A career exploration programme for learners with special educational needs

Learners with disabilities lag far behind their peers without disabilities in achievement, graduation rates, post-school education and employment outcomes [4]. Against the current state of education affairs in South Africa, where curriculum models for learners with special educational needs (LSEN) are still under revision, therapists and teachers are finding it difficult to prepare these learners for appropriate employment after school. Even where systems in education are established, persons with learning disabilities face more challenges to enter employment [5]. This article reports on a unique career exploration programme for grade 11 learners at a school for learners with special educational needs in Gauteng, South Africa. It is a collaborative strategy between the learners, their parents, a teacher and the occupational therapists at the school. Two case studies are described to indicate the success of the program.     

Functional benefit of power training for older adults

Aging leads to significant losses in muscle mass, strength, and the ability to independently perform activities of daily living (ADL). Typically, standard resistance training (RT) has been used to reduce these losses in function by maintaining or even increasing muscle strength in older adults. Increasing strength does not necessarily, however, result in an increase in the ability to perform ADL. There is now research suggesting that muscle power is more closely associated with the performance of ADL than muscle strength is, so training for muscle power might lead to more beneficial results in functional performance. This review of studies investigating the effect of training on ADL performance in older adults indicated that standard RT is effective in increasing strength in older adults, but power training that contains high-velocity contractions might be a more optimal means of training older adults when the emphasis is on increasing the performance of ADL.     

Thriving Under Uncertainty: The Effect of Achievement Goal Orientation on Job Insecurity and Flourishing

Social Indicators Research - Flourishing, a construct encompassing optimal human functioning, is an indicator of well-being. The purpose of this study was to examine the direct and indirect effects...     

Evaluating social investment in disability policy

Disability policy in European countries is displaying a shift towards social investment: increasing human capital and access to the labour market. The reasoning that underlies this transition is that disabled persons would benefit from mainstream employment, but are impeded in traditional policy by deficiencies in labour supply and demand. However, the shift towards more activating policies in many countries is accompanied by a decline in social protection. It is unclear whether social investment may effectively promote the employment chances of disabled persons within this context. The present research examines this question through a quantitative, cross-sectional, multilevel analysis on microdata from 22 EU countries. Our findings suggest greater activation to predict lower employment chances, while reducing passive support shows mixed effects. Conversely, measures for facilitation in daily life predict greater employment chances, as do measures for sheltered work. These findings raise questions over the value of social investment for disabled persons—and underline the need to overcome broader barriers in the labour market and in society.     

Social innovation and the autoimmunity of employability

The purpose of this article is to examine social innovation in the field of youth employment. It addresses both the shortcomings of supply-side approaches that are balanced towards issues such as employability and the impact of key demand side issues including low pay and precarity. The empirical analysis is based upon interviews with young people in employment or training with social innovations as well as interviews with senior policymakers and practitioners whose remit covers these issues. The study concludes by reflecting upon how the conduct of employability can operate as an autoimmune function.     

Risk attitudes and digit ratio (2D:4D): Evidence from prospect theory

Journal of Risk and Uncertainty - Prenatal androgens have organizational effects on brain and endocrine system development, which may have a partial impact on economic decisions. Numerous studies...     

Juggling Between Parental and School Expectations: The Development of Domain‐Specific Acculturation Orientations in Early Adolescence

We examined how perceived acculturation expectations from parents and school, and ethnic discrimination predicted early adolescents’ heritage and mainstream acculturation orientations at home (private domain) and in school (public domain) one year later. We surveyed 263 early adolescents of immigrant background in Germany (M_age = 10.44 years, 60% female). Multigroup path analyses revealed that perceived acculturation expectations and ethnic discrimination were more strongly related to adolescents’ private than public acculturation orientations. Parental heritage expectations were the strongest predictor of adolescents’ acculturation orientations. Boys were more susceptible than girls to ethnic discrimination and acculturation expectations in school, which affected their private and public acculturation orientations. Results highlight the importance of integrating domain‐specific and gendered experiences when analyzing adolescents’ acculturative development.     

Learning from a lot: Empirical Bayes for high‐dimensional model‐based prediction

Empirical Bayes is a versatile approach to “learn from a lot” in two ways: first, from a large number of variables and, second, from a potentially large amount of prior information, for example, stored in public repositories. We review applications of a variety of empirical Bayes methods to several well‐known model‐based prediction methods, including penalized regression, linear discriminant analysis, and Bayesian models with sparse or dense priors. We discuss “formal” empirical Bayes methods that maximize the marginal likelihood but also more informal approaches based on other data summaries. We contrast empirical Bayes to cross‐validation and full Bayes and discuss hybrid approaches. To study the relation between the quality of an empirical Bayes estimator and p, the number of variables, we consider a simple empirical Bayes estimator in a linear model setting. We argue that empirical Bayes is particularly useful when the prior contains multiple parameters, which model a priori information on variables termed “co‐data”. In particular, we present two novel examples that allow for co‐data: first, a Bayesian spike‐and‐slab setting that facilitates inclusion of multiple co‐data sources and types and, second, a hybrid empirical Bayes–full Bayes ridge regression approach for estimation of the posterior predictive interval.