What is DIstinctive about Mediation? Experience and Expertise in Media

If great material resources and specialist technical knowledge are no longer required for individuals to act as mass communicators, what resources are required? This paper reviews social theories of production that can help to shed light on the matter. It explores the nature of knowledge required in the production of content meant for a mass audience, and the manner of its validation. The paper progressively conceptualizes mass communication or mediation in terms of ‘media experience and expertise.’ It begins by framing the discussion of media production in terms of mediation and symbolic/media power, and teasing out knowledge and competence as problems that merit special attention. It then draws on two parallel areas of scholarship to think through the blurring of formerly neat boundaries between interpersonal and mass communication; producer and audience; and expert and layperson. First, the renewed interest in the lived experience of professional producers that is spurred by media production ethnographers. Second, ongoing debates in Science and Technology Studies (STS) around knowledge production and public participation. The paper concludes with a discussion of outstanding issues with respect to media theory and proposals for future work.     

Planning for the 1950 Censuses of Population and Agriculture

The change from the z of “Student's” 1908 paper to the t of present day statistical theory and practice is traced and documented. It is shown that the change was brought about by the extension of “Student's” approach, by R.A. Fisher, to a broader class of problems, in response to a direct appeal from “Student” for a solution to one of these problems.     

The Impact of Neighboring on Changes in Sense of Community Over Time: A Latent Transition Analysis

Sense of community (SOC) is associated with the quality of community life and the building of social capital. While its linkage to informal social behavior, such as neighboring, is inherent in discussions regarding theory, empirical evidence remains scarce. Moreover, the degree to which neighboring behavior influences SOC over time is largely unknown. Using a latent transition analysis, the effect of neighboring on SOC was investigated over a 5-year span from 2006 to 2011 among a sample of adults (n?=?165) in Arizona. Initially, a latent class analysis identified two SOC subgroups: Low SOC and High SOC. The likelihood of shifts in SOC class membership over 5 years was generally stable, with most individuals staying in the same group (82.3% Low SOC; 92.4% High SOC). Neighboring behavior and socio-demographic covariates impacted the likelihood that individuals changed classes, with 25.3% of Low SOC individuals transitioning to High SOC in 2011 and 55.4% of High SOC individuals moving to Low SOC in 2011. Specifically, having an income greater than $60,000 and visiting with neighbors lessened the likelihood of being in the Low SOC class in 2006; and length of residence and exchanging favors with neighbors lessened the likelihood of being in the Low SOC class in 2011. These findings have implications for both community design and community development practice. Design and development interventions that promote greater social interaction may help build and sustain SOC over time.

     

Sequential change detection in the presence of unknown parameters

It is commonly required to detect change points in sequences of random variables. In the most difficult setting of this problem, change detection must be performed sequentially with new observations being constantly received over time. Further, the parameters of both the pre- and post- change distributions may be unknown. In Hawkins and Zamba (Technometrics 47(2):164–173, 2005), the sequential generalised likelihood ratio test was introduced for detecting changes in this context, under the assumption that the observations follow a Gaussian distribution. However, we show that the asymptotic approximation used in their test statistic leads to it being conservative even when a large numbers of observations is available. We propose an improved procedure which is more efficient, in the sense of detecting changes faster, in all situations. We also show that similar issues arise in other parametric change detection contexts, which we illustrate by introducing a novel monitoring procedure for sequences of Exponentially distributed random variable, which is an important topic in time-to-failure modelling.     

We care about care: advice by children in care for children in care,foster parents and child welfare workers about the transition into foster care

Twenty children in foster care, ages 8 to 15 years, provided advice to children in care, foster parents and child welfare workers about ways to assist service delivery during the transition into foster care. The children discussed the importance of tending to experiences such as foster home expectations, the importance of time and information, the new foster/parent–child relationship, coping with stress, the ability to be engaged in decision‐making, the benefits of foster care and the need to build a trusting and personal relationship between children in care and their caregivers. The importance of listening to children's experiences of the transition into foster care and incorporating their advice into future research, policy and practice will be discussed.     

Nonparametric estimation of the multivariate survivor function: the multivariate Kaplan–Meier estimator

The Dabrowska (Ann Stat 16:1475–1489, 1988) product integral representation of the multivariate survivor function is extended, leading to a nonparametric survivor function estimator for an arbitrary number of failure time variates that has a simple recursive formula for its calculation. Empirical process methods are used to sketch proofs for this estimator’s strong consistency and weak convergence properties. Summary measures of pairwise and higher-order dependencies are also defined and nonparametrically estimated. Simulation evaluation is given for the special case of three failure time variates.     

Magazine Coverage of Child Sexual Abuse, 1992–2004

This article analyzes trends in the coverage of child sexual abuse in popular magazines since the early 1990s. The article employs systematic analysis to identify and analyze articles in four popular magazines. Articles are analyzed by subject, length, and publication. The results affirm established theories of newsworthiness related to the coverage of specific stories over time. However, interest in the subject waned in the past 10 years, with the brief and dramatic exception of coverage connected to the Catholic Church in 2002. The findings demonstrate systematic differences between the slants of the four magazines studied. The findings also suggest that child abuse professionals could improve the quality of coverage by agreeing to interviews in connection with articles about childhood sexual abuse.