The question of question types in police interviews:a review of the literature from a psychological and linguistic perspective

The past two decades has seen a plethora of papers and academic research conducted on investigative interviews with victims, witnesses and suspected offenders, with a particular focus on questioning techniques and typologies. However, despite this research, there still remain significant discrepancies amongst academic researchers and practitioners over how best to describe types of questions. This article considers the available literature relating to interviews with children and adults from both a psychological and linguistic perspective. In particular, we examine how different types of questions are described, and explore the discrepancies between competing definitions. © 2010, equinox publishing.

Standing in front of bulldozers? Explaining policy stability in land use planning

Policy towards planning presents scholars of politics and public policy with a significant puzzle. Since 1947, there has been a surprising level of stability in the system used to plan the use of land. On the other hand, there has been growing evidence that insufficient land has been released for development. The paper considers the question why, in spite of the planning system demonstrably failing to allocate sufficient land, fundamental reform of the system has not been achieved. In answering the question, the paper considers in particular attempts at reform under the Labour governments from 1997 to 2010. It argues that there is an interplay of interests, ideas and institutions: public attitudes, the interests of certain sections of the population, and institutions which are responsive to these attitudes and interests combined to stymie policy reform. As a consequence, radical reform was not achieved, and the paper concludes that attempt to find a technical “fix” to the planning system are unlikely to succeed. A diagnosis recognising the political and distributive nature of the problem will be required.

Can we observe collective neuronal activity from macroscopic aggregate signals?

The fundamental problem faced by noninvasive neuroimaging techniques such as EEG/MEG1 is to elucidate functionally important aspects of the microscopic neuronal network dynamics from macroscopic aggregate measurements. Due to the mixing of the activities of large neuronal populations in the observed macroscopic aggregate, recovering the underlying network that generates the signal in the absence of any additional information represents a considerable challenge. Recent MEG studies have shown that macroscopic measurements contain sufficient information to allow the differentiation between patterns of activity, which are likely to represent different stimulus-specific collective modes in the underlying network (Hadjipapas, A., Adjamian, P., Swettenham, J.B., Holliday, I.E., Barnes, G.R., 2007. Stimuli of varying spatial scale induce gamma activity with distinct temporal characteristics in human visual cortex. NeuroImage 35, 518–530). The next question arising in this context is whether aspects of collective network activity can be recovered from a macroscopic aggregate signal. We propose that this issue is most appropriately addressed if MEG/EEG signals are to be viewed as macroscopic aggregates arising from networks of coupled systems as opposed to aggregates across a mass of largely independent neural systems. We show that collective modes arising in a network of simulated coupled systems can be indeed recovered from the macroscopic aggregate. Moreover, we show that nonlinear state space methods yield a good approximation of the number of effective degrees of freedom in the network. Importantly, information about hidden variables, which do not directly contribute to the aggregate signal, can also be recovered. Finally, this theoretical framework can be applied to experimental MEG/EEG data in the future, enabling the inference of state dependent changes in the degree of local synchrony in the underlying network.

Corporate governance and accounting conservatism:evidence from the banking industry

Research Question/Issue: In this paper, we empirically investigate whether US listed commercial banks with effective corporate governance structures engage in higher levels of conservative financial accounting and reporting. Research Findings/Insights: Using both market- and accrual-based measures of conservatism and both composite and disaggregated governance indices, we document convincing evidence that well-governed banks engage in significantly higher levels of conditional conservatism in their financial reporting practices. For example, we find that banks with effective governance structures, particularly those with effective board and audit governance structures, recognize loan loss provisions that are larger relative to changes in nonperforming loans compared to their counterparts with ineffective governance structures. Theoretical/Academic Implications: We contribute to the extant literature on the relationship between corporate governance and quality of accounting information by providing evidence that banks with effective governance structures practice higher levels of accounting conservatism. Practitioner/Policy Implications: The findings of this study would be useful to US bank regulators/supervisors in improving the existing regulatory framework by focusing on accounting conservatism as a complement to corporate governance in mitigating the opaqueness and intense information asymmetry that plague banks.

Cross ontology query answering on the semantic web:an initial evaluation

PowerAqua is a Question Answering system, which takes as input a natural language query and is able to return answers drawn from relevant semantic resources found anywhere on the Semantic Web. In this paper we provide two novel contributions: First, we detail a new component of the system, the Triple Similarity Service, which is able to match queries effectively to triples found in different ontologies on the Semantic Web. Second, we provide a first evaluation of the system, which in addition to providing data about PowerAqua's competence, also gives us important insights into the issues related to using the Semantic Web as the target answer set in Question Answering. In particular, we show that, despite the problems related to the noisy and incomplete conceptualizations, which can be found on the Semantic Web, good results can already be obtained.