Proximity (Mis)perception: Public Awareness of Nuclear,Refinery, and Fracking Sites

Whether on grounds of perceived safety, aesthetics, or overall quality of life, residents may wish to be aware of nearby energy sites such as nuclear reactors, refineries, and fracking wells. Yet people are not always accurate in their impressions of proximity. Indeed, our data show that only 54% of Americans living within 25 miles of a nuclear site say they do, and even fewer fracking-proximal (30%) and refinery-proximal (24%) residents respond accurately. In this article, we analyze factors that could either help people form more accurate perceptions or distort their impressions of proximity. We evaluate these hypotheses using a large national survey sample and corresponding geographic information system (GIS) data. Results show that among those living in close proximity to energy sites, those who perceive greater risk are less likely to report living nearby. Conversely, social contact with employees of these industries increases perceived proximity regardless of actual distance. These relationships are consistent across each site type we examine. Other potential factors—such as local news use—may play a role in proximity perception on a case-by-case basis. Our findings are an important step toward a more generalizable understanding of how the public forms perceptions of proximity to risk sites, showing multiple potential mechanisms of bias.     

Longitudinal transactional relations among young children’s defiance and committed compliance and maternal assertive control

The main goal of this study was to more closely understand the direction of relations between maternal behavior and young children's defiance and committed compliance. We examined 256 mother–child dyads to explore developmental transactional relations between maternal assertive control, children's committed compliance, and children's defiance at 18 (T1), 30 (T2), and 42 (T3) months of age. After controlling for maternal gentle control, SES, and child sex, results showed parent effects for children's committed compliance, such that T1 maternal assertive control negatively predicted T3 committed compliance. Furthermore, toddlers’ behavior predicted T3 parenting; that is, toddlers’ T1 defiance positively predicted T3 maternal assertive control. Results of the present study indicate relatively long-term prediction (to 42 months) from both parent and child behaviors at 18 months of age, and the findings have implications for understanding the bidirectional and complex processes that account for young children's adaptive and maladaptive behaviors.     

Recommended Distributions for Exposure Factors Frequently Used in Health Risk Assessment

Although there has been nearly complete agreement in the scientific community that Monte Carlo techniques represent a significant improvement in the exposure assessment process, virtually all state and federal risk assessments still rely on the traditional point estimate approach. One of the rate-determining steps to a timely implementation of Monte Carlo techniques to regulatory decision making is the development of "standard" data distributions that are considered applicable to any setting. For many exposure variables, there is no need to wait any longer to adopt Monte Carlo techniques into regulatory policy since there is a wealth of data from which a robust distribution can be developed and ample evidence to indicate that the variable is not significantly influenced by site-specific conditions. In this paper, we propose several distributions that can be considered standard and customary for most settings. Age-specific distributions for soil ingestion rates, inhalation rates, body weights, skin surface area, tapwater and fish consumption, residential occupancy and occupational tenure, and soil-on-skin adherence were developed. For each distribution offered in this paper, we discuss the adequacy of the database, derivation of the distribution, and applicability of the distribution to various settings and conditions.     

Self-regulatory responses to professional misconduct within the legal profession

Dans cette communication, l'auteur s'appuie sur des documents des archives d'une association provinciale du Barreau canadien pour étudier les facteurs qui conditionnent les décisions de poursuivre ou de sanctionner les avocats pour faute professionnelle. Selon le modèle présenté, il existe des similitudes entre la façon dont les décisions sont prises par les cours criminelles et par les instances d'autoréglementation de la profession juridique. Plus précisément, l'auteur avance l'hypothèse selon laquelle la position occupée à l'intérieur de la profession, le degré d'inexpérience et l'état de l'économie influeront sur la décision de poursuivre et de discipliner un avocat. Le modèle tient compte d'autres facteurs, tels la nature de l'infraction au code de déontologie, l'existence plaintes pour faute professionnelle antérieures et le sexe de la personne. Les données étudiées tendent à confirmer les hypothèses émises et font ressortir certaines tendances communes entre le système public et le système professionel en matière de poursuites et de sanctions. Using archival data from a Canadian provincial bar association we examine contingencies that structure decisions to prosecute and sanction lawyers for professional misconduct. A model is explored which asserts similarities between criminal justice and professional self-regulatory patterns of decision-making. More specifically, we hypothesize that intra-professional position, inexperience and the economic recession will influence disciplinary decisions to prosecute and sanction lawyers. Offence characteristics, complaint histories and gender are also included in the models. Our findings offer some support for our hypotheses and for the assertion of similarities between professional and public systems of prosecution and sanctioning.     

The impact of childhood on disabled professionals

The impact of childhood on success in adulthood has been much researched. This paper discusses how parental expectations, social class, childhood experiences and gender influenced the career success of disabled people. For respondents with congenital disabilities, disability was perceived as a primary factor influencing parental expectations, but those with acquired disabilities felt it was gender. Social class played a significant part in all respondents' childhood socialisation and parental expectations. Some experienced deprivation and trauma as children, encouraging them to master future life events. The findings highlight the importance of childhood socialisation to the career success of disabled people.     

Moving beyond the child care debate toward implications for social and political agendas

Early nonmaternal child care, for at least some portion of the week, is now the reality for most families in the United States. Ongoing debates surrounding what these changes mean for our society have focused on the possible negative consequences of extended nonmaternal care and the potential impact of such arrangements on children's later development. The NICHD-Early Child Care Research Network (ECCRN) Study of Early Child Care and Youth Development has made great strides toward addressing methodological limitations in previous research through a series of landmark examinations of child functioning from transition to school through 15 years-of-age. The primary goal of this commentary is to put the child care findings into a broader developmental, social, and political context by reframing the discussion to move beyond the current daycare debate and consider implications for social policy and research agendas. Given that daycare has become a normative social institution, we first consider what the research findings mean for the healthy social–emotional and cognitive growth of children. Second, we articulate the implications of the data for social interventions to improve those outcomes. Finally, we address the issue of what political changes are necessary to produce those improvements.     

Forecasting the Penetration of a New Product—A Bayesian Approach

We adopt a Bayesian approach to forecast the penetration of a new product into a market. We incorporate prior information from an existing product and/or management judgments into the data analysis. The penetration curve is assumed to be a nondecreasing function of time and may be under shape constraints. Markov-chain Monte Carlo methods are proposed and used to compute the Bayesian forecasts. An example on forecasting the penetration of color television using the information from black-and-white television is provided. The models considered can also be used to address the general bioassay and reliability stress-testing problems.