The Development of Dynamic Facial Expression Recognition at Different Intensities in 4- to 18-Year-Olds

The primary purpose of this study was to examine the effect of the intensity of emotion expression on children's developing ability to label emotion during a dynamic presentation of five facial expressions (anger, disgust, fear, happiness, and sadness). A computerized task (AFFECT—animated full facial expression comprehension test) was used to display facial emotion expressions as animations with four levels of intensity (35, 50, 75, and 100 percent). In this study, which employed a cross-sectional design, 240 participants from 4 to 18 years completed the AFFECT. Results indicated that recognition ability developed for each of the emotions, with the exception of disgust, over the age range tested. Girls were more accurate than boys, especially for anger and disgust expressions. Recognition accuracy was found to increase as a function of the intensity of emotional expressions.     

Sources of Negative Attitudes toward Immigrants in Europe: A Multi-Level Analysis1

In recent times, many nations are experiencing an increase in anti-immigrant attitudes on the part of natives. Most papers only explore one or two sources of anti-immigrant attitudes at a time, which provides an incomplete picture of the effects at work. This paper tests eight different explanations for anti-immigrant attitudes: cultural marginality theory, human capital theory, political affiliation, societal integration, neighborhood safety, contact theory, foreign investment, and economic competition. Analysis is conducted using combined data from the European Social Survey and Eurostat/OECD and individual-, regional-, and national-level predictors. Results indicate that key predictors of anti-immigrant attitudes are regional and national interpersonal trust, education level, foreign direct investment, and political variables.     

The Promotion of Children's and Adolescents’ Social Participation in Italy and Scotland

This article presents the theoretical framework, methodology and the main results of a comparative research on the promotion of children's social participation in Italy and Scotland, which was based on politicians’, managers’ and practitioners’ representations. Promotion of participation here is considered a form of social intervention in which adults construct and treat children as citizens entitled to be involved in decision‐making processes, due to their competence in self‐expression and making choices. The study revealed a coexistence of different images of childhood and social intervention, as well as some interesting differences and similarities between the two socio‐cultural contexts.     

Updating Rurality Index for Small Areas in Spain

Nowadays, there is a wide debate about what rural means. An operational definition of rural concept is essential in order to measure health problems, optimize resource allocation and facilitate decision making aimed at closing the gap on inequity between areas. In 2005, the rurality index for Small Areas in Spain (IRAP) was developed using the 1991 Census of Population data. Nevertheless, the concept and definition of rurality may evolve through time. In order to capture these changes, the variables used to make up the rurality index should be reviewed and updated periodically. Along these lines, and within the context of the rural–urban continuum, the aim of this paper is to replicate and update the IRAP using the data provided by the 2001 Census of Population, as well as to describe the changes in rurality observed in each municipality between 1991 and 2001. The index was updated on a Principal Components Factor Analysis, giving rise to a single factor that is correlated to the aging of the population, economic dependency, farming, livestock or fishing-related employment, self-employment, second dwelling ratio, population density, immigration and perception of noises and atmospheric pollution in the surroundings of the residential area. Most variables that made up the 1991 IRAP remain as important components of the 2001 index, indicating the robust nature of the measure. Only 10% of the Spanish municipalities have changed their rurality status between the two Censuses. The 2001 rurality index can be considered a good updated approach to the concept of rurality in Spain as well as an important criterion to social policies.     

Global–regional interaction to extend access to social protection for migrant workers: Insights from ASEAN and MERCOSUR

Universal access to social protection for migrant workers is emerging as a problematic issue in the implementation of free movement regimes at a regional level. This article focuses on the concept of regional governance as a possible mechanism to address the unsolved challenges of social security regimes to extend coverage. To this end, the article looks at current legal developments in two regional projects (ASEAN and MERCOSUR) to identify a creative approach to strengthen the development of national floors of social protection. The interest of using these case studies lies in exploring whether the regional integration process can play a major role in the progressive extension of social protection rights to migrant workers by facilitating the adoption of social security agreements.     

Getting funded. Multi-level network of physicists in Italy

Much of the work in the sociology of science observes scientific communities from a micro perspective, focusing on interactions in laboratories in order to uncover the impact of social and cultural norms in the everyday production of scientific results. Other studies approach the topic from a macro perspective, analysing scientific organizations and the reciprocal influence they have with wider society, or uncovering the invisible colleges that become apparent through the analysis of co-authorship and citations’ patterns. Less attention has been paid to the meso level of interaction within and between scientists and the institutions they work in. This paper extends the structural approach of Lazega et al. (2008. Catching up with big fish in the big pond? Multi-level network analysis through linked design. Social Networks 30, 157–176) and analyses the local system of public funding to physics in Italy using bipartite networks. Data cover 10 years of funding of Projects of National Interest (Prin) from the Italian Ministry of University and Research. The micro level (collaborations between scientists), macro level (collaborations between institutions) and meso level (the combination of network measures at a micro and macro level) of interactions are independently analysed, and results are used to model the total amount of money physicists have received over the 10 years against the variables that meaningfully describe the network structure of collaborations. Results show that in order to be successfully funded what counts more than being a big fish (a scientist with a lot of connections) working in a big pond (a large University), is being in a brokerage position interacting over the years with different research groups.     

