Abstimmen oder Schwimmen? Plebiszitarer Sport und synchronisierte Wahlen. [Sink or swim: Plebiscitary sport and synchronised voting.][In German]

This chapter starts from the observation that new sporting attributes are growing up unnoticed in popular entertainment and ‘reality’ TV. They celebrate not individual heroics but spectator-oriented teamwork which must look effortless and stylish. Instead of objective measurements – ‘faster, higher, stronger’ – winners are picked by voting and consumer choice. Sport and media are converging and integrating. As they do so, what counts as sport, why it is valued, and what it symbolises for contemporary culture, are all changing. I take these changes to be emblematic of something emergent in the culture at large as the modernist paradigm shifts towards a new consumerist paradigm. This is symbolised in new sports, of which the paradigm example is synchronised swimming. The chapter traces these changes via the career and legacy of the Australian swimming and fashion pioneer Annette Kellerman.

The Australian election survey: the tale of the rabbit-less hat. Voting behaviour in 2007

This paper examines voter attitudes and behaviour at the 2007 Australian federal election., using data from the Australian Election Study. It considers socio-demographic factors as well as the role of policy issues and voter evaluations of the party leaders. The paper concludes that issues, such as the government's WorkChoices policy, as well as health and leadership contributed to Labor's victory.

An indication that non-informative vision eliminates the Kinaesthetic Fusion Effect

This study investigated the Kinaesthetic Fusion Effect (KFE) first described by Craske and Kenny in 1981. The current study did not replicate these findings. Participants did not perceive any reduction in the sagittal separation of a button pressed by the index finger of one arm and a probe touching the other, following repeated exposure to the tactile stimuli present on both unseen arms. This study’s failure to replicate the widely-cited KFE as described by Craske et al. (1984) suggests that it may be contingent on several aspects of visual information, especially the availability of a specific visual reference, the role of instructions regarding gaze direction, and the potential use of a line of sight strategy when referring felt positions to an interposed surface. In addition, a foreshortening effect was found; this may result from a line-of-sight judgment and represent a feature of the reporting method used. The transformed line of sight data were regressed against the participant reported values, resulting in a slope of 1.14 (right arm) and 1.11 (left arm), and r > 0.997 for each. The study also provides additional evidence that mis-perceptions of the mediolateral position of the limbs specifically their separation and consistent with notions of Gestalt grouping, is somewhat labile and can be influenced by active motions causing touch of one limb by the other. Finally, this research will benefit future studies that require participants to report the perceived locations of the unseen limbs.

Boosting the margin: A new explanation for the effectiveness of voting methods

One of the surprising recurring phenomena observed in experiments with boosting is that the test error of the generated classifier usually does not increase as its size becomes very large, and often is observed to decrease even after the training error reaches zero. In this paper, we show that this phenomenon is related to the distribution of margins of the training examples with respect to the generated voting classification rule, where the margin of an example is simply the difference between the number of correct votes and the maximum number of votes received by any incorrect label. We show that techniques used in the analysis of Vapnik's support vector classifiers and of neural networks with small weights can be applied to voting methods to relate the margin distribution to the test error. We also show theoretically and experimentally that boosting is especially effective at increasing the margins of the training examples. Finally, we compare our explanation to those based on the bias-variance decomposition.

A voting mechanism for named entity translation in English-Chinese question answering

In this paper, we describe a voting mechanism for accurate named entity (NE) translation in English–Chinese question answering (QA). This mechanism involves translations from three different sources: machine translation,online encyclopaedia, and web documents. The translation with the highest number of votes is selected. We evaluated this approach using test collection, topics and assessment results from the NTCIR-8 evaluation forum. This mechanism achieved 95% accuracy in NEs translation and 0.3756 MAP in English–Chinese cross-lingual information retrieval of QA.

Learning informative features for indoor traversability

This paper presents a method for automatic terrain classification, using a cheap monocular camera in conjunction with a robot’s stall sensor. A first step is to have the robot generate a training set of labelled images. Several techniques are then evaluated for preprocessing the images, reducing their dimensionality, and building a classifier. Finally, the classifier is implemented and used online by an indoor robot. Results are presented, demonstrating an increased level of autonomy.

Disclosure of proxy voting information by Australian managed investment schemes

The US Securities and Exchange Comission requires registered management investment companies to disclose how they vote proxies relating to portfolio securities they hold. The primary purpose of this rule is to enable fund investors to monitor the role of institutional shareholders in the corporate governance practices of public companies. In Australia, despite reform proposals, there are no regulations requiring institutional investors to report proxy voting procedures and practises. There is little evidence of voluntary disclosure of proxy voting by Australian managed investment schemes in equities, indicating that there are costs involved in such disclosure.

Sufficiently informative measurements for stability of approximate conditional mean estimates

This paper establishes sufficient conditions to bound the error in perturbed conditional mean estimates derived from a perturbed model (only the scalar case is shown in this paper but a similar result is expected to hold for the vector case). The results established here extend recent stability results on approximating information state filter recursions to stability results on the approximate conditional mean estimates. The presented filter stability results provide bounds for a wide variety of model error situations.

Interactive conference voting

We describe and analyze opinion polling results from interactive voting procedures undertaken before and after presentations during the Outcome Measures in Rheumatoid Arthritis Clinical Trials Conference (OMERACT II) in Ottawa, Canada, June 30-July 2, 1994. The scoring procedure was a matched voting design; when a participant used the same keypad at the beginning and end of voting, change within a participant could be estimated. Participants, experienced in the rheumatic diseases included clinicians, researchers, methodologists, regulators, and representatives of the pharmaceutical industry. Patients under consideration were those with any rheumatic diseases. Questions were constructed to evaluate the change in voting behavior expected from the content of the presentation. Statistically significant and substantively important changes were evident in most questions.