Negotiation of Sexual Identity in Gay On-Air Talent on West Texas Radio and Television Media

ABSTRACT

This analytic autoethnography explores identity negotiation in on-air media personalities in West Texas by augmenting the author’s personal experience with the lived experiences of five other gay radio/television on-air personalities. Employing the communication of identity theory, results indicate conflicts between the personal and communal frames, the relational and communal frames, and the enactment frame with all other frames. Strategies used to help navigate these conflicts include employment of hegemonic masculinity norms, self-monitoring, and assimilation.     

Radio Frequency Identification: A Panacea for Governments?

Radio frequency identification (RFID) has been used to improve business supply chain management for over 35 years. As often happens, private sector technology migrates to the public sector where it is adapted for use. RFID use in governments is spreading far and wide at the federal and state levels with virtually no debate or performance analyses to inform adoption decisions. Implementation of RFID technology impacts government efficiency and effectiveness in many areas. Data show that most RFID applications promise enhanced effectiveness but also pose increased costs. A model is constructed to assist state and local managers in choosing to adopt RFID and to discern the status and impacts of this bold new innovation.

Sample size determination for testing equality in frequency data under an incomplete block crossover design

When there are more than two treatments under comparison, we may consider the use of the incomplete block crossover design (IBCD) to save the number of patients needed for a parallel groups design and reduce the duration of a crossover trial. We develop an asymptotic procedure for simultaneously testing equality of two treatments versus a control treatment (or placebo) in frequency data under the IBCD with two periods. We derive a sample size calculation procedure for the desired power of detecting the given treatment effects at a nominal-level and suggest a simple ad hoc adjustment procedure to improve the accuracy of the sample size determination when the resulting minimum required number of patients is not large. We employ Monte Carlo simulation to evaluate the finite-sample performance of the proposed test, the accuracy of the sample size calculation procedure, and that with the simple ad hoc adjustment suggested here. We use the data taken as a part of a crossover trial comparing the number of exacerbations between using salbutamol or salmeterol and a placebo in asthma patients to illustrate the sample size calculation procedure.     

Parametric Inference in Stationary Time Series Models with Dependent Errors

This article is concerned with inference for the parameter vector in stationary time series models based on the frequency domain maximum likelihood estimator. The traditional method consistently estimates the asymptotic covariance matrix of the parameter estimator and usually assumes the independence of the innovation process. For dependent innovations, the asymptotic covariance matrix of the estimator depends on the fourth‐order cumulants of the unobserved innovation process, a consistent estimation of which is a difficult task. In this article, we propose a novel self‐normalization‐based approach to constructing a confidence region for the parameter vector in such models. The proposed procedure involves no smoothing parameter, and is widely applicable to a large class of long/short memory time series models with weakly dependent innovations. In simulation studies, we demonstrate favourable finite sample performance of our method in comparison with the traditional method and a residual block bootstrap approach.     

Urban African American Pre-Adolescent Social Problem Solving Skills

Summary

The results of two studies focusing on the social problem solving skills of African American preadolescent youth are detailed. In the first study data from a sample of 150 African American children, ages 9 to 11 years, was used to examine the association between type of youth social problem solving approaches applied to hypothetical risk situations and time spent in unsupervised peer situations of sexual possibility. Findings revealed that children with more exposure to sexual possibility situations generated a wider range of social problem solving strategies, but these approaches tended to be unrealistic and ambiguous. Further, there was a positive association between the amount of time spent unsupervised and youth difficulty formulating a definitive response to hypothetical peer pressure situations. Children with less exposure to sexual possibility situations tended to be more aggressive when approaching situations of peer pressure. In the second study, data from a non-overlapping sample of 164 urban, African American adult caregivers and their 9 to 11 year old children was examined in order to explore the associations between child gender, family-level factors including family communication frequency and intensity, time spent in situations of sexual possibility, and youth social problem solving approaches. Results revealed that children were frequently using constructive problem solving and help seeking behaviors when confronted by difficult social situations and that there was a significant relationship between the frequency and intensity of parent child communication and youth help seeking social problem solving approaches. Implications for research and family-based interventions are highlighted.     

