The 'Dirty Work' of the Lie

The panel "Duplicity/Complicity: Performing and Misperforming Lies" at PSi #15 in Croatia in July 2009 examined the half-truths, hidden assumptions and power relations embedded in every act of performance through an analysis of the way bodies, buildings, personae and communities perform and misperform lies. It was a collection of new academic voices from Australia and Croatia, intersecting and colliding and, at times, outright lying, with each other and with commentary from Alan Read. Inspired by this successful adventure in collaborative academic mis-performance, "The ‘Dirty Work’ of the Lie" takes the challenge set by the Prelude Panel at PSI #15 and subjects the ideas emerging from this panel to "friendly fire" in order to build a multi authored response to 'performance that lies', with reference to the work of A Chorus of Women, disabled artists Bill Shannon, Aaron Williamson and Kathryn Araneillo, US dance performer Ann Liv Young and US theatre and festival director Peter Sellars. In doing so, "The 'Dirty Work' of the Lie" provides a reflexive response to the duplicity inherent in the performances, and also in our own academic analyses. With Alan Read acting as interlocutor, each contributor will creatively respond to a paper presented by another, developing the key intersecting issues that emerged through the formation of the panel. These issues include impression management, self-belief and performers who are 'taken in by their own act', the dirty work of taking others in with an act, the guerrilla dimension of lying, the productivity of the lie, and questions of audience engagement and ethics. As a result, this new paper tests how the 'misperformance' of lies across different cultural sites, be it deliberate or accidental, can become a productive – and, indeed, politicised – aspect of cultural performance, betraying accepted attitudes, ideas and structures of authority and offering alternative visions. Through it’s distinctively multi vocal texture, "The 'Dirty Work' of the Lie" also interrogates the modes of analysis available to us, questioning the 'duplicity' in our reflecting, responding and listening to each other as well as the work.

Goreen Narrkwarren Ngrn-tuora : healthy family air : a literature review

This paper will focus on the literature review for Goreen Narrkwarren Ngrn-toura- Healthy Family Air, formerly known as Reducing smoking amongst pregnant Aboriginal women in Victoria: An Holistic Approach. Before we outline the findings from the literature review, we will provide some background information on the project, including why it is important and what and who are involved.

Establishing Aboriginal health research priorities in Victoria

The Victorian Aboriginal Community Controlled Health Organisation (VACCHO) conducted a research project to find out the impact of social determinants such as education, employment, income, racism and housing on the health and wellbeing of Aboriginal peoples. Forums and workshops were conducted to establish future research outcomes and priorities. The project will help in developing localised and community-oriented solutions to Aboriginal health issues.

The politics of media policy [Review]

"The Politics of Media Policy opens with a highly insightful analysis of how to do media policy studies in original and significant ways. Unfortunately, by anchoring its empirical analysis closely to a desire to expose the hidden machinations of neo-liberal ideology, it loses focus the more that it moves out of the dominant terrain of political economy in the study of media ownership. Des Freedman has pointed to important new directions in media policy studies, but has unfortunately only got half way to developing a new synthesis for understanding the relationship between policy institutions and broader ideas." -- from author's personal website

Measurement of the net environmental benefit of offsetting in Queensland

The process of offsetting land against unavoidable disturbance of development sites in Queensland will benefit from a method that allows the best possible selection to be made of alternative lands. With site selection now advocated through a combination of Regional Ecosystem and Land Capability classifications state-wide, a case study has determined methods of assessing the functional lift – that is, measures of net environmental gain – of such action. Outcomes with potentially high functional lift are determined, that offer promise not only for endangered ecosystems but also for managing adjacent conservation reserves.

Multivariate Markov Process Models for the transmission of methicillin-resistant Staphylococcus Aureus in a hospital ward

Methicillin-resistant Staphylococcus Aureus (MRSA) is a pathogen that continues to be of major concern in hospitals. We develop models and computational schemes based on observed weekly incidence data to estimate MRSA transmission parameters. We extend the deterministic model of McBryde, Pettitt, and McElwain (2007, Journal of Theoretical Biology 245, 470–481) involving an underlying population of MRSA colonized patients and health-care workers that describes, among other processes, transmission between uncolonized patients and colonized health-care workers and vice versa. We develop new bivariate and trivariate Markov models to include incidence so that estimated transmission rates can be based directly on new colonizations rather than indirectly on prevalence. Imperfect sensitivity of pathogen detection is modeled using a hidden Markov process. The advantages of our approach include (i) a discrete valued assumption for the number of colonized health-care workers, (ii) two transmission parameters can be incorporated into the likelihood, (iii) the likelihood depends on the number of new cases to improve precision of inference, (iv) individual patient records are not required, and (v) the possibility of imperfect detection of colonization is incorporated. We compare our approach with that used by McBryde et al. (2007) based on an approximation that eliminates the health-care workers from the model, uses Markov chain Monte Carlo and individual patient data. We apply these models to MRSA colonization data collected in a small intensive care unit at the Princess Alexandra Hospital, Brisbane, Australia.

