The Frequency of False Allegations of Child Sexual Abuse: A Critical Review

The rate of false allegations has been a topic of research spanning back to as early as the 1970s. Studies have often relied on data gathered by Child Protective Services workers and court administrators. Some researchers have also used hypothetical scenarios to estimate rates. However, given the plethora of sampling methods, there is a large variation in estimated rates of false allegations of sexual abuse depending on the data source and context of the allegation. Additionally, methodological problems such as unclear or invalid criteria used to judge truth or falsity of an allegation, unrepresentative samples, and ignoring important contextual variables such as the stage at which an allegation is made, currently all render the determination of actual rates of false child sexual abuse allegations to be unknown. This examination of literature is intended to gain a firmer understanding of the frequency at which allegations are false and during which stage of prosecution they occur, thus assisting with the legal practice of distinguishing between a false versus positive allegation. Research reviewed supports two general conclusions: (a) the vast majority of allegations are true but (b) false allegations do occur at some non-negligible rate. Suggestions for future research, as well as cautions about claims about specific rates of false allegations in the courtroom, are provided.     

Ladies First? Not So Fast: Linguistic Sexism in Peer-Reviewed Research

The words we use reflect and influence our interpretation of the world. The role of gender within a language varies; biases based on social gender are referred to as linguistic sexism. Male firstness is the practice of persistently ordering masculine terms before feminine terms. Because academic writing is mandated to be free of bias, peer-reviewed research should not contain any form of linguistic sexism. To assess the presence of male firstness in academic writing, we examined 862 contemporary articles from 10 social science journals across three disciplines: sexuality, health, and psychology. To assess male firstness, we tallied common gendered pairs (e.g., “women and men”; “male and female”) and calculated percentages indicating how often men were presented before women. We found that male firstness bias was present in each of the 10 journals. For individual journals, the percentage of gendered phrases that presented masculine terms first ranged from 57.7% to 88.8%. Sexuality and health journals demonstrated less linguistic sexism than psychology; however, there were no consistent trends between journals within each discipline. We discuss the current presence of male firstness in academic journals and the issues this bias triggers. Recommendations for reducing linguistic sexism in peer-reviewed research are also discussed.     

Estimating the Relative Density of Snapper in and around a Marine Reserve Using a Log-Linear Mixed-Effects Model

Angling from small recreational fishing boats was used as a sampling method to quantify the relative density of snapper ( Pagrus auratus ) in six areas within the Cape Rodney-Okakari Point Marine Reserve (New Zealand) and four areas adjacent to the reserve. Penalized quasi-likelihood was used to fit a log-linear mixed-effects model having area and date as fixed effects and boat as a random effect. Simulation and first-order bias correction formulae were employed to assess the validity of the estimates of the area effects. The bias correction is known to be unsuitable for general use because it typically over-estimatesbias, and this was observed here. However, it was qualitatively useful for indicating the direction of bias and for indicating when estimators were approximately unbiased. The parameter of primary interest was the ratio of snapper density in the marine reserve versus snapper density outside the reserve, and the estimator of this parameter was first-order asymptotically unbiased. This ratio of snapper densities was estimated to be 11 (±3).     

To the Dark Side and Back: The Administrative Odyssey of an Academic Sociologist with Lessons Learned

My first semester as a tenure-track faculty member at a mid-size university began ignominiously and suggested that my academic career might be short-lived. It began with a blistering memo that was stridently critical of the academic dean’s policy which led to being taken to the proverbial woodshed. Other less serious episodes followed which put me at odds with the “administration.” Yet I have spent more than a third of my career in administrative positions, including a stint in the provost’s office (as an assistant vice chancellor), and only recently returned to faculty status. Over the course of my academic career I have noticed that a large number of academic sociologists have taken administrative positions in academia beyond that of the department chair. This paper will explore this phenomenon and discuss the reasons members of the ‘debunking’ discipline assume administrative roles. I will address this issue within the context of my personal odyssey in administration and how the sociological perspective and imagination has contributed to working in the ‘dark side’ of academia. Finally, I will discuss lessons learned and recommendations for the aspirant administrators among the ranks of academic sociologists.     

FIXED SUM LOSSES IN OPERATIONAL FORECASTING

In operational applications, forecasts are normally adjusted by applying safety factors to allow for asymmetry in the underlying loss function. This paper considers an extension of the often used linear loss function to situations in which an error can also result in a fixed sum loss.     

Tuning parameter selection for a penalized estimator of species richness

Our goal is to estimate the true number of classes in a population, called the species richness. We consider the case where multiple frequency count tables have been collected from a homogeneous population and investigate a penalized maximum likelihood estimator under a negative binomial model. Because high probabilities of unobserved classes increase the variance of species richness estimates, our method penalizes the probability of a class being unobserved. Tuning the penalization parameter is challenging because the true species richness is never known, and so we propose and validate four novel methods for tuning the penalization parameter. We illustrate and contrast the performance of the proposed methods by estimating the strain-level microbial diversity of Lake Champlain over three consecutive years, and global human host-associated species-level microbial richness.     

IMPOSED STRUCTURES AND CONTESTED MEANINGS: POLICIES AND POLITICS OF PUBLIC PARTICIPATION

This article explores the concept of structured community participation in health, which refers to groups that are established by health decision-makers to provide a ‘community’ viewpoint of health issues and services. The imposed nature of this form of participation is, however, potentially problematic in that it may not ensure that the community's views arc heard. Rather, structured community participation may entrench dominant interests. Drawing on the experiences of District Health Forums in Tasmania, this article explores issues surrounding this form of participation and argues that the political context of participation must be fully understood if it is to be effective. A recognition of the differences between bureaucratic and community needs and interests is essential to the success of structured community participation.