(In)visibility in lesbian and gay student organizing: the case of gay student services

Drawing on newspaper, movement correspondence, and interview data, I examine the (in)visibility of a lesbian and gay student group, Gay Student Services (GSS), in a hostile university campus in Texas from the mid-1970s through the 1980s. GSS formed to create a safe space for sexual minorities at Texas A&M University (TAMU) and asked university officials to recognize the group officially. TAMU's resistance to their request forced GSS to file a lawsuit to achieve recognition. Using interviews with past members and archival data, such as newspapers and movement correspondence, I examine how GSS utilized (in)visibility to navigate the hostile environment. By controlling their (in)visibility, GSS members protected the organization from scrutiny and protect members' safety.     

Assessing Statewide Need for Older Adult Health Promotion Services: The Oklahoma Experience

ABSTRACT

The growing senior population and persistent poor health status of seniors in Oklahoma compels a fresh look at what health promotion services would be well received. Surveys were distributed to a list of registered voters aged 65 and older in Oklahoma with a total of 1,248 surveys returned (19.8%). Survey items asked about interests in services, classes, and activities, plus current barriers to accessing and/or engaging in such programs. To account for survey weighting, Rao-Scott Chi-Square Tests were performed to determine differences by demographic characteristics. We identified services, classes, and activities that were (and were not) of interest to seniors in Oklahoma with legal assistance (52.1%), exercise classes (46.6%), internet classes (40.7%), and indoor exercise activities (45.5%) receiving the highest level of interest. Barriers to interest in participating in programs included not wanting to go and not knowing availability of such services. The results of this survey provide useful data on health promotion gaps for seniors, interests and barriers to engaging in such activities, and guidance for statewide program development. Future program development needs to be focused on areas of interest for older adults, including legal assistance, exercise classes, and internet classes.     

Senior Services that Support Housing First in Metro Vancouver

Housing First is a model and philosophy for housing homeless people in immediate and permanent housing. In order to implement and deliver Housing First, research is essential to understand the system of support services as they currently exist. Guided by principles of community-based participatory research, this paper presents the findings from a senior-focused deliberative dialogue workshop in Metro Vancouver, Canada. Participants (16 service providers and 1 service recipient) identified services and resources available to support seniors in maintaining housing and barriers and facilitators for accessing services. Broadly, data were organized into seven themes: (1) Housing; (2) Home support; (3) Transportation; (4) Information availability, accessibility, and navigation; (5) Cultural diversity; (6) Discrimination; and (7) Funding and financial support. Results found that affordable housing that adapts to changing health conditions, income supports, health services, homecare, transportation, and culturally appropriate and nondiscriminatory informational resources are among the supports most needed for persons as young as 50 years old to succeed under the Housing First model in Metro Vancouver. Barriers to Housing First service provision, including rigid eligibility criteria for chronically and episodically homeless, should be revised to better support the growing number of older adults who are newly entering homelessness in Metro Vancouver.     

Mothers’ Experience of Post-Traumatic Growth in Pediatric Kidney Transplantation

ABSTRACT

Parenting a child with chronic kidney disease has a profound impact on the parental caregivers across social, emotional, and physical functioning. As the survival rates for children with chronic kidney disease increase, the demands on parents caring for these children intensify. The aim of this study was to understand the lived experience of being a mother of a child who has undergone kidney transplantation. Seven mothers caring for children with chronic kidney disease in Ontario, Canada participated in in-depth interviews that were analyzed according to the principles of hermeneutic phenomenology. The present study presents the findings concerning post-traumatic growth: personal strength, new possibilities, enhanced relationships, appreciation of life and spiritual change. Recognizing positive aspects of stressful situations and the potential for growth can impact the practice of social workers and other health-care professionals. Ultimately the assistance that is provided to parent caregivers can be improved with a better understanding of the whole experience.     

Facilitating the Calculation of the Efficient Score Using Symbolic Computing

The score statistic continues to be a fundamental tool for statistical inference. In the analysis of data from high-throughput genomic assays, inference on the basis of the score usually enjoys greater stability, considerably higher computational efficiency, and lends itself more readily to the use of resampling methods than the asymptotically equivalent Wald or likelihood ratio tests. The score function often depends on a set of unknown nuisance parameters which have to be replaced by estimators, but can be improved by calculating the efficient score, which accounts for the variability induced by estimating these parameters. Manual derivation of the efficient score is tedious and error-prone, so we illustrate using computer algebra to facilitate this derivation. We demonstrate this process within the context of a standard example from genetic association analyses, though the techniques shown here could be applied to any derivation, and have a place in the toolbox of any modern statistician. We further show how the resulting symbolic expressions can be readily ported to compiled languages, to develop fast numerical algorithms for high-throughput genomic analysis. We conclude by considering extensions of this approach. The code featured in this report is available online as part of the supplementary material.     

