‘Death talk’, ‘loss talk’ and identification in the process of ageing

In this paper, we examine the injunction issued by the prominent politician, broadcaster and older people's advocate, Baroness Joan Bakewell, to engage in ‘death talk’. We see positive ethical potential in this injunction, insofar as it serves as a call to confront more directly the prospects of death and dying, thereby releasing creative energies with which to change our outlook on life and ageing more generally. However, when set against a culture that valorises choice, independence and control, the positive ethical potential of such injunctions is invariably thwarted. We illustrate this with reference to one of Bakewell's interventions in a debate on scientific innovation and population ageing. In examining the context of her intervention, we affirm her intuition about its positive ethical potential, but we also point to an ambivalence that accompanies the formulation of the injunction – one that ultimately blunts the force and significance of her intuition. We suggest that Gilleard and Higgs' idea of the third age/fourth age dialectic, combined with the psycho-analytic concepts of fantasy and mourning, allow us to express this intuition better. In particular, we argue that the expression ‘loss talk’ (rather than ‘death talk’) better captures the ethical negotiations that should ultimately underpin the transformation processes associated with ageing, and that our theoretical contextualisation of her remarks can help us see this more clearly. In this view, deteriorations in our physical and mental capacities are best understood as involving changes in how we see ourselves, i.e. in our identifications, and so what is at stake are losses of identity and the conditions under which we can engage in new processes of identification.

An analysis of police interview discourse and its role(s) in the judicial process

This study analyses the current role of police-suspect interview discourse in the England & Wales criminal justice system, with a focus on its use as evidence. A central premise is that the interview should be viewed not as an isolated and self-contained discursive event, but as one link in a chain of events which together constitute the criminal justice process. It examines: (1) the format changes undergone by interview data after the interview has taken place, and (2) how the other links in the chain – both before and after the interview – affect the interview-room interaction itself. It thus examines the police interview as a multi-format, multi-purpose and multi-audience mode of discourse. An interdisciplinary and multi-method discourse-analytic approach is taken, combining elements of conversation analysis, pragmatics, sociolinguistics and critical discourse analysis. Data from a new corpus of recent police-suspect interviews, collected for this study, are used to illustrate previously unaddressed problems with the current process, mainly in the form of two detailed case studies. Additional data are taken from the case of Dr. Harold Shipman. The analysis reveals several causes for concern, both in aspects of the interaction in the interview room, and in the subsequent treatment of interview material as evidence, especially in the light of s.34 of the Criminal Justice and Public Order Act 1994. The implications of the findings for criminal justice are considered, along with some practical recommendations for improvements. Overall, this study demonstrates the need for increased awareness within the criminal justice system of the many linguistic factors affecting interview evidence.

Semi-supervised Gaussian process latent variable model with pairwise constraints

In machine learning, Gaussian process latent variable model (GP-LVM) has been extensively applied in the field of unsupervised dimensionality reduction. When some supervised information, e.g., pairwise constraints or labels of the data, is available, the traditional GP-LVM cannot directly utilize such supervised information to improve the performance of dimensionality reduction. In this case, it is necessary to modify the traditional GP-LVM to make it capable of handing the supervised or semi-supervised learning tasks. For this purpose, we propose a new semi-supervised GP-LVM framework under the pairwise constraints. Through transferring the pairwise constraints in the observed space to the latent space, the constrained priori information on the latent variables can be obtained. Under this constrained priori, the latent variables are optimized by the maximum a posteriori (MAP) algorithm. The effectiveness of the proposed algorithm is demonstrated with experiments on a variety of data sets. © 2010 Elsevier B.V.