Key decisions in child protection services in cases of domestic violence: maintaining services and out‐of‐home placement

This paper looks at the response of the child protection services (CPS) system in cases where exposure to domestic violence occurs alone or together with abuse or neglect, focusing on the factors involved in decisions to maintain the case open for ongoing services or remove children from the home. The study is based on an analysis of clinical and administrative data from the files on children reported to a CPS agency in Montreal, Canada. A total of 1 071 substantiated reports were documented, including 337 cases of co‐occurrence (32%). Analysis of the data shows that domestic violence does not by itself constitute a factor liable to lead to more intrusive intervention. The CPS response appears to be influenced more by the existence of other forms of maltreatment and risk factors. Additionally, while domestic violence may be associated with more severe individual and family problems, it does not influence the decision to keep the case open because the child still need services. The lack of any connection between domestic violence and this decision is a cause for concern, as results indicate that such families need help. Knowing how to respond to their needs therefore remains a major challenge.     

Baby boomers and their entourage

The post-war generation of baby boomers has witnessed major transformations in family life as well as being at the vanguard of them. A study undertaken in Paris and London in 2006 among 90 individuals born between 1945 and 1954 reveals, however, strong relationships with ageing parents and adult children. Family groups based on local or dispersed entourages, with regular contact and the exchange of support, are clearly identified. Other configurations include families where affective ties persist but contact between the baby boomers and their entourage is less frequent. Few baby boomers have replaced family members with friends or remain socially isolated. These results show that the rise of individualism associated with the baby boomers has not weakened inter-generational ties, although tensions exist between the demands of family solidarity and individual projects.     

Linking gender,class and race in Brazil1

This article examines the socio‐historical effects of the intersection of representations of gender, race, and the nation which determine black Brazilian women's subaltern social position and inform their self‐representations. This intersection is presented from two perspectives: analysis of quantitative data and a case study. Through the examination of socio‐economic data on black women participation in the labour market, it show that, when compared with white women and black men, black women are unequally concentrated in certain low paid jobs in the service industry, such as for instance domestic work. Through a brief case study, basically interviews with women from different colours and social classes — i.e. domestic workers and their employers — it shows how the particularities of domestic work inform black women's race and gender self‐definitions.     

The healthcare supply network: current state of the literature and research opportunities

Abstract

This literature review maps recent studies addressing supply chain management (SCM) in the healthcare sector through a systematic approach that synthesises 74 empirical studies (2006–2016). Our approach adopts a network lens to map the literature and offers key contributions to the field. First, we show that there is a lack of network level studies. Second, there is an imbalance of research attention regarding the various types of supply, namely health services, medicines, medical supplies and blood supply. Third, we underline the advantages of the network lens, indicating network actors and flows between those actors that need further research. Fourth, we show an alarming lack of theoretical lens in healthcare SCM studies and draw attention to the fact that even when explicitly adopting a theory, some studies show inconsistencies between theoretical lens and level of analysis. Ultimately, we offer a map of future research for healthcare SCM through a network lens in order to improve the understanding the complexities of the healthcare sector.     

On tail index estimation based on multivariate data

This article is devoted to the study of tail index estimation based on i.i.d. multivariate observations, drawn from a standard heavy-tailed distribution, that is, of which Pareto-like marginals share the same tail index. A multivariate central limit theorem for a random vector, whose components correspond to (possibly dependent) Hill estimators of the common tail index α, is established under mild conditions. We introduce the concept of (standard) heavy-tailed random vector of tail index α and show how this limit result can be used in order to build an estimator of α with small asymptotic mean squared error, through a proper convex linear combination of the coordinates. Beyond asymptotic results, simulation experiments illustrating the relevance of the approach promoted are also presented.     

Social mobilizations and the question of social justice in contemporary Russia

ABSTRACT

Notwithstanding stereotypes of Russian apathy, long-term field research reveals that there have always been grassroots and labour protests in post-Soviet Russia, even as the shock of ultraliberal reforms led to mass precariousness and social disorientation. However, the social mobilizations that do occur are scattered, weakly publicized and mostly small-scale. This paper conceptualizes them as ‘everyday activism’, that is, an activism embedded in everyday life experience and pragmatic sense. Only recently, and in a paradoxical relation to the populist and patriotic Kremlin discourse, some new trends have emerged towards other popular variants of the new discourse that includes social equality claims and what the paper calls ‘social critical’ populism. However, this populism from below does not automatically lead to mass mobilization, although it provides the necessary background for it.     

