Suicide risk and exposure to mobbing

The aim of this study was to study suicide risk in subjects exposed to mobbing, that is, systematic psychological harassment in the workplace. Such psychological harassment, unique to the workplace, threatens both the emotional well-being and professional ability of its victims. The items of the Minnesota Multiphasic Personality Inventory-2 (MMPI-2) that assess suicide risk were studied in 102 individuals who were exposed to mobbing. The results indicated that individuals exposed to mobbing had clear differences on the MMPI-2 from normative samples. In addition, those who appeared to be at risk for suicide differed in their scores from those not at risk. Implications for psychopathology and suicide preventions are discussed.     

Be Careful Where You Smile: Culture Shapes Judgments of Intelligence and Honesty of Smiling Individuals

Smiling individuals are usually perceived more favorably than non-smiling ones—they are judged as happier, more attractive, competent, and friendly. These seemingly clear and obvious consequences of smiling are assumed to be culturally universal, however most of the psychological research is carried out in WEIRD societies (Western, Educated, Industrialized, Rich, and Democratic) and the influence of culture on social perception of nonverbal behavior is still understudied. Here we show that a smiling individual may be judged as less intelligent than the same non-smiling individual in cultures low on the GLOBE’s uncertainty avoidance dimension. Furthermore, we show that corruption at the societal level may undermine the prosocial perception of smiling—in societies with high corruption indicators, trust toward smiling individuals is reduced. This research fosters understanding of the cultural framework surrounding nonverbal communication processes and reveals that in some cultures smiling may lead to negative attributions.     

Creative placemaking and the NEA: unpacking a multi-level governance

The role of the National Endowment for the Arts (NEA) in shaping the arts and cultural sector is not well understood. In this paper, I focus on the development of the governance of the creative placemaking policy to unpack the complexity of the role of the NEA. Governance is used to refer to collective action designed to achieve a general interest through different actors from both the government and civic society. I use intergovernmental relations theory to capture governance dynamics in creative placemaking. In particular, I focus on three main tools developed by the NEA to spur a multi-level governance: research, grants, and partnerships. What emerges is that the role of the NEA in the development of the creative placemaking policy is multifaceted as it includes offering and leveraging funding, shaping the conversation, providing insights, and spurring collaborations. These actions create a multi-level governance based on a dynamic exchange between national and local governments, and the involvement of a variety of actors from civil society.     

Call Me Text,Just Text*

This text introduces and discusses the MOVIMENTO HO (HO MOVEMENT), a collective action conceived by Brazilian performance artist Eleonora Fabião and realized November 2016 in Rio de Janeiro. Performed by 4,700 bricks, 3 books, a group of 7 artists-collaborators, gallery visitors, the cultural center’s staff, a truck and moving workers, among others, the action started at Centro Municipal de Arte Hélio Oiticica (Municipal Art Center Hélio Oiticica, located in downtown Rio) and ended in front of the Casa das Mulheres da Maré (Women’s House at Maré, located in one of the city’s major conglomerates of slums). During 7 days people, bricks, books, and truck, among others, moved one another through varied spaces, tangible and affective matters, and performative dimensions.     

A New Approach to Rank Several Multivariate Normal Populations with Application to Life Cycle Assessment

The need to establish the relative superiority of each treatment when compared to all the others, i.e., ordering the underlying populations according to some pre-specified criteria, often occurs in many applied research studies and technical/business problems. When populations are multivariate in nature, the problem may become quite difficult to deal with especially in case of small sample sizes or unreplicated designs. The purpose of this work is to propose a new approach for the problem of ranking several multivariate normal populations. It will be theoretically argued and numerically proved that our method controls the risk of false ranking classification under the hypothesis of population homogeneity while under the nonhomogeneity alternatives we expect that the true rank can be estimated with satisfactory accuracy, especially for the “best” populations. Our simulation study proved also that the method is robust in the case of moderate deviations from multivariate normality. Finally, an application to a real case study in the field of life cycle assessment is proposed to highlight the practical relevance of the proposed methodology.     

Union–intersection permutation solution for two-sample equivalence testing

One of the well-known problems with testing for sharp null hypotheses against two-sided alternatives is that, when sample sizes diverge, every consistent test rejects the null with a probability converging to one, even when it is true. This kind of problem emerges in practically all applications of traditional two-sided tests. The main purpose of the present paper is to overcome this very intriguing impasse by considering a general solution to the problem of testing for an equivalence null interval against a two one-sided alternative. Our goal is to go beyond the limitations of likelihood-based methods by working in a nonparametric permutation framework. This solution requires the nonparameteric Combination of dependent permutation tests, which is the methodological tool that achieves Roy’s Union–intersection principle. To obtain practical solutions, the related algorithm is presented. To appreciate its effectiveness for practical purposes, a simple example and some simulation results are also presented. In addition, for every pair of consistent partial test statistics it is proved that, if sample sizes diverge, when the effect lies in the open equivalence interval, the Rejection probability (RP) converges to zero. Analogously, if the effect lies outside that interval, the RP converges to one.     

Local analysis of economic disparities in Italy: a spatial statistics approach

The spatial variation of the value-added per hour worked across Italian NUTS3 areas is decomposed into a productivity effect and an occupational composition effect. By analysing patterns of spatial association of those different (but related) economic variables and by using different interaction schemes between locations, it is possible to identify local differences in economic outcomes and to draw some conclusions about their determinants. Geographical proximity is measured by travel time. The results signal the presence of intra-regional differences as significant as those between the major regions. Such differences may differ in terms of their underlying causes, even within regions.