Myriad potential for mentoring: Understanding the process of transformational change through a gender equality intervention

This article contributes to understanding transformational change towards gender equality by examining the transformational change potential of a mentoring programme for women, a type of gender equality intervention both criticized and praised for its ability to bring about change. Drawing upon an empirical case study of a mentoring programme for women academics in a Dutch university, we explore three dimensions of transformational change: organizational members (i) discussing and reflecting upon gendered organizational norms and work practices; (ii) creating new narratives; and (iii) experimenting with new work practices. Our findings indicate five specific conditions that enable transformational change: cross‐mentoring, questioning what is taken for granted, repeating participation and individual stories, facilitating peer support networks and addressing and equipping all participants as change agents. We suggest that these conditions should be taken into account when (re)designing effective organizational gender equality interventions.     

Coping Trajectories from Adolescence to Young Adulthood: Links to Attachment State of Mind

The objective of this study was to examine the links between coping and attachment. In a longitudinal study of 112 participants, coping behavior was assessed at five points in time during adolescence (starting at the age of 14 years) and early adulthood. In addition, at the age of 21 years, state of mind regarding current and earlier attachment experiences was assessed by employing the Adult Attachment Interview (AAI). In both adolescence and early adulthood, differences in coping styles were found to be related to differences in attachment. Individuals classified as secure dealt with their problems more actively by using their social network during adolescence and at the age of 21 years. Both secure and dismissing individuals used more internal coping than those with a preoccupied state of mind. Latent growth curve modeling revealed that differences in active and internal coping between secure and insecure individuals applied to the rate of change in these coping styles between 14 and 21 years, with participants in the secure group showing much steeper growth in both coping styles. Only minor differences were found with respect to withdrawal as a coping style. The results represent first evidence that coping trajectories during adolescence and young adulthood are linked with attachment state of mind.     

Sustainability when capital management has stochastic consequences

Sustainability is usually defined as a requirement of each generation to manage its stocks of man-made and natural capital such that the utility that it ensures itself can be shared by all future generations. Here we extend this definition to the case where capital management does not have deterministic consequences. A characterization is offered where the sustainability of one generation's behavior can be determined by comparing its utility with the utility of the succeeding generation, provided that the latter behaves in a sustainable manner. The properties of the definition are investigated and illustrated. Received: 26 April 1994/Accepted: 15 April 2002     

A Population Approach to Analysis of Variance Models

Several authors have contributed to what can now be considered a rather complete theory for analysis of variance in cases with orthogonal factors. By using this theory on an assumed basic reference population, the orthogonality concept gives a natural definition of independence between factors in the population. By looking upon the treated units in designed experiments as a formal sample from a future population about which we want to make inference, a natural parametrization of expectations and variances connected to such experiments arises. This approach seems to throw light upon several controversial questions in the theory of mixed models. Also, it gives a framework for discussing the choice of conditioning in models     

Beyond Contact? Policy approaches to work with families of looked after children in four European countries

In England, placement within the looked after system is not viewed as a desirable long‐term solution for most children, and policy has prioritised continued contact with parents, and swift return home, wherever possible. This review examines policy approaches to work with families of looked after children in England and in three other European countries: Denmark, France and the Netherlands, aiming to identify areas for shared learning in relation to this challenging area of policy and practice. The research highlights relationships between care populations and policy understandings of the purpose of work with families, including understandings of children's and/or parents’ rights.     

Symptoms of Eating Disorders Among Females in Drug Addiction Treatment

The aim of this study is to measure and describe symptoms of eating disorders among females in treatment for drug addiction in Norway. Previous clinical and epidemiological studies have revealed coprevalence between eating disorders and substance use or abuse. However, few studies have measured eating disorders in drug-using samples and even fewer within the context of drug treatment. In this study, 29 females with drug use disorder in residential treatment were tested with the Eating Disorder Inventory–2. A subgroup of 9 females (31%) with significant symptoms of eating disorders was identified. The characteristics of this group and possible clinical consequences are discussed.     

