Cultural capital or relative risk aversion? Two mechanisms for educational inequality compared1

In this paper we empirically examined two explanatory mechanisms for educational inequality: cultural reproduction and relative risk aversion, using survey data taken from secondary school pupils in Amsterdam. Cultural reproduction theory seeks to explain class variations in schooling by cultural differences between social classes. Relative risk aversion theory argues that educational inequalities can be understood by between-class variation in the necessity of pursuing education at branching points in order to avoid downward mobility. We showed that class variations in early demonstrated ability are for a substantial part cultural: cultural capital - measured by parental involvement in highbrow culture - affected school performance at the primary and secondary level. However, relative risk aversion - operationalized by being concerned with downward mobility - strongly affects schooling ambitions, whereas cultural capital had no effect. Thus, we conclude that 'primary effects' of social origin on schooling outcomes are manifested through cultural capital and not through relative risk aversion (in addition to other potential sources of class variations such as genetics). Relative risk aversion, and not cultural capital, affects schooling ambitions, which is relevant for our understanding of secondary effects.     

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.     

Correcting missing-data bias in historical demography

Studies on population history are often based on incomplete records of life histories. For instance, in studies using data obtained from family reconstitution, the date of death is right censored (by migration) and the censoring time is never observed. Several methods for the correction of mortality estimates are proposed in the literature, most of which first estimate the number of individuals at risk and then use standard techniques to estimate mortality. Other methods are based on statistical models. In this paper all methods are reviewed, and their merits are compared by applying them to simulated and to seventeenth-century data from the English parish of Reigate. An ad hoc method proposed by Ruggles performs reasonably well. Methods based on statistical models, provided they are sufficiently realistic, give comparable accuracy and allow the estimation of several other quantities of interest, such as the distribution of migration times.     

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.     

Finding common ground: how superdiversity is unsettling social work education

For social work education in the Netherlands, the rapid transition towards superdiversity means that its capacity to adapt to this new reality and to adjust to diverse students’ backgrounds is fiercely challenged. The key aim of this article is to discuss how social work educators are dealing with the unsettling challenges of increasing diversity, based on the research outcomes of an explorative study amongst Turkish–Dutch and Moroccan–Dutch female professionals. Two different groups of educators were asked to comment on the outcomes of this study. One of the dilemmas for educators is to determine what can be considered supportive and inclusive and as reducing inequality in education. The authors used two key theoretical concepts, ‘superdiversity’ and ‘the capability approach’. These theoretical perspectives were used to deconstruct the rather massive concepts of diversity and social justice, by emphasising contextual approaches. Both perspectives stress the urgent need to involve students as ‘active agents of change’, by building a social work community to stimulate and facilitate an on-going dialogue. To successfully fulfil a pivotal role in the upward mobility or emancipation of ethnic minority students, social work education needs to be adjusted to accommodate diverse student groups.     

‘My profession is gone’: how social workers experience de-professionalization in the Netherlands

Recently social work in the Netherlands underwent two major changes. Specialized agencies were replaced by one-stop shops (district teams) and the welfare state was replaced by a ‘participation society’, in which vulnerable groups have to rely on their social network rather than resort to professional care. The first change is termed ‘de-specialization’; the second ‘basic de-professionalization’. The research question in this article is: how do Dutch social workers experience and evaluate these two developments? Qualitative interviews with 29 experienced social workers show that most of them endorse de-specialization, as this type of aid is deemed better for clients with complex problems. Moreover, many social workers like to take on new tasks. Basic de-professionalization is met with more reserve. Social workers observe that many clients do not have a suitable network and need professional help. In addition, they feel that their profession is being degraded as lay people and volunteers take over (part of) their work. However, they feel unable to resist this development, because resistance might get them sacked. Some social workers even enhance basic de-professionalization because of their willingness to continue working as (retired) volunteers. Social workers and theorists need to address and counter the move towards basic de-professionalization.     

Changing Indigeneity Politics in Indonesia: From Revival to Projects

Through the discourse of indigeneity, rural communities around the world are joining a global network of rural justice seekers. By articulating grievances collectively, they demand state recognition while seeking support from NGOs and international development organisations. In Indonesia, the manifestation of indigenous ‘adat’ politics is no longer confined to the national struggle for the recognition of land rights, but instead, has proliferated into many localised short term ‘adat projects’. This introduction to the TAPJA special issue on adat demonstrates that both the rural poor and local elites can be the initiators or recipients of these adat projects but, at the current juncture, the latter are better positioned to benefit from such projects. The special issue shows that in Indonesia, where adat is often firmly entrenched in the state, the promotion of indigeneity claims can work in contradictory ways. Findings from across the special issue show that adat projects tend to reinforce the power of the state, rather than challenging it.     

Measuring ambiguity preferences: A new ambiguity preference survey module

Journal of Risk and Uncertainty - Ambiguity preferences are important to explain human decision-making in many areas in economics and finance. To measure individual ambiguity preferences, the...     

Cross Validation of the Gambling Problem Severity Subscale of the Canadian Adolescent Gambling Index (CAGI/GPSS) on a Sample of Ontario High School Students

This paper reports on the cross validation of the Gambling Problem Severity Subscale of the Canadian Adolescent Gambling Index (CAGI/GPSS). The CAGI/GPSS was included in a large school based drug use and health survey conducted in 2015. Data from students in grades 9–12 (ages 13–20 years) derived from the (N = 3369 students). The CAGI/GPSS produced an alpha of 0.789. A principle component analysis revealed two eigenvalues greater than one. An oblique rotation revealed these components to represent consequences and over involvement. The CAGI/GPSS indicated that 1% of the students fell into the “red” category indicating a severe problem and an additional 3.3% scored in the “yellow” category indicating low to moderate problems. The CAGI/GPSS was shown to be significantly correlated with gambling frequency (r = 0.36), largest expenditure (r = 0.37), sex (more likely to be male) (r = ?0.19), lower school marks (r = ?0.07), hazardous drinking, (r = 0.16), problem video game play (r = 0.16), as well as substance abuse. The CAGI/GPSS was cross validated using a shorted version of the short SOGS, r = 0.48. In addition the CAGI/GPSS and short SOGS produced very similar patterns of correlations results. The results support the validity and reliability of the CAGI/GPSS as a measure of gambling problems among adolescents.