Social Interaction Effects on Fertility: Intentions and Behaviors

The existing literature shows that the social interactions in personal networks affect individuals’ reproductive attitudes and behavior through three mechanisms: social influence, social learning, and social support. In this article, we discuss the extent to which the socio-psychological model of the Theory of Planned Behavior (TPB) takes these social mechanisms into account when used in modeling fertility intentions and behavior. We argue that by integrating all three social network mechanisms, the ability of the TPB to explain reproductive events could be enhanced in two respects. First, social influence explains why some beliefs and practices are reproduced at the individual level even in the face of macro-level changes, and social learning mechanisms are crucial to distinguish who finally adopts new behavioral beliefs and practices in response to changes at the macro level. Second, social support relationships represent a capital of services to complement institutional provision (informal child care) as well as a capital of knowledge which helps individuals navigate in a complex institutional environment, providing a crucial element to explain heterogeneity in the successful realization of fertility intentions across individuals. The integration of the three social network mechanisms into the TPB helps to address the connection between changes in what the theory indicates as background factors and variation in individual intentions and behavior. We develop specific hypotheses concerning the effect of social interactions on fertility intentions and their realization and conclude with a critical review of the existing surveys that could serve to test these hypotheses and their limits.     

Inferring an Augmented Bayesian Network to Confront a Complex Quantitative Microbial Risk Assessment Model with Durability Studies: Application to Bacillus Cereus on a Courgette Purée Production Chain

The Monte Carlo (MC) simulation approach is traditionally used in food safety risk assessment to study quantitative microbial risk assessment (QMRA) models. When experimental data are available, performing Bayesian inference is a good alternative approach that allows backward calculation in a stochastic QMRA model to update the experts’ knowledge about the microbial dynamics of a given food‐borne pathogen. In this article, we propose a complex example where Bayesian inference is applied to a high‐dimensional second‐order QMRA model. The case study is a farm‐to‐fork QMRA model considering genetic diversity of Bacillus cereus in a cooked, pasteurized, and chilled courgette purée. Experimental data are Bacillus cereus concentrations measured in packages of courgette purées stored at different time‐temperature profiles after pasteurization. To perform a Bayesian inference, we first built an augmented Bayesian network by linking a second‐order QMRA model to the available contamination data. We then ran a Markov chain Monte Carlo (MCMC) algorithm to update all the unknown concentrations and unknown quantities of the augmented model. About 25% of the prior beliefs are strongly updated, leading to a reduction in uncertainty. Some updates interestingly question the QMRA model.     

Value of an urban habitat for the native Mediterranean avifauna

Mediterranean landscapes resulted from complex land uses that produced a mosaic of extensive crops, grasslands, scrublands and scattered woodlands. During the twentieth century the decrease in traditional agriculture triggered a decrease in open habitats and an increase in forests. In the meantime urban centres grew dramatically. Both spread of forest and urban areas have been suspected to participate in the decline of typical Mediterranean bird species and, in general, to cause faunal loss. However, modern cities offer a variety of landscape types and, in the Mediterranean, their value for native bird species has been little assessed. We compared the bird communities from an urban landscape, including built up and natural or semi natural units within the limits of the city of Montpellier, to the bird communities from non-urban habitats (cropland, grassland and woodland) located nearby but away from direct urban influence. Fifty four percent of the bird species recorded in the non-urban habitats also occurred in the urban landscape. On average, estimated species richness in the urban landscape was similar to values obtained for non-urban habitats. Within the urban landscape species richness was lowest in the dense historical centre and highest in the residential areas. The residential areas and urban woods were suitable habitats for most generalist species but also for several more specialized species recorded in the non-urban habitats. Some species actually reached their highest observation frequency in the urban landscape. Urban landscape was least favourable to the same farmland and open-habitat specialists that have been negatively affected by agricultural abandonment in the region. Finally, five of the species common in the urban landscape had an unfavorable conservation status in 2004 in the EU. This study emphasizes that Mediterranean urban areas have the potential to host a diverse native bird community. Finding ways to improve their carrying capacity for the local avifauna might be a worthwhile objective for animal conservation.