The Development of Math–Race Stereotypes: “They Say Chinese People Are the Best at Math”

Sixty elementary‐school children (9–10 years old) and 82 adolescents (12–13 years old) completed explicit and implicit measures of racial stereotypes about math. 60 Asian, 42 Latino, 21 White, 15 Black, and four multiracial students participated (42% boys). On the explicit measure, children as early as fifth grade reported being aware of the stereotype that Asians = math, but only adolescents personally endorsed this stereotype. On the implicit measure, there was significant evidence for racial stereotypes about math among adolescents. Across both ages, individual students’ explicit awareness of the stereotype was significantly correlated with their implicit stereotypes. Early adolescence is a key developmental window for discussing stereotypes before they become endorsed as personal beliefs.     

Networked lives

Social network analysis has grown tremendously across a wide range of disciplines and is now regarded as a road‐map in strengthening links with the life‐course perspective. ‘Linked lives’ is often cited as a key principle of life‐course theory, but there is still much to be learned about the significance of these links for the life course. Network theory refines our understanding of the properties of these links, their emergence as structures in daily life, and the mechanisms underlying the inequalities that arise from social relationships. This paper clarifies why networks can be conceptualised as meso‐level structures that bridge the micro‐macro gap. It thus addresses four processes of particular interest for the integration of life‐course and network research: (a) the problem of tie formation; (b) the activation of ties as social capital; (c) their resilience through segments of a life course; and finally, (d) the problem of their loss. In so doing, we highlight innovative approaches for each of these issues in order to propose a research agenda we call ‘Networked Lives’, which emphasises promising avenues for advancing the integration of these two important fields in the social sciences.     

Ryff’s Six-factor Model of Psychological Well-being, A Spanish Exploration

This article aims to provide researchers interested in using Ryff’s Scales of Psychological Wellbeing with additional information to make an informed decision on the scales and items to use. It builds on the discussion in the literature on the six factor structure of this measure. An alternative shortened version of this wellbeing measure (Van Dierendonck 2004). Personality and Individual Differences, 36, 629–643) was analyzed in a combined Spanish language sample from Spain and Columbia. Using confirmatory factor analysis, one-, two-, three- and six-factor models were compared. The results showed that indeed four out the six dimensions overlapped considerably. Nevertheless, the model that fit the data best was the six factor model with one underlying second order well-being factor, hereby confirming Ryff’s model in a non-Anglo–Saxon culture.     

Persons and Hypotheses: The Use of the Therapist in the Hypothesising Process

Although hypothesising has been strongly criticised by postmodern and narrative theorists, it plays a major role in any therapy. This article aims to investigate the hypothesising process, first revisiting the concept of hypothesis in semiotics and Schön's theory of the professions, then examining some features of hypothesising within systemic therapy. The article takes into account the relationship between hypotheses and therapists' basic theories, to arrive, finally, at an examination of the role of the person (both therapist and client) in shaping hypotheses within the therapeutic interaction.     

Unemployment Duration and Disability: Evidence from Portugal

This paper studies the relationship between having a disability and unemployment duration by focusing on individuals registered at Portuguese job centers. Despite its relevance, because disabled people are likely to occupy disadvantaged positions in the labor market, it has received little attention in the literature. As different disabilities affect unemployment duration differently, we distinguish different types of disabilities and shed light on disability-specific support policies. We apply a discrete time hazard model with unobserved heterogeneity to microdata from the Instituto do Emprego e Formação Profissional, which are free from self-reporting problems in disability identification. We find lower reemployment probabilities for many groups of disabled people: individuals with impairment in general functions, disfiguring, speech and visual disorders, muscle-skeletal and other organ impairments experience the more disadvantaged positions. Decomposition analysis indicates that part of the disadvantage is due to differences in returns rather than to differences in characteristics. These findings suggest that the disadvantage of disabled people in the labor market is not only explained by a different distribution of characteristics but especially by the interaction of their characteristics with the work environment. Policy implications are discussed.     

The Transition to Work for Italian University Graduates

This study is focused on the transition from university to first job, taking into account the graduates’ characteristics and the effects relating to degree subject. A large data set from a survey on job opportunities for the 1998 Italian graduates is used. The paper uses a non‐parametric discrete‐time single‐risk model to study employment hazard. Alternative mixing distributions have also been used to account for unobserved heterogeneity. The results obtained indicate that there is evidence of positive duration dependence after a short initial period of negative duration dependence. In addition, a competing‐risk model has been estimated to characterize transitions out of unemployment.     

Performative connections: translating sustainable energy transition by local communities†

Italian policies in the field of sustainable energy transition have supported mainly the deployment of large-sized renewable energy plants. At the same time the transition was fostered also through small or medium plants and in rural and mountain areas. In this paper we present the case study of Sasso di Castalda, a little mountain municipality located in the Basilicata region (Southern Italy), one of the poorest and the most sparsely populated areas of Italy. The main theoretical assumption is that the sustainable energy policies designed by National (or supra-National) institutions are translated in practice at the local level through “performative connections”. The sociology of translation (Callon) is adopted to investigate how ecological modernization is fostered in the energy field at the local level in disadvantaged contexts. This research focuses on the connections which shaped the sustainable transition in the community, considering environmental governance and regulations as well as local social practices. What the research shows is the relevance of the performative relations enacted in a multilevel and heterogeneous network. Indeed, within this pattern diversified skills were activated, along with specific technological and organizational configurations.     

Planning a Bayesian early-phase phase I/II study for human vaccines in HER2 carcinomas

Recent innovative statistical approaches for phase I/II clinical trials allow one to jointly model the toxicity and efficacy of a new treatment, taking into account the information gathered during the trial. Prior probabilities are then updated with interim data and thus predictive probabilities become more accurate as the trial progresses. In this study, prior distribution elicited from a physician's opinion on the available dose levels planned for a vaccination dose-finding trial, with human DNA in patients with HER2-positive tumours in terms of toxicity and therapeutic response is presented and discussed. A simulation study was conducted in order to quantify the impact of the choice of prior on study results, i.e. the recommended dose level at the end of the trial.     

Testing equality of cause-specific hazard rates corresponding to m competing risks among K groups

Erratum

Testing equality of cause-specific hazard rates corresponding to m competing risks among K groups