Time-Varying Systemic Risk: Evidence From a Dynamic Copula Model of CDS Spreads

This article proposes a new class of copula-based dynamic models for high-dimensional conditional distributions, facilitating the estimation of a wide variety of measures of systemic risk. Our proposed models draw on successful ideas from the literature on modeling high-dimensional covariance matrices and on recent work on models for general time-varying distributions. Our use of copula-based models enables the estimation of the joint model in stages, greatly reducing the computational burden. We use the proposed new models to study a collection of daily credit default swap (CDS) spreads on 100 U.S. firms over the period 2006 to 2012. We find that while the probability of distress for individual firms has greatly reduced since the financial crisis of 2008–2009, the joint probability of distress (a measure of systemic risk) is substantially higher now than in the precrisis period. Supplementary materials for this article are available online.     

Efficient $$\hbox {SMC}^2$$ schemes for stochastic kinetic models

Fitting stochastic kinetic models represented by Markov jump processes within the Bayesian paradigm is complicated by the intractability of the observed-data likelihood. There has therefore been considerable attention given to the design of pseudo-marginal Markov chain Monte Carlo algorithms for such models. However, these methods are typically computationally intensive, often require careful tuning and must be restarted from scratch upon receipt of new observations. Sequential Monte Carlo (SMC) methods on the other hand aim to efficiently reuse posterior samples at each time point. Despite their appeal, applying SMC schemes in scenarios with both dynamic states and static parameters is made difficult by the problem of particle degeneracy. A principled approach for overcoming this problem is to move each parameter particle through a Metropolis-Hastings kernel that leaves the target invariant. This rejuvenation step is key to a recently proposed \(\hbox {SMC}^2\) algorithm, which can be seen as the pseudo-marginal analogue of an idealised scheme known as iterated batch importance sampling. Computing the parameter weights in \(\hbox {SMC}^2\) requires running a particle filter over dynamic states to unbiasedly estimate the intractable observed-data likelihood up to the current time point. In this paper, we propose to use an auxiliary particle filter inside the \(\hbox {SMC}^2\) scheme. Our method uses two recently proposed constructs for sampling conditioned jump processes, and we find that the resulting inference schemes typically require fewer state particles than when using a simple bootstrap filter. Using two applications, we compare the performance of the proposed approach with various competing methods, including two global MCMC schemes.     

Critical context and international intrafirm best-practice transfers

The sharing and transfer of knowledge and best practices across the organization have long been recognized as a critical driver of a firm's capabilities and performance. In fact, Gupta and Govindarajan (1991) maintained that MNCs exist primarily because of their superior ability to transfer knowledge internally relative to the ability of markets. This paper examines factors that influence the success of intrafirm, cross-border knowledge transfers. We investigate the critical context similarity between best-practice source and recipient units and the impact of critical context similarity on transfer eventfulness. We argue that best practices are embedded within a set of 5 central contextual elements, which are critical to the firm's ability to utilize them. A model is developed and tested that explains the impact of context in enabling or inhibiting best-practice transfers. Our findings suggest that critical context dissimilarity inhibits best-practice transfers. The impact of congruence among the source and recipient units along the dimensions of culture, strategy, decision-making, environment and technology affects the eventfulness of the transfer in terms of time, budget and satisfaction. Additionally, the effect of the fit between the practice characteristics, and the transfer mechanisms employed, is examined.     

National Styles of Science and Technology: A Comparative Model*

This essay articulates a comparative approach to the sociology of science. It suggests that even historically there have been numerous scholars interested in the national components of scientific knowledge. I develop a model which allows me to compare the differences in scientific growth in Sweden and Denmark. My model consists of three interrelated levels: metaphysical bias, national scientific interests, institutional structures. The comparison between the two countries shows them to be markedly different on all three levels. Finally, I suggest how the model can be applied to contemporary material.