Interpreting Child Sexual Abuse: Empathy and Offense-Supportive Cognitions among Child Sex Offenders

Researchers have suggested that child sex offenders hold distorted views on social interactions with children. Misinterpreting children’s behavior and intentions could lead to sexually abusive behavior toward children. It is further suggested that the interpretation process is influenced by offenders’ offense-supportive cognitions and levels of empathy. To examine the relationships between these three concepts, 47 contact offenders completed self-reports on offense-supportive cognitions and empathy. Vignettes were developed to assess the extent to which offenders attributed responsibility, benefit, and complicity to children in hypothetical child molestation incidents. This study showed that cognitions that justify sexual offending against children seem to diminish the threshold for sexual assault by assigning more cooperation and willingness of the victim in a child molestation incident.     

Cosmopolitan Justice and the Globalization of Capitalism: The UNDP and ILO Proposals

Abstract

Recently several proposals for more effective, democratic and just forms of global governance have been put forward. In this paper I compare the proposals by the United Nations Development Programme, the International Labour Organization and cosmopolitan democrats like David Held. I assess to what extent they are in accordance with cosmopolitan views of global justice and I critically evaluate to what extent they may be feasible interim steps. The conclusion is that even though some proposals are more radical than others, they all leave in place the current institutions of an international order based on sovereign nation-states, global capitalism and its resulting inequality, and models of development as based on maximizing economic growth. If cosmopolis is to replace empire in the international system, then these certainties need to be open for discussion, too.     

SCREENING DISABILITY INSURANCE APPLICATIONS

This paper investigates the effects of stricter screening of disability insurance applications. A large‐scale experiment was set up wherein two of the 26 Dutch regions caseworkers of the disability insurance administration were instructed to screen applications more stringently. The empirical results show that stricter screening reduces long‐term sickness absenteeism and disability insurance applications. We find evidence for direct effects of stricter screening on work resumption during the period of sickness absence and for self‐screening by potential disability insurance applicants. Furthermore, stricter screening improves targeting efficiency without inducing negative spillover effects on the inflow into unemployment insurance.     

The DYNAMO-HIA Model: An Efficient Implementation of a Risk Factor/Chronic Disease Markov Model for Use in Health Impact Assessment (HIA)

In Health Impact Assessment (HIA), or priority-setting for health policy, effects of risk factors (exposures) on health need to be modeled, such as with a Markov model, in which exposure influences mortality and disease incidence rates. Because many risk factors are related to a variety of chronic diseases, these Markov models potentially contain a large number of states (risk factor and disease combinations), providing a challenge both technically (keeping down execution time and memory use) and practically (estimating the model parameters and retaining transparency). To meet this challenge, we propose an approach that combines micro-simulation of the exposure information with macro-simulation of the diseases and survival. This approach allows users to simulate exposure in detail while avoiding the need for large simulated populations because of the relative rareness of chronic disease events. Further efficiency is gained by splitting the disease state space into smaller spaces, each of which contains a cluster of diseases that is independent of the other clusters. The challenge of feasible input data requirements is met by including parameter calculation routines, which use marginal population data to estimate the transitions between states. As an illustration, we present the recently developed model DYNAMO-HIA (DYNAMIC MODEL for Health Impact Assessment) that implements this approach.     

How Friendship Network Characteristics Influence Subjective Well-Being

This article explores how friendship network characteristics influence subjective well-being (SWB). Using data from the 2003 General Social Survey of Canada, three components of the friendship network are differentiated: number of friends, frequency of contact, and heterogeneity of friends. We argue that these characteristics shape SWB through the benefits they bring. Benefits considered are more social trust, less stress, better health, and more social support. Results confirm that higher frequency of contacts and higher number of friends, as well as lower heterogeneity of the friendship network are related to more social trust, less stress, and a better health. Frequency of contact and number of friends, as well as more heterogeneity of the friendship network increase the chance of receiving help from friends. With the exception of receiving help from friends, these benefits are in turn related to higher levels of SWB. Only the frequency of meeting friends face-to-face has a remaining positive direct influence on SWB.     

Policy transfer routes: an evidence-based conceptual model to explain policy adoption

Although studies on policy transfer have expanded, a general and comprehensive understanding of policy transfer is lacking. This study offers an evidence-based explanation of policy transfer processes. We extracted constraining and facilitating factors from 180 empirical studies using PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analysis) and aggregated these factors into a conceptual framework. We synthesize our findings in four “transfer routes”. We conclude that actors could shape a subset of those factors by taking certain decisions regarding transferability, adoptability and process design, albeit within the boundaries of the environment.     

The strength of sensitivity to ambiguity

We report an experiment where each subject’s ambiguity sensitivity is measured by an ambiguity premium, a concept analogous to and comparable with a risk premium. In our design, some tasks feature known objective risks and others uncertainty about which subjects have imperfect, heterogeneous, information (“ambiguous tasks”). We show how the smooth ambiguity model can be used to calculate ambiguity premia. A distinctive feature of our approach is estimation of each subject’s subjective beliefs about the uncertainty in ambiguous tasks. We find considerable heterogeneity among subjects in beliefs and ambiguity premia; and that, on average, ambiguity sensitivity is about as strong as risk sensitivity.     

Research review: Aging out of residential care in South Africa

Approximately 21,000 children were accommodated in residential care in South Africa in 2011/2012. Despite this large number, and the state's substantial financial investment in residential care, there has, until recently, been little research on care‐leaving: the transition out of care due to reaching adulthood. Furthermore, much of the research available has not been published in international journals. This article reports on a systematic review of research on residential care‐leaving in South Africa, from 2003 to 2016. A thematic analysis of the resulting 40 research outputs maps the scope of findings from South African research, in relation to theory of leaving care, measurement tools developed, young people's experiences of leaving care, transitional outcomes, processes of leaving care, facilitators of improved outcomes, care‐leaving services, and policy on leaving care. Critical gaps in the current research opus are identified, with a view to refining future research on young people aging out of care in South Africa.