The militarisation of English schools: Troops to Teaching and the implications for Initial Teacher Education and race equality

This article considers the implications of the Troops to Teaching (TtT) programme, to be introduced in England in autumn 2013, for Initial Teacher Education (ITE) and race equality. TtT will fast-track ex-armed service members to teach in schools, without necessarily the requirement of a university degree. Employing theories of white supremacy, and Althusser’s (1971) concept of Ideological and Repressive State Apparatus, I argue that this initiative both stems from, and contributes to, a system of social privilege and oppression in education. Despite appearing to be aimed at all young people, the planned TtT initiative is actually aimed at poor and racially subordinated youth. This is likely to further entrench polarisation in a system which already provides two tier educational provision: TtT will be a programme for the inner-city disadvantaged, whilst wealthier, whiter schools will mostly continue to get highly qualified teachers. Moreover, TtT contributes to a wider devaluing of current ITE; ITE itself is rendered virtually irrelevant, as it seems TtT teachers will not be subject specialists, rather will be expected to provide military-style discipline, the skills for which they will be expected to bring with them. More sinister, I argue that TtT is part of the wider militarisation of education. This military-industrial-education complex seeks to contain and police young people who are marginalised along lines of race and class, and contributes to a wider move to increase ideological support for foreign wars - both aims ultimately in the service of neoliberal objectives which will feed social inequalities.

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.

Spiking neural network model of sound localisation using the interaural intensity difference

In this paper, a spiking neural network (SNN) architecture to simulate the sound localization ability of the mammalian auditory pathways using the interaural intensity difference cue is presented. The lateral superior olive was the inspiration for the architecture, which required the integration of an auditory periphery (cochlea) model and a model of the medial nucleus of the trapezoid body. The SNN uses leaky integrateand-fire excitatory and inhibitory spiking neurons, facilitating synapses and receptive fields. Experimentally derived headrelated transfer function (HRTF) acoustical data from adult domestic cats were employed to train and validate the localization ability of the architecture, training used the supervised learning algorithm called the remote supervision method to determine the azimuthal angles. The experimental results demonstrate that the architecture performs best when it is localizing high-frequency sound data in agreement with the biology, and also shows a high degree of robustness when the HRTF acoustical data is corrupted by noise.