SOCIAL ENTREPRENEURSHIP — FALSE PREMISES AND DANGEROUS FOREBODINGS

As a reaction against neo‐liberalism, Social Entrepreneurship has been promoted as the solution to welfare problems brought about by social change and persistent unemployment. The Social Entrepreneurship Movement (SEM) proposes the reconstruction of welfare by building social partnerships between the public, social and business sectors. Major aspects of this agenda include non‐profit organisations undertaking entrepreneurial ventures and the pooling of government welfare funding under the control of local communities. In this paper we argue that the SEM literature is based on two false premises: the failure to understand the true causes of mass unemployment, and the assumption that the government faces financial constraints in the provision of welfare services. We also argue that implementation of the SEM proposals would erode the rights‐based eligibility to universal welfare services based on the principle of social justice. We also conclude that the SEM is indistinguishable from neo‐liberalism and as such does not represent a viable solution to unemployment and the welfare needs that accompany it.     

Bareback sex and the law: the difficult issue of HIV status disclosure

1. Unsafe anal intercourse (bareback sex) is on the rise within the gay community. 2. Barebacking constitutes a sexual practice with strong HIV-related legal implications. Nurses need to be aware of public health laws to be able to protect clients from undue legal prosecution. 3. Nurses need to be aware of the components of HIV pretest counseling. 4. Adopting a nonjudgmental, matter-of-fact approach is essential in establishing effective therapeutic relationships with clients who engage in bareback sex.     

A DISCRETE-IN-TIME PROBABILISTIC INVENTORY MODEL FOR DETERIORATING ITEMS

A probabilistic scheduling-period inventory model continuous in units and discrete in time is developed for deteriorating items where deterioration is assumed to be a constant fraction of the on-hand inventory. The model is developed under the conditions of instantaneous delivery and no shortages. An example followed by sensitivity analysis is given to illustrate the derived results.     

Using YouTube vlogs to study women's experiences of participating in #MeToo

In our effort to study women's experiences of participating in the #MeToo social movement and the effects it has had on their lives, we employed YouTube vlogs posted under that hashtag, instead of interviews, as our source of experiential data. Few scholars have engaged in detailed reflections on vlogs as a source of qualitative data. Even fewer evaluate vlogs in relation to studying sexual violence, particularly women's experiences of participating in #MeToo. In this paper we contribute to these methodological discussions by reflecting on our use of vlogs in such a study, appraising the productive potentials and concerns related to qualitative vlog data. They afforded us several methodological benefits, but also entailed ethical and analytical challenges.     

A Note on Determining Optimal Selling Price and Lot Size Under All-Unit Quantity Discounts

A recent study conducted by Abad [1] described a method of determining the optimal price and lot size when the supplier offers all-unit quantity discounts. The author developed a procedure using centralized and decentralized approaches. According to the author's suggestion, further study is necessary to determine if the decentralized approach always provides an optimal solution. In the present study, an attempt is made to investigate the uniformity between the centralized and decentralized approaches and to verify whether the decentralized approach always yields optimal solutions.     

An Inventory Model with Planned Shortages and Price Dependent Demand

Previous research has yielded a procedure for a retailer to determine the optimal lot size and selling price when a supplier offers all-unit quantity discounts and demand is a decreasing function of price. In this paper, we extend that research by allowing for shortages. An algorithm is presented that determines the optimal lot size, order level, and selling price for a class of demand functions, including the constant price-elasticity and linear demand functions.     

Bayesian modelling of effects of prenatal alcohol exposure on child cognition based on data from multiple cohorts

High levels of prenatal alcohol exposure (PAE) result in significant cognitive deficits in children, but the exact nature of the dose-response relationship is less well understood. To investigate this relationship, data were assembled from six longitudinal birth cohort studies examining the effects of PAE on cognitive outcomes from early school age through adolescence. Structural equation models (SEMs) are a natural approach to consider, because of the way they conceptualise multiple observed outcomes as relating to an underlying latent variable of interest, which can then be modelled as a function of exposure and other predictors of interest. However, conventional SEMs could not be fitted in this context because slightly different outcome measures were used in the six studies. In this paper we propose a multi-group Bayesian SEM that maps the unobserved cognition variable to a broad range of observed outcomes. The relation between these variables and PAE is then examined while controlling for potential confounders via propensity score adjustment. By examining different possible dose-response functions, the proposed framework is used to investigate whether there is a threshold PAE level that results in minimal cognitive deficit.     

Connection,connectivity and choice: Learning during COVID-19 restrictions across mainstream schools and Flexible Learning Programmes in Australia

The COVID-19 pandemic and associated school closures may have constrained educational participation particularly for students in disadvantaged circumstances. We explore how 30 disadvantaged students in secondary school (14 mainstream/16 Flexible Learning Programme) from Queensland, New South Wales and Tasmania experienced home learning during the first wave of COVID-19, teasing out nuances across two educational models. Drawing on semi-structured interviews with these students, our analysis revealed three interconnected themes inflecting their learning: connection, connectivity and choice. Connection captures the desire for belonging and practices that facilitated meeting this desire during system-wide disruptions to school routines and face-to-face learning. Connectivity captures the impact of digitally facilitated learning at home on students' ability to engage with curriculum content and with their learning community. Choice captures the availability of viable options to overcome barriers students encountered in their learning and possibilities to flexibly accommodate student preferences and learning needs. Students from Flexible Learning Programmes appeared generally better supported to exercise agency within the scope of their lived experience of home-based learning. Findings indicate a need for strengthening student-centred policy and practices aimed at leveraging the affordances of information technology, balancing self-directed and structured learning and providing holistic support to enable meaningful student choice.