Juvenile offender rehabilitation in Estonia: interprofessional collaboration in written assessments and specialists’ perceptions

Qualitative and quantitative research methods were used to study an interprofessional assessment model in rehabilitation services and its implementation in Estonia based on (1) a sample of rehabilitation plans for 160 juvenile offenders aged 7–18 and (2) expert interviews with 10 members of an interprofessional assessment team. Each specialist’s role was compared with the assessments. While each team member is assigned a discrete role based on discipline, in practice, the disciplines’ work overlapped considerably during the assessment process. The overlap seems to occur because team members conduct their assessments individually, rather than following the collaborative best practice model for interprofessional teams described in the literature. The expert interviews indicate that rehabilitation specialists perceive the individual-level elements of interprofessional teamwork to be consistent with the ideals articulated in the Perception of Interprofessional Collaboration Model, while the substantial overlap in assessments that occurred in practice could be related to lack of interprofessional collaboration at group and organizational levels. Recommendations to improve the functioning of teams serving juvenile offenders include establishing an interprofessional education system, increasing the flexibility of the legal framework for service provision, and improving the interprofessional assessment instrument.     

Tools for evaluating EU agricultural policies: An integrated approach

The aim of this paper is to propose a theoretical “multi-phase” strategy for analysing in dynamic terms the territorial impact of agricultural and environmental EU policy measures. This approach should also allow to evaluate the adjustment capability of farms as a function of the characteristics of different territories. The proposed methodology is illustrated by an example using data relative to the 41 provinces of Northern Italy. In the first step, a multivariate statistical analysis (MSA) consisting in Principal Component Analysis and Cluster Analysis leads to the identification of homogeneous clusters of territorial units. The territorial mapping is conditional to a predetermined set of indicators that takes into account different aspects of agricultural development. In a second step, Positive Mathematical Programming (PMP) allows to introduce the impact of agricultural policies (compensatory payments, price changes, etc.) returning different scenarios of land use and agricultural profitability. According to the outputs of the PMP, the third step consists in a new MSA for detecting any changes in the territorial mapping. Convergence analysis can then synthesise the impact of the different policy options.     

Sexual abuse: Effects of group therapy on pre-adolescent girls

This article describes the effectiveness of a group therapy program used at the University of Manitoba with pre-adolescent girls who have experienced sexual abuse. Thirty-five girls, ranging in age from 7 to 12, were referred to structured therapy groups of 9 to 12 weeks' duration. Issues addressed in weekly sessions included feelings about the offender, problem-solving, sex education, and prevention of further abuse. Measurements of self-esteem, anxiety, and internalizing and externalizing behaviour problems were taken for participating children prior to and following treatment at 1 and 9 to 12 month intervals. Parent- and child-reported social validity data were also collected following treatment. Comparison group data for self-esteem and anxiety were provided by a non-random sample of 35 girls with no known history of sexual abuse. Results indicated that following group therapy, self-esteem increased and anxiety and behaviour problems decreased. Comparison group data further supported the effectiveness of group treatment in improving the self-esteem of sexually abused girls. Social validity reports of children and parents also suggested that treatment was helpful and worthwhile. Implications of the findings are discussed as are difficulties encountered in conducting treatment outcome research with children who have been sexually abused.     

A Monte Carlo method for filtering a marked doubly stochastic Poisson process

The author provides an approximated solution for the filtering of a state-space model, where the hidden state process is a continuous-time pure jump Markov process and the observations come from marked point processes. Each state k corresponds to a different marked point process, defined by its conditional intensity function λ _k (t). When a state is visited by the hidden process, the corresponding marked point process is observed. The filtering equations are obtained by applying the innovation method and the integral representation theorem of a point process martingale. Since the filtering equations belong to the family of Kushner–Stratonovich equations, an iterative solution is calculated. The theoretical solution is approximated and a Monte Carlo integration technique employed to implement it. The sequential method has been tested on a simulated data set based on marked point processes widely used in the statistical analysis of seismic sequences: the Poisson model, the stress release model and the Etas model.