Mentorship experiences during registrar training: reflections of Black African specialists in the Western Cape

In order to meet the significant staffing challenges to health care provision in South Africa, the need to support the training and retention of Black medical specialists has been identified. This small qualitative study aimed to explore experiences of mentorship among a group of Black medical specialists in hopes of understanding the value and potential challenges that these relationships raise. Ten Black medical specialists were interviewed about their experiences of being mentored during their registrar training. The interview data was analysed using discourse analysis, and the results comprise of three main themes, namely: Difficulty accessing mentorship, a lack of Black and/or female role models and finally, experiences of feeling excluded from soft networks. The experiences explored in this study indicate the need for open dialogue within the mentorship dyad regarding certain taken-for-granted assumptions surrounding race, so as to aid the provision of more effective and satisfying mentorship outcomes.     

The peripheral position of sex in a psychotherapy: An illustrative case of a mirror transference

Understanding the role of sexualization in a depressed patient gives us the opportunity to re-examine the place of sexual activity in psychopathology. The self psychological concept of the mirror transference is used to explain the therapist's activity in the case illustration.     

Will Swedish and Dutch drug policy converge? The role of theory

Sweden and The Netherlands are often referred to as the archetypes of prohibition and harm reduction, respectively. Both nations have, however, recently adopted political measures that fit well in the other country's model. But they have also taken steps that reflect traditional thinking. Are we witnessing the initial stages of convergence or are recent developments better interpreted as adjustments? This article addresses these questions by comparing Swedish and Dutch theoretical understandings of ‘the drug problem’. Goals and practices are illuminated in the context of underlying theory, raising the question: Can substantial convergence be achieved without significant prior changes in theoretical perceptions? It is found that the theoretical understandings of the two paradigms do not mix easily, complicating attempts at convergence. Moreover, both countries have invested a great deal of political prestige in their respective models, further exacerbating the problem. A conceivable way to circumvent these difficulties is suggested.     

Q-LEARNING WITH CENSORED DATA

We develop methodology for a multistage-decision problem with flexible number of stages in which the rewards are survival times that are subject to censoring. We present a novel Q-learning algorithm that is adjusted for censored data and allows a flexible number of stages. We provide finite sample bounds on the generalization error of the policy learned by the algorithm, and show that when the optimal Q-function belongs to the approximation space, the expected survival time for policies obtained by the algorithm converges to that of the optimal policy. We simulate a multistage clinical trial with flexible number of stages and apply the proposed censored-Q-learning algorithm to find individualized treatment regimens. The methodology presented in this paper has implications in the design of personalized medicine trials in cancer and in other life-threatening diseases.     

Informality,emotion and gendered career paths: The hidden toll of maternity leave on female academics and researchers

While the negative impact of child‐raising and caring on women's career progression in academia is well‐established, less is known about the role of academic women's lived experiences of maternity leave as an institutional practice. This article presents the findings of a qualitative study of the lived experiences of female academics and researchers in an Irish university. The analysis intrinsically links organizational structures and problems with the lived and felt dimensions of work. The findings point to the need for better structural accommodations for maternity leave which address the relationship between caring and career disadvantage within academia. The article adds to existing literature on the intersection of motherhood and academia by unpicking the specific role of maternity leave as both a lived experience and an institutional practice that can reinforce gender inequalities in academia.     

Not without them: realising the sustainable development goals for women migrant workers

ABSTRACT

Drawing on multiple data sources, including key informant interviews, participant observation and archival study, this paper provides an analysis of the civil society’s role in foregrounding the agenda of women migrants in migration and development (M&D) fora, and reflects on its role in realising the UN Sustainable Development Goals (SDGs). Yet, the dominant narrative within the state-led Global Forum on Migration and Development (GFMD) tends to be a gender-blind migration for development approach, which emphasises national-level economic growth at the centre of migration processes, while negating the subjectivities of women migrants and neglecting their contributions to the global economy; this approach diverts attention to a narrow focus on macro-economic development through forms of financial remittances. Based on an examination of the GFMD as a site for gender mainstreaming M&D, we reflect on lessons learned as we look forward to achieving the SDGs. We argue that while the SDGs include some significant provisions for women in migration, only critical civil society advocacy and activism networked within grassroots organisations can address the structural changes necessary (such as a re-articulation of the care economy to value economic contributions of women’s reproductive work) to transform and improve the lived realities of women in migration and realise the SDGs in a manner that fosters their empowerment.     

THE INEFFICIENCY OF WORKER TIME USE

Much work is carried out in short, interrupted segments. This phenomenon, which we label task juggling, has been overlooked by economists. We study the work schedules of some judges in Italy documenting that they do juggle tasks and that juggling causally lowers their productivity substantially. To measure the size of this effect, we show that although all these judges receive the same workload, those who juggle more trials at once instead of working sequentially on few of them at each unit of time, take longer to complete their portfolios of cases. Task juggling seems to have no adverse effect on the quality of the judges' decisions, as measured by the percent of decisions appealed. To identify these causal effects we estimate models with judge fixed effects and we exploit the lottery assigning cases to judges. We discuss whether task juggling can be viewed as inefficient, and provide a back‐of‐the‐envelope calculation of the social cost of longer trials due to task juggling.     

Approximate Bayesian computation with composite score functions

Both approximate Bayesian computation (ABC) and composite likelihood methods are useful for Bayesian and frequentist inference, respectively, when the likelihood function is intractable. We propose to use composite likelihood score functions as summary statistics in ABC in order to obtain accurate approximations to the posterior distribution. This is motivated by the use of the score function of the full likelihood, and extended to general unbiased estimating functions in complex models. Moreover, we show that if the composite score is suitably standardised, the resulting ABC procedure is invariant to reparameterisations and automatically adjusts the curvature of the composite likelihood, and of the corresponding posterior distribution. The method is illustrated through examples with simulated data, and an application to modelling of spatial extreme rainfall data is discussed.