Developing Family Therapy Skills on a Shoe String Budget: A Peer Supervision and Training Approach

Family therapy skills are an essential tool when working with young children and their families, yet accessing family therapy training and supervision in workplace settings has become more difficult. Skills enhancement may be obtained through formal training in accredited courses, a costly undertaking, in which clinicians most often carry the entire cost for the training. In this paper, we propose that specific family therapy skills relevant to working with families of young children can be developed within a peer group format. The peer training described in this paper is extremely cost effective, easy to set up, specifically tailored to our unique training needs and the characteristics of the population of families we are working with. Further, the training allows us to develop fresh and creative ways of skills acquisition, our own ‘curriculum’, with flexible use of training techniques, depending on our particular needs at a given time. We conclude with some of the disadvantages of the model and propose ideas for future development.     

GIS technology and survey sampling methods: The Khayelitsha/Mitchell's plain 2000 survey

This paper explores the entwining of city and song with a focus on the genre of isicathamiya in the city of Pietermaritzburg. It argues that the making of song involves the shaping of new subjectivities and it looks in particular at the role of isicathamiya performance in the making and re‐making of a particular urban space. It argues that the life and history of a city or town holds within it the songs and singers that shape it culturally and thus write themselves into the memory and being of the place. The paper searches for a new cultural topography of place that embraces this view. It situates a study of two isicathamiya groups, the Washing Boys and Naughty Boys, within a study of the life of the changing and suffering city and argues that the resilience of the genre and of its singers gives it a unique place as an interpretive voice in the New Era of post‐1994 and in the Pietermaritzburg of the present.     

The re-accomplishment of place in twentieth century Vermont and New Hampshire: history repeats itself,until it doesn’t

Much recent literature plumbs the question of the origins and trajectories of “place,” or the cultural development of space-specific repertoires of action and meaning. This article examines divergence in two “places” that were once quite similar but are now quite far apart, culturally and politically speaking. Vermont, once considered the “most Republican” state in the United States, is now generally considered one of its most politically and culturally liberal. New Hampshire, by contrast, has remained politically and socially quite conservative. Contrasting legacies of tourist promotion, political mobilization, and public policy help explain the divergence between states. We hypothesize that emerging stereotypes about a “place” serve to draw sympathetic residents and visitors to that place, thus reinforcing the salience of those stereotypes and contributing to their reality over time. We term this latter process idio-cultural migration and argue its centrality to ongoing debates about the accomplishment of place. We also elaborate on several means by which such place “reputations” are created, transmitted, and maintained.     

Is the Gene-Environment Interaction Paradigm Relevant to Genome-Wide Studies? The Case of Education and Body Mass Index

This study uses data from the Framingham Heart Study to examine the relevance of the gene-environment interaction paradigm for genome-wide association studies (GWAS). We use completed college education as our environmental measure and estimate the interactive effect of genotype and education on body mass index (BMI) using 260,402 single-nucleotide polymorphisms (SNPs). Our results highlight the sensitivity of parameter estimates obtained from GWAS models and the difficulty of framing genome-wide results using the existing gene-environment interaction typology. We argue that SNP-environment interactions across the human genome are not likely to provide consistent evidence regarding genetic influences on health that differ by environment. Nevertheless, genome-wide data contain rich information about individual respondents, and we demonstrate the utility of this type of data. We highlight the fact that GWAS is just one use of genome-wide data, and we encourage demographers to develop methods that incorporate this vast amount of information from respondents into their analyses.     

COVID‐19 as a Transformative Opportunity for Families and Therapists: Harnessing the Possibilities That Constraints Offer Us

This article demonstrates several ways in which the constraints that the COVID‐19 pandemic has posed for families can provide transformative opportunities to strengthen family relationships, become more resilient, and resolve conflicts and longstanding difficulties. Since most families worldwide have been greatly impacted on many fronts by the pandemic, they are looking to us for hope, guidance, and solutions for coping with high levels of anxiety about living in a world where life as we knew it has been turned on its head and we are struggling to cope with uncertainty about what the future will bring. However, in spite of all the limitations and health consequences COVID‐19 has posed for our client families, the majority have been quite resourceful and creative in coming up with their own novel self‐generated coping, problem‐solving, and health‐enhancing strategies well before we see them for the first time. Finally, the article discusses how the constraints of COVID‐19 afford family therapists with many opportunities to further hone their therapeutic alliance‐building skills, gain an intimate insider’s view of their clients’ daily lives that are not accessible in our offices, and co‐design with them therapeutic experiments that can produce high‐quality solutions.     

Efficient Bayesian estimation of the multivariate Double Chain Markov Model

The Double Chain Markov Model (DCMM) is used to model an observable process $Y = \{Y_{t}\}_{t=1}^{T}$ as a Markov chain with transition matrix, $P_{x_{t}}$ , dependent on the value of an unobservable (hidden) Markov chain $\{X_{t}\}_{t=1}^{T}$ . We present and justify an efficient algorithm for sampling from the posterior distribution associated with the DCMM, when the observable process Y consists of independent vectors of (possibly) different lengths. Convergence of the Gibbs sampler, used to simulate the posterior density, is improved by adding a random permutation step. Simulation studies are included to illustrate the method. The problem that motivated our model is presented at the end. It is an application to real data, consisting of the credit rating dynamics of a portfolio of financial companies where the (unobserved) hidden process is the state of the broader economy.     

Work Accident Insurance and Prevention in Southern Africa: The Case of Zimbabwe

The paper uses Zimbabwe as a case study to depict the situation in southern Africa with respect to work accident insurance and prevention, provided by workers' compensation schemes which are among the earliest forms of social security to be introduced in the region. There has been an unfortunate tendency to concentrate on compensation issues at the expense of prevention initiatives. Zimbabwe, however, has attempted to integrate the two, notwithstanding the fact that the coverage of the scheme is narrow and the benefits inadequate.