Search

The first European Union Survey on Violence against Women (EU-VAW) released in 2014 revealed the unexpected result indicating that the world's most egalitarian countries have relatively high rates of Intimate Partner Violence Against Women (IPVAW). This phenomenon, referred to as the "Nordic Paradox," revived a heated, intermittently ongoing discussion dating back four decades where several competing hypotheses about the relationship between gender inequality and IPVAW have been proposed, but no consensus has been reached. The main aim of this paper is to revisit the most important of such hypotheses proposed in the last four decades, while proposing a new one that could potentially throw some light on understanding the "Nordic Paradox." Multilevel linear regression models are estimated using data from the EU-VAW survey conducted in 2012, and an alternative operationalization of the Gender Equality Index (GEI) (our measure of gender equality). We did not find any significant effect of gender equality on IPVAW repetition. However, we found that higher country-level status of women and men go together with less IPVAW, with a larger effect of women's status in economic domains compared to the impact of men's economic status, and a larger effect of men's overall status. These findings support the Marxist feminist hypothesis, stating that women's absolute status in the economic and labor domain is critical in lessening IPVAW, as women's real and potential access to resources is key for leaving a violent relationship. At the same time, our results support the "male privilege protection" hypothesis, which states that gains in women's status in certain domains—such as in the economic sphere considering our results for the European Union—would not suppose a threat to men, allowing ameliorative effects. In contrast, if the overall status of men is threatened, backlash effects would be triggered. [ABSTRACT FROM AUTHOR]

Risk Assessment is the systematic study of decisions subject to uncertain consequences. An increasing interest has been focused on modeling techniques like Bayesian Networks since their capability of (1) combining in the probabilistic framework different type of evidence including both expert judgments and objective data; (2) overturning previous beliefs in the light of the new information being received and (3) making predictions even with incomplete data. In this work, we proposed a comparison among Bayesian Networks and other classical Quantitative Risk Assessment techniques such as Neural Networks, Classification Trees, Random Forests and Logistic Regression models. Hybrid approaches, combining both Classification Trees and Bayesian Networks, were also considered. Among Bayesian Networks, a clear distinction between purely data-driven approach and combination of expert knowledge with objective data is made. The aim of this paper consists in evaluating among this models which best can be applied, in the framework of Quantitative Risk Assessment, to assess the safety of children who are exposed to the risk of inhalation/insertion/aspiration of consumer products. The issue of preventing injuries in children is of paramount importance, in particular where product design is involved: quantifying the risk associated to product characteristics can be of great usefulness in addressing the product safety design regulation. Data of the European Registry of Foreign Bodies Injuries formed the starting evidence for risk assessment. Results showed that Bayesian Networks appeared to have both the ease of interpretability and accuracy in making prediction, even if simpler models like logistic regression still performed well. [ABSTRACT FROM AUTHOR]

The objective of this paper is to compare the topology and the emerging urban geographies of two infrastructural networks across European cities: the international intercity Internet backbone and aviation networks. Both of them are facilitators of the knowledge economy and contribute to what was identified by Castells as the first layer of the space offlows, supporting the world city process. In order to compare them, network analysis methods and complex networks theory are employed. The results indicate the different attributes of these networks, the lack of scale-free characteristics but also the different roles different cities perform in these networks. [ABSTRACT FROM AUTHOR]