A Race to the bottom – Prison Education and the English and Welsh Policy Context

This article examines prison education in England and Wales arguing that a disjuncture exists between the policy rhetoric of entitlement to education in prison at the European level and the playing out of that entitlement in English and Welsh prisons. Caught between conflicting discourses around a need to combat recidivism and a need for incarceration, prison education in England exists within a policy context informed, in part, by an international human rights agenda on the one hand and global recession, financial cutbacks, and a moral panic about crime on the other. The European Commission has highlighted a number of challenges facing prison education in Europe including over‐crowded institutions, increasing diversity in prison populations, the need to keep pace with pedagogical changes in mainstream education and the adoption of new technologies for learning (Hawley et al., 2013). These are challenges confronting all policy makers involved in prison education in England and Wales in a policy context that is messy, contradictory and fiercely contested. The article argues that this policy context, exacerbated by socio‐economic discourses around neo‐liberalism, is leading to a race‐to‐the‐bottom in the standards of educational provision for prisoners in England and Wales.

A critical analysis of Child and Adolescent Mental Health Services policy in England, 2000‐2015

Policy in Child and Adolescent Mental Health (CAMH) in England has undergone radical changes in the last 15 years, with far reaching implications for funding models, access to services and service delivery. Using corpus analysis and critical discourse analysis, we explore how childhood, mental health, and CAMHS are constituted in 15 policy documents, 9 pre‐2010, and 6 post 2010. We trace how these constructions have changed over time, and consider the practice implications of these changes. We identify how children’s distress is individualised, through medicalising discourses and shifting understandings of the relationship between socioeconomic context and mental health. This is evidenced in a shift from seeing children’s mental health challenges as produced by social and economic inequities, to a view that children’s mental health must be addressed early to prevent future socio‐economic burden. We consider the implications CAMHS policies for the relationship between children, families, mental health services and the state. The paper concludes by exploring how concepts of ‘parity of esteem’ and ‘stigma reduction’ may inadvertently exacerbate the individualisation of children’s mental health.

Predicting bee community responses to land-use changes: Effects of geographic and taxonomic biases

Land-use change and intensification threaten bee populations worldwide, imperilling pollination services. Global models are needed to better characterise, project, and mitigate bees' responses to these human impacts. The available data are, however, geographically and taxonomically unrepresentative; most data are from North America and Western Europe, overrepresenting bumblebees and raising concerns that model results may not be generalizable to other regions and taxa. To assess whether the geographic and taxonomic biases of data could undermine effectiveness of models for conservation policy, we have collated from the published literature a global dataset of bee diversity at sites facing land-use change and intensification, and assess whether bee responses to these pressures vary across 11 regions (Western, Northern, Eastern and Southern Europe; North, Central and South America; Australia and New Zealand; South East Asia; Middle and Southern Africa) and between bumblebees and other bees. Our analyses highlight strong regionally-based responses of total abundance, species richness and Simpson's diversity to land use, caused by variation in the sensitivity of species and potentially in the nature of threats. These results suggest that global extrapolation of models based on geographically and taxonomically restricted data may underestimate the true uncertainty, increasing the risk of ecological surprises.