Smith D.H.: Determinants of Individual Prosociality and of Collective Social Solidarity–Cohesion: A Literature Review

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations -     

Racial microaggressions: Bridging psychology and sociology and future research considerations

This article reviews racial microaggressions, specifically psychology and sociology's historical trajectory in informing existing literatures and disciplines, in its connections to meso and macro levels of systemic racism. In doing so, we contend that a sociological understanding of racial microaggressions presents opportunities to better understand the cumulative and deleterious effects of racial violence on racialized groups. Furthermore, we argue that beyond bridging the disciplines of psychology and sociology to allow for more interdisciplinary analyses of racial microaggressions will help to move conversations in ways that more meaningfully capture the monstrosity of white supremacy and its cumulative deleterious effects of daily racial terrorism at all levels of society.     

Asymptotic behavior of RA-estimates in autoregressive 2D processes

In this work we study the asymptotic behavior of a robust class of estimators of the coefficient of a AR-2D process. We establish the precise conditions for the consistency and asymptotic normality of the RA estimator. The AR-2D model has many applications in image modeling and statistical image processing, therefore the relevance of knowing such properties. The adequacy of the AR-2D model is analyzed with real images; we also show the impact of contamination and the capability of the RA estimator to produce useful results even in the presence of spurious data.     

Statistical models for e-learning data

In this paper we analyse a real e-learning dataset derived from the e-learning platform of the University of Pavia. The dataset concerns an online learning environment with in-depth teaching materials. The main focus of this paper is to supply a measure of the relative importance of the exercises (test) at the end of each training unit; to build predictive models of student’s performance and finally to personalize the e-learning platform. The methodology employed is based on nonparametric statistical methods for kernel density estimation and generalized linear models and generalized additive models for predictive purposes.     

How to Integrate Macro and Micro Perspectives: An Example on Human Development and Multidimensional Poverty

When designing indicators of well being attention is focused on its multidimensionality and on aggregation across different dimensions. However, two other aspects need consideration: distribution of each indicator within its dimension (inequality) and joint distribution of individual achievements or—viceversa—of deprivations. Aim of this paper is to suggest a correction to the composite well-being index; correction that takes into account some aspects concerning the joint micro distribution of achievements across dimensions. As an example we correct the human development index by means of the multidimensional poverty index.     

The impact of job loss on family dissolution

The impact of involuntary job displacements on the probability of divorce is analysed using discrete duration models. The analysis uses the sample of couples from the British Household Panel Survey and distinguishes between types of displacements. Results show that couples in which the husband experiences a job loss are more likely to divorce. Redundancies have small, positive, often insignificant and short-lived effects while dismissals and temporary job endings have larger positive impacts. This is consistent with the interpretation of redundancies as capturing negative income shocks while other types of job loss also convey new information about potential future earnings and match quality.     

Synesthesia,transformation and synthesis: toward a multi-sensory pedagogy of the image

Clinical synesthesia is commonly defined as the experience of having perceptions in one sensory modality triggered by a stimulus from another. This paper adopts a particular orientation toward synesthesia, exploring it as a cultural phenomenon common to us all, as an ability that can be learnt instead of an accidental neurological condition. If synesthesia is both a capacity that we are not fully aware of and a way to access what is stored in memory even at the unconscious level, can art help us to bring this awareness back? Bearing upon a close reading of selected artworks created by Johannes Deutsch, a multi-media artist who has been experimenting with synesthesia, the paper argues that synesthesia can become a tool in the hands of contemporary artists to revitalize the Wagnerian ideal of a “total work of art”. This is to be understood as a politics of the senses based on communality rather than individualism, not as an ideology of totalitarian tendencies. Ultimately, the transformative potential of certain art resides in its capacity to foster a pedagogy of the image that is based upon multi-sensoriality, memory and history.     

Bailouts: The lesser of two evils?

This paper investigates the relation between bailouts and regulation. Regulation, by limiting the room for government intervention in the market, can affect the likelihood and size of a bailout. While a higher level of regulation is associated with a lower likelihood of a direct acquisition, such countries resort to a higher use of State aid. The findings suggest the more transparent nature of direct acquisitions, makes them the lesser of two evils. In this light, policymakers should monitor State Aid and bailouts together, with the aim of making the former more transparent.     

Reminiscing Style During Conversations About Emotion‐laden Events and Effects of Attachment Security Among Italian Mother–Child Dyads

Previous research has established that mothers' and children's elaborative/evaluative styles during conversations about emotion‐laden events are associated with a range of social‐cognitive accomplishments, and this has prompted researchers to identify factors that predict stylistic differences in conversation styles. The study explored whether patterns and variations in reminiscing styles reported in other cultures would be observed in an Italian sample (N = 40 dyads). Attachment security, assessed using the Adult Attachment Interview for mothers and the Q‐Sort for children, were tested as possible sources of variation in conversation style. The two reminiscing styles identified through a clustering procedure were consistent with those displayed by dyads from other cultural groups; moreover, these were significantly related to both mothers' and children's attachment security. These results extend knowledge on reminiscing conversations during early childhood to a different cultural context and contribute to an understanding of how individual differences in attachment affect partners' participation in such conversations.     

A clustering method for global optimization based on thekth nearest neighbour

In this paper we describe a stochastic method for global optimization based on a uniform sampling in the search domain. After a reduction of the sample, computing the distance between the remaining points and using the distribution of the kth nearest neighbour enables clusters of points to be built up, hopefully fitting the regions of attraction of significant local optima; from each of these a local search is started. The properties of the method are analysed, and detailed computational results on standard test functions are provided.