A virtuous circle: the positive evaluation phenomenon in arts audience research
Arts impact evaluation is the subject of widespread criticism, ranging from a detailed critique of methodology to a wholesale rejection of the very purpose of the endeavour. In particular, it is often identified that audience evaluations are almost always positive. Yet whatever the critique, arts impact evaluation is becoming more and not less prevalent as a condition of public and philanthropic funding. This article explores both the methodological and conceptual problems that contribute to the perceived positive character of social impact research, in two parts: (1) an investigation of the critical literature on audience evaluation, particularly in relation to the argument that evaluation is inevitably positive and as such leads to a confusion between the goals of evaluation and arts advocacy; (2) a reflection on our practices as audience researchers in the performing arts and the practical factors that contribute to the dominance of the positive in audience evaluation.
Knowing Audiences: ""Judge Dredd,"" Its Friends, Fans and Foes
""Such research is invaluable to academics, the industry and policy workers, and their findings are too important to ignore."" -Annette Hill in Framework: The Journal of Cinema and Media Exploring the influence ""action"" films have on audiences, this book considers how people relate to and are influenced by such films as Judge Dredd. While a considerable amount of audience research has been done within the media studies tradition, the scope of the research has not previously been limited to the audiences of these types of film. This study delves specifically into audiences of this specific genre of film, which has been a mainstay of Hollywood since the mid-1970s.
Color image based sorter for separating red and white wheat
A simple imaging system was developed to inspect and sort wheat samples and other grains at moderate feed-rates (30 kernels/s or 3.5 kg wheat/h). A single camera captured color images of three sides of each kernel by using mirrors, and the images were processed using a personal computer (PC). Real time image acquisition and processing was enabled on an ordinary PC under Windows XP operating system using the IEEE 1394 data transfer protocol, DirectX application software, and dual-core computer processor. Image acquisition and transfer to the PC required approximately 17 ms per kernel, and an additional 1.5 ms was required for image processing. After classification, the computer could output a signal from the parallel port to activate an air valve to divert (sort) kernels into a secondary container. Hard red and hard white wheat kernels were used in this study to test and demonstrate sorter capability. Simple image statistics and histograms were used as features. Discriminant analysis was performed with one, two, or three features to demonstrate classification improvements with increased numbers of features. The sorter was able to separate hard red kernels from hard white kernels with 95 to 99% accuracy, depending on the wheat varieties, feed-rate, and number of classification features. The system is an economical and useful instrument for sorting wheat and other grains with high accuracy.