, and of maintaining broad, omnivorous tastes. If, on average, high culture is more complex than low culture then a higher level of information processing capacity may be required to derive enjoyment from it. In contrast, socialization theories suggest that exposure to ‘high’ culture, may explain this gradient, particularly among university graduates with degrees in the Arts or Humanities. To test these two theories we use the Cultural Capital and Social Exclusion survey (n = 1,079) and estimate the association between degree type and measures of cultural preference and consumption, including: film directors, artists, and cultural participation. Compared to non‐graduates, arts, humanities, and social science graduates are more likely to enjoy highbrow directors and artists, and are more likely to be cultural omnivores; while graduates from other subjects are not clearly distinct from non‐graduates in their cultural preferences. These findings suggest that information processing plays a minor role in shaping the social gradient in cultural consumption.     

Forced Migration,Climate Change,Mitigation and Adaptive Policies in Mexico: Some Functional Relationships

Natural disasters related to hydro-meteorological events have increased during the last few decades, both in frequency and severity. Mexico is heavily exposed to climate change, but has also suffered in the past from climate variability ( Blümel, 2009 ). The new risks oblige the government to develop mitigation processes, while the affected people are implementing strategies of adaptation and resilience-building, mostly at the family and community level. This includes forced migration due to climate change into the slums of megacities or illegal immigration to the United States. The arid, semi-arid and subhumid condition of 49.2 per cent of the territory of Mexico is seriously affected by climate change. In addition, poverty and the lack of jobs have created complex livelihood situations, in which young people leave rural areas, partly due to socio-economic pull factors. In this paper, we address the functional relationships between climate patterns and migration processes in Mexico, highlighting the linkages between the origin of migrants, their economic activity and their vulnerability to extreme events and we discuss long-term climate patterns. Agriculture still uses 78 per cent of the available water in Mexico. In the drylands the competition for water use requires an integrated policy to deal with the new threats from climate change, including mitigation from the top down and adaptation processes from the bottom up to reduce the social vulnerability of the rural population in the highly affected drylands of the central and northern parts of Mexico. The new policy for administering water resources, which promotes the efficient use of an increasingly scarce and polluted resource, still suffers from a lack of participation by the affected rural population. In this paper, we propose an integrated management system from the watershed onwards, involving socio-economic, political, cultural and hydrological variables, to deal with the rising scarcity of water, and the uncertainty and complexity of climate change.     

Historical Analysis of the Adoption and Safe Families Act of 1997

Congress enacted the Adoption and Safe Families Act (ASFA) in 1997 in an attempt to provide safety, stability, and permanency for maltreated children. To help provide a historical context, child welfare legislation preceding ASFA is reviewed. In this historical analysis, the precipitating events that led to the creation of ASFA are assessed. In addition, a detailed review of congressional hearings related to this Act is given. The key components and goals of this policy are outlined. Finally, revisions made to ASFA are discussed, and its influence on proceeding legislation is presented.     

Empathic Accuracy and Aggression in Couples: Individual and Dyadic Links

The authors examined links between intimate partner aggression and empathic accuracy—how accurately partners can read one another's emotions—during highly affective moments from couples' (N = 109) video recall of laboratory‐based discussions of upsetting events. Less empathic accuracy between partners was generally related to higher levels of aggression by both partners. More specific patterns emerged based on the type of aggression and emotion being expressed. Women's poorer ability to read their partners' vulnerable and positive emotions was linked to both men's and women's greater physical and psychological aggression. Moreover, women's inaccuracy in reading their partner's hostility was linked to women's greater psychological aggression toward the men. Men's inaccuracy in reading their partner's hostility was linked to women's (not men's) greater physical and psychological aggression. The results suggest important nuances in the links between empathic inaccuracy and aggression, and implications for prevention and treatment of partner aggression are discussed.     

Recombinative Generalization of Tacts Through Matrix Training with Individuals with Autism Spectrum Disorder

Foss (Journal of Experimental Psychology, 76, 450–459, 1968a; Journal of Experimental Psychology, 77, 341–344, 1968b) compared overlap and non-overlap instruction to promote recombinative response generalization using a matrix training procedure. In the present study, we used a similar set of procedures to teach tacting of kitchen items and prepositions (i.e., relational autoclitics) to three females ages 13–20, diagnosed with autism spectrum disorder. We taught some kitchen items/prepositions as tacts (e.g., “the strainer is to the right of the box”) according to a non-overlap instructional sequence. Subsequently, we taught more combinations in an overlap instructional sequence. Each training procedure was followed by probes of untrained relations. Two participants demonstrated recombinative generalization of untrained combinations following the first non-overlap phase, while the third participant demonstrated some response generalization of untrained relations after a few additional training sequences. All three participants demonstrated generalized tacting of object components while two participants showed generalized tacting of preposition components.     

A Monte Carlo comparison of alternative methods of maximum likelihood ranking in racing sports

Applications of maximum likelihood techniques to rank competitors in sports are commonly based on the assumption that each competitor's performance is a function of a deterministic component that represents inherent ability and a stochastic component that the competitor has limited control over. Perhaps based on an appeal to the central limit theorem, the stochastic component of performance has often been assumed to be a normal random variable. However, in the context of a racing sport, this assumption is problematic because the resulting model is the computationally difficult rank-ordered probit. Although a rank-ordered logit is a viable alternative, a Thurstonian paired-comparison model could also be applied. The purpose of this analysis was to compare the performance of the rank-ordered logit and Thurstonian paired-comparison models given the objective of ranking competitors based on ability. Monte Carlo simulations were used to generate race results based on a known ranking of competitors, assign rankings from the results of the two models, and judge performance based on Spearman's rank correlation coefficient. Results suggest that in many applications, a Thurstonian model can outperform a rank-ordered logit if each competitor's performance is normally distributed.