Interspecies Extrapolation: A Reexamination of Acute Toxicity Data

We reanalyze the acute toxicity data on cancer chemotherapeutic agents compiled by Freireich et al.(1) and Schein et al.(2) to derive coefficients of the allometric equation for scaling toxic doses across species (toxic dose = a.[body weight]b). In doing so, we extend the analysis of Travis and White (Risk Analysis, 1988, 8, 119-125) by addressing uncertainties inherent in the analysis and by including the hamster data, previously not used. Through Monte Carlo sampling, we specifically account for measurement errors when deriving confidence intervals and testing hypotheses. Two hypotheses are considered: first, that the allometric scaling power (b) varies for chemicals of the type studied; second, that the same scaling power, or "scaling law," holds for all chemicals in the data set. Following the first hypothesis, in 95% of the cases the allometric power of body weight falls in the range from 0.42-0.97, with a population mean of 0.74. Assuming the second hypothesis to be true-that the same scaling law is followed for all chemicals-the maximum likelihood estimate of the scaling power is 0.74; confidence bounds on the mean depend on the size of measurement error assumed. Under a "best case" analysis, 95% confidence bounds on the mean are 0.71 and 0.77, similar to the results reported by Travis and White. For alternative assumptions regarding measurement error, the confidence intervals are larger and include 0.67, but not 1.00. Although a scaling power of about 0.75 provides the best fit to the data as a whole, a scaling power of 0.67, corresponding to scaling per unit surface area, is not rejected when the nonhomogeneity of variances is taken into account. Hence, both surface area and 0.75 power scaling are consistent with the Freireich et al. and Schein et al. data sets. To illustrate the potential impact of overestimating the scaling power, we compare reported human MTDs to values extrapolated from mouse LD10s.     

Risky behaviour: a new framework for understanding why young people take risks

Theories of youth risk taking range from the realist to the sociocultural. Much of this theorising, particularly in the field of epidemiology, has been strongly influenced by the Health Belief Framework. More recently, attention has shifted to understanding how young people perceive risk and what makes some of them resilient to risk taking. In this article we develop a framework that brings together diverse theoretical perspectives on youth risk taking. We draw on lessons from across the social science disciplines to inform a conceptual framework incorporating the broad context and internal processes of young people's decisions to take risks. Our Youth Risk Interpretation Framework (Y-RIF) has been developed from insights gained during an ethnographic study conducted in South Africa (Graham, Lauren, 2012. Understanding risk in the everyday identity-work of young people on the East Rand of Johannesburg. Doctoral Thesis. University of Johannesburg, Johannesburg.). We argue that our framework is useful, as it offers new ways of understanding why some young people take risks while others are more cautious. It could be used to inform youth behaviour surveillance research and interventions. However, it will need to be rigorously tested.     

Perspectives of LGBTQ emerging adults on the depiction and impact of LGBTQ media representation

Lesbian, gay, bisexual, transgender, and queer (LGBTQ) young people have been increasingly represented in traditional (offline) media over the past two decades. However, research had not adequately focused on the content of contemporary representations, how such depictions impact LGBTQ young people, or how young people’s experiences are affected by the present context characterized by the rapidly increasing prevalence of new (online) media. Utilizing grounded theory with a sample (n?=?19) of emerging adults (age 18–22), this study investigates: (1) messages about sexual orientation and/or gender identity LGBTQ emerging adults receive from LGBTQ representations in traditional media; (2) potential differences in the experiences of LGBTQ emerging adults with traditional media compared to new media; and (3) how consumption of these media messages impact LGBTQ emerging adults. Results indicate that while traditional media (particularly television) creates a common dialogue and validates identity, it continues to represent LGBTQ people as one-dimensional and stereotypical, ignores many LGBTQ sub-groups, limits LGBTQ young people’s perceptions of their future trajectories, and offers no opportunities for critique. In contrast, emerging new media offers new, important, and valued spaces for discussion and creativity.     

An Annotated Bibliography of Verbal Behavior Articles Published Outside of The Analysis of Verbal Behavior: 2015

An annotated bibliography is provided that summarizes journal articles on verbal behavior published outside of The Analysis of Verbal Behavior in 2015, the primary journal for scholarship in this area. Thirty such articles were identified and annotated as a resource for practitioners, researchers, and educators.

     

Sexualized labour in digital culture: Instagram influencers,porn chic and the monetization of attention

The rise of digital technologies and social media platforms has been linked to changing forms of work, as well as the mainstreaming of pornography and a ‘porn chic' aesthetic. This article examines some of the ways in which these themes coalesce, and interrogates the conceptual boundaries of sexualized labour, extending beyond traditional organizational settings and into Web 2.0. The study explores performances of sexualized labour on social media by analysing visual and textual content from 172 female influencers on Instagram. This article contributes to the literature on sexualized labour in three ways. First, by demonstrating how sexualized labour is enacted across various forms of influencer labour, and how this relates to the attention economy and monetization. Second, by developing the extant conceptualization of sexualized labour and introducing connective labour as a required element to mobilize sexualized labour. Third, by opening up a critical analysis of what is meant by ‘sexualized' labour within a cultural context of pornographication.