Feminism and women's film criticism in post-war Britain, 1945–1959

Feminist film criticism is widely thought to have started in the late 1960s and early 1970s when the “Images of Woman” debate associated with critics such as Marjorie Rosen provided the foundation for later developments in feminist film theory. Antonia Lant has recently claimed the immediate post-1950 period to be a barren time for female-authored publications on film and cinema. This article argues that, contrary to received wisdom, the post-war period (1945–1959) in Britain was a time when women's film criticism flourished, with writers such as Dilys Powell, C.A. Lejeune, Catherine de la Roche and E. Arnot Robertson enjoying high-profile careers. Moving beyond a simple recovery of women's “hidden histories,” this article highlights the points of connection between the post-war period and later film criticism informed by second wave feminism. Through a case study of de la Roche and Robertson this article explores how women critics in this period were similarly preoccupied with screen representations of women and women's roles within the film industry, anticipating the later concerns of Rosen and others. I argue that a cross-media focus is a productive method for generating insights into women's critical agency at this time, and conclude that women's film criticism demonstrates something of the wider shifts taking place in gender relations in British society.     

基于改进型技术接受模型的物联网服务采纳实证研究

物联网技术的应用已经大量出现在我们的日常生活和企业经济活动中,但仍然局限在相对独立的范围内,网络互连互通和信息共享依然未能实现。本文从行为科学的视角,按照技术接受模型的研究方法,通过问卷调查和结构方程统计分析,对物联网服务采纳进行了实证研究。结果表明:物联网发展的瓶颈依然是核心技术和网络互连标准问题,给消费者提供有用易用的产品和服务是推进其应用的关键,而消费者对物联网环境下的隐私保护和信息安全现已有所关注。     

高频数据驱动的连续时间模型估计

现代金融经济学中连续时间模型能够更方便地描述重要经济变量的动态过程如股价、汇率和利率等。为连续时间模型提出了一种高频数据驱动的二阶段估计方法,增强了连续时间扩展模型的弹性和可操作性。以Vasicek模型为例给出了该方法的应用实例,首先在第一阶段使用实现波动率方法估计出模型的扩散项参数,然后使用实际数据的稳态分布的前向方程估计漂移项参数。此方法对模型初始设定和优化算法依赖程度低,结果较为稳定可靠。     

Correcting the Errors: Volatility Forecast Evaluation Using High‐Frequency Data and Realized Volatilities

We develop general model‐free adjustment procedures for the calculation of unbiased volatility loss functions based on practically feasible realized volatility benchmarks. The procedures, which exploit recent nonparametric asymptotic distributional results, are both easy‐to‐implement and highly accurate in empirically realistic situations. We also illustrate that properly accounting for the measurement errors in the volatility forecast evaluations reported in the existing literature can result in markedly higher estimates for the true degree of return volatility predictability.     

Why Frequency is Not Well Defined for Engineering Systems with Nonexponential Failure Times

Dr. Yellman proposes to define frequency as “a time‐rate of events of a specified type over a particular time interval.” We review why no definition of frequency, including this one, can satisfy both of two conditions: (1) the definition should agree with the ordinary meaning of frequency, such as that less frequent events are less likely to occur than more frequent events, over any particular time interval for which the frequencies of both are defined; and (2) the definition should be applicable not only to exponentially distributed times between (or until) events, but also to some nonexponential (e.g., uniformly distributed) times. We make the simple point that no definition can satisfy (1) and (2) by showing that any definition that determines which of any two uniformly distributed times has the higher “frequency” (or that determines that they have the same “frequency,” if neither is higher) must assign a higher frequency number to the distribution with the lower probability of occurrence over some time intervals. Dr. Yellman's proposed phrase, “time‐rate of events … over a particular time interval” is profoundly ambiguous in such cases, as the instantaneous failure rates vary over an infinitely wide range (e.g., from one to infinity), making it unclear which value is denoted by the phrase “time‐rate of events.”