Social risk in adolescence

Adolescence, defined as 10-24 years, is a time of heightened sensitivity to the negative effects of social rejection. Avoiding social risks – decisions or actions that could lead to social rejection - may therefore be important for adolescents, for whom social status and acceptance predicts future mental and physical health. In this thesis, I describe a series of studies that investigated the relationship between social risk and adolescence. In my first study, I developed a novel self-report measure of concern for health and social risk behaviours. I assessed age-related differences in concern for health and social risk between adolescence and adulthood, and whether these were related to rejection sensitivity and depressive symptomatology. In my second study, I explored the degree to which adolescents’ engagement in health risks and illegal behaviours was related to whether or not they perceived these behaviours to increase their likability. I also investigated how this relationship is impacted by adolescents’ experience of victimisation. In my third study, I used network analysis to explore the link between sexual minority status, depression, interpersonal relationships and health risk behaviours in a large cohort study of adolescents. In my fourth study, I designed an experiment to measure the extent to which adolescents versus adults show a preference for social versus non-social stimuli within an academic diligence task. I discuss how my findings suggest adolescence to be a period of heightened sensitivity to social risk, and how this impacts decisions to engage in risk taking behaviour. I consider how my findings relate to legal and policy issues around the minimum age of criminal responsibility, joint enterprise convictions and the use of peer-led approaches for behaviour change

Old Dogs and New Tricks: Facilitating Implementation of Contemporary Academic Technology with an Aging Teaching Population

Using a conversational approach, the authors address two fundamental dynamics of online education; engagement with students using online education technology and preparing “older” educators to use that technology. The authors present a discourse about the training of an older professor by a younger technologically savvy professor through the team-teaching of an online course called Facilitation Fundamentals. The professors redesigned the course with the goal of making it more engaging and authentic for adult learners. The redesign of the course is discussed as well as the teaching strategies used and technological hurdles the professors had to overcome. Finally, the professors reflect on the experience and the impact this approach had on students

A genetic and molecular model for flower development in Arabidopsis thaliana

Cells in developing organisms do not only differentiate, they differentiate in defined patterns. A striking example is the differentiation of flowers, which in most plant families consist of four types of organs: sepals, petals, stamens and carpels, each composed of characteristic cell types. In the families of flowering plants in which these organs occur, they are patterned with the sepals in the outermost whorl or whorls of the flower, with the petals next closest to the center, the stamens even closer to the center, and the carpels central. In each species of flowering plant the disposition and number (or range of numbers) of these organs is also specified, and the floral 'formula' is repeated in each of the flowers on each individual plant of the species. We do not know how cells in developing plants determine their position, and in response to this determination differentiate to the cell types appropriate for that position. While there have been a number of speculative proposals for the mechanism of organ specification in flowers (Goethe, 1790; Goebel, 1900; Heslop-Harrison, 1964; Green, 1988), recent genetic evidence is inconsistent with all of them, at least in the forms in which they were originally presented (Bowman et al. 1989; Meyerowitz et al. 1989). We describe here a preliminary model, based on experiments with Arabidopsis thaliana. The model is by and large consistent with existing evidence, and has predicted the results of a number of genetic and molecular experiments that have been recently performed