Engagement mentoring for socially excluded youth: problematising an 'holistic' approach to creating employability through the transformation of habitus

This paper traces the emergence of engagement mentoring, which seeks to re-engage socially excluded youth with the formal labour market by altering their attitudes, values, and beliefs. Engagement mentoring has been promoted in European and British policy as an holistic response to social exclusion, for example, in the new Connexions service. However, the original meaning of 'holism' has become contested, and policies and practices which claim to be holistic require clearer analysis. Drawing on Bourdieuian theory, and evidence from recent research, this paper interrogates the holistic claims of engagement mentoring from the perspective of its intended effects on mentees. It argues that the model treats personal disposition--habitus--as a raw material to be wrought into 'employable' dispositions, with little or no acknowledgement of institutional or structural fields of power. However, habitus is highly complex, with deep-rooted and collective aspects not easily transformed. A greater understanding of habitus might result in more genuinely holistic approaches to mentoring, and counter a perceptible policy drift towards totalitarian rather than holistic practice.     

A comparison of the effects of partial reinforcement schedules using a within-subject serial autoshaping procedure

Three experiments, each using a single group of pigeons, are reported. In Experiment 1 subjects were initially trained with two stimuli, one of which was always followed by food, the other being reinforced according to a 50% partial reinforcement schedule. Subsequently a serial procedure was adopted in which an additional stimulus, C, was consistently followed by the partially reinforced CS. A second additional stimulus, A, was followed on half of its occurrences by the continuously reinforced CS, its remaining presentations being followed by nothing. The rate of autoshaped keypecking was substantially greater during A than during C. In the remaining experiments subjects received first-order conditioning with a single stimulus that was either partially (Experiment 2) or continuously (Experiment 3) reinforced. The stimuli A and C were then again introduced for serial autoshaping. Stimulus A was occasionally paired with the CS and occasionally followed by nothing, whereas stimulus C was always followed by the CS. As in Experiment 1, the rate of responding during A was greater than during C. It is proposed that one influence on the rate of autoshaped keypecking during a CS is the accuracy with which the immediate consequences of that CS are predicted.     

Perceptual Categorization: Connectionist Modelling and Decision Rules

Although it is currently popular to model human associative learning using connectionist networks, the mechanism by which their output activations are converted to probabilities of response has received relatively little attention. Several possible models of this decision process are considered here, including a simple ratio rule, a simple difference rule, their exponential versions, and a winner-take-all network. Two categorization experiments that attempt to dissociate these models are reported. Analogues of the experiments were presented to a single-layer, feed-forward, delta-rule network. Only the exponential ratio rule and the winner-take-all architecture, acting on the networks' output activations that corresponded to responses available on test, were capable of fully predicting the mean response results. In addition, unlike the exponential ratio rule, the winner-take-all model has the potential to predict latencies. Further studies will be required to determine whether latencies produced under more stringent conditions conform to the model's predictions.