Seeing the system: Systemic gender knowledge to support transformational change towards gender equality in science

Scholars agree that gender inequality is systemic and that participants in gender equality interventions need knowledge on gender inequality processes. However, a detailed view on the specific characteristics of this knowledge is as yet missing. This article aims to contribute to gender equality interventions by conceptualizing and visualizing systemic gender knowledge as an important condition for transformational change. Combining gender and participatory system dynamics literature, this article first introduces the concept of systemic gender knowledge. This concept captures two main characteristics that make gender knowledge systemic: knowledge on the interaction of gender inequality processes and endogenous thinking, here implying a focus on the organization as the relevant level of analysis. In addition to this conceptual contribution, the research contributes methodologically to the gender inequality intervention literature by designing a visualization process, translating written texts into system dynamics models which enable exploration of systemic gender knowledge. Finally, the research contributes empirically by exploring the systemic gender knowledge of participants in two science research institutes of a Dutch university, finding shifts in both characteristics of systemic gender knowledge. This enables researchers to discern whether gender equality interventions lead to increases in systemic gender knowledge, thus supporting transformational change.     

Kernel naive Bayes discrimination for high‐dimensional pattern recognition

Kernel discriminant analysis translates the original classification problem into feature space and solves the problem with dimension and sample size interchanged. In high‐dimension low sample size (HDLSS) settings, this reduces the ‘dimension’ to that of the sample size. For HDLSS two‐class problems we modify Mika's kernel Fisher discriminant function which – in general – remains ill‐posed even in a kernel setting; see Mika et al. (1999). We propose a kernel naive Bayes discriminant function and its smoothed version, using first‐ and second‐degree polynomial kernels. For fixed sample size and increasing dimension, we present asymptotic expressions for the kernel discriminant functions, discriminant directions and for the error probability of our kernel discriminant functions. The theoretical calculations are complemented by simulations which show the convergence of the estimators to the population quantities as the dimension grows. We illustrate the performance of the new discriminant rules, which are easy to implement, on real HDLSS data. For such data, our results clearly demonstrate the superior performance of the new discriminant rules, and especially their smoothed versions, over Mika's kernel Fisher version, and typically also over the commonly used naive Bayes discriminant rule.     

Effects of Parental Divorce on Teenage Children’s Risk Behaviors: Incidence and Persistence

It is generally difficult to separate the effects of divorce from selection when analyzing the effects of parental divorce on children’s risk behaviors. We used propensity score matching and longitudinal data methods to estimate the effects of parents’ divorce on their children’s binge drinking, alcohol consumption, tobacco use, marijuana use, and hard drug use. The children were between 12 and 18 years old in the first survey and between 18 and 24 years old in the second survey. Our results suggest that parental divorce significantly increased the probability of risk behaviors in their children. Moreover, many of these adverse impacts persisted over time, especially among teenage girls.     

The Relationship Between Aversive Conditioning and Risk-avoidance in Gambling

This study investigated the relationship between aversive conditioning, heart rate variability suppression, behavioral activation system/behavioral inhibition system and risk-avoidance on the Iowa gambling task (IGT) in a nonclinical sample (29 male, 29 female, mean age = 20.7). A laboratory based Pavlovian aversive conditioning paradigm was used where a 1500 Hz tone (CS+) was followed by a burst of loud white noise (US), and a 850 Hz (CS−) tone was never followed by the US. In a subsequent extinction phase where the CS+ and CS− were presented without the US, conditioned skin conductance responses to the CS+ indicated aversive conditioning. The results showed that the participants who did not show aversive conditioning (N = 26) exhibited significantly less risk-avoidance compared to participants who did show aversive conditioning (N = 32). Regression analysis showed that among the study variables, only aversive conditioning contributed significantly to explaining variance in risk-avoidance. These results may have implications for understanding risk-taking in gambling in general, and may be a starting point understanding the role of aversive conditioning in the development and maintenance of gambling problems.