Hierarchical Bayesian models for estimating the extent of plant pest invasions

Plant biosecurity requires statistical tools to interpret field surveillance data in order to manage pest incursions that threaten crop production and trade. Ultimately, management decisions need to be based on the probability that an area is infested or free of a pest. Current informal approaches to delimiting pest extent rely upon expert ecological interpretation of presence / absence data over space and time. Hierarchical Bayesian models provide a cohesive statistical framework that can formally integrate the available information on both pest ecology and data. The overarching method involves constructing an observation model for the surveillance data, conditional on the hidden extent of the pest and uncertain detection sensitivity. The extent of the pest is then modelled as a dynamic invasion process that includes uncertainty in ecological parameters. Modelling approaches to assimilate this information are explored through case studies on spiralling whitefly, Aleurodicus dispersus and red banded mango caterpillar, Deanolis sublimbalis. Markov chain Monte Carlo simulation is used to estimate the probable extent of pests, given the observation and process model conditioned by surveillance data. Statistical methods, based on time-to-event models, are developed to apply hierarchical Bayesian models to early detection programs and to demonstrate area freedom from pests. The value of early detection surveillance programs is demonstrated through an application to interpret surveillance data for exotic plant pests with uncertain spread rates. The model suggests that typical early detection programs provide a moderate reduction in the probability of an area being infested but a dramatic reduction in the expected area of incursions at a given time. Estimates of spiralling whitefly extent are examined at local, district and state-wide scales. The local model estimates the rate of natural spread and the influence of host architecture, host suitability and inspector efficiency. These parameter estimates can support the development of robust surveillance programs. Hierarchical Bayesian models for the human-mediated spread of spiralling whitefly are developed for the colonisation of discrete cells connected by a modified gravity model. By estimating dispersal parameters, the model can be used to predict the extent of the pest over time. An extended model predicts the climate restricted distribution of the pest in Queensland. These novel human-mediated movement models are well suited to demonstrating area freedom at coarse spatio-temporal scales. At finer scales, and in the presence of ecological complexity, exploratory models are developed to investigate the capacity for surveillance information to estimate the extent of red banded mango caterpillar. It is apparent that excessive uncertainty about observation and ecological parameters can impose limits on inference at the scales required for effective management of response programs. The thesis contributes novel statistical approaches to estimating the extent of pests and develops applications to assist decision-making across a range of plant biosecurity surveillance activities. Hierarchical Bayesian modelling is demonstrated as both a useful analytical tool for estimating pest extent and a natural investigative paradigm for developing and focussing biosecurity programs.

Show

Script for non-verbal performance. ----- ----- ----- Research Component: Silent Treatment: Creating Non-verbal Performance Works for Children ----- ----- ----- The research field of theatre for young people draws on theories of child development and popular culture. SHOW explored personal and social development, friendship and creative play through the lens of the experience of girls aged 8-12. This project consolidated and refined innovative approaches to creating non-verbal theatre performance, and addressed challenges inherent in the creation of a performance by adults for young audiences. A significant finding of the project was the unanticipated convergence of creative practice and research into child behaviour and development: the congruence of content (Female bullying) and theatrical form (non-verbal performance: “Within the hidden culture of aggression, girls fight with body language and relationships instead of fists and knives. In this world, friendship is a weapon, and the sting of a shout pales in comparison to a day of someone’s silence. There is no gesture more devastating than the back turning away Simmons, Rachel (2002:3) Odd Girl Out: The Hidden Culture Of Aggression In Girls Schwartz Books The creative development and drafting process focussed on negotiating the conceptual design and practical constraints of incorporating diegetic music and video sources into the narrative. The authorial (and production) challenges of creating a script that could facilitate the re-mount a non-verbal work for a company specialising in text-based theatre . ----- ----- ----- Show was commissioned by the Queensland Theatre Company in 2003, toured into Queensland Schools by the Queensland Arts Council and in 2004 was performed at the Sydney Opera House.

CRE workshop part I : comprehending the context

CRE (Corporate Real Estate) decisions should not simply deal with the management of individual facilities, but should especially be concerned with the relationships that a facility has with the corporate business strategy and with the larger real estate markets. Both the practice and the research of CRE management have historically tended to emphasize real estate issues and ignore the corporation’s business issues, causing real estate strategies to be disconnected from the goal and priorities of the corporation’s senior management. With regard to office cycles, a large number of econometric models have been proposed during the last 20 years. However, evidence from historical data and previous research in the field of real estate forecasting seem to agree only on one thing: the existence of interconnected property cycles that are concentrated on vacancy rates (demand). Vacancy also represents the linkage between the inadequacy of existing CRE strategies and the inability of existing econometric models to correctly forecast office rent cycles. Business cycles, across different industry sectors, have decreased from 5-7 years to 1-3 years today, yet corporations are still entering into leases of 5-10 years, causing hidden vacancy levels to rise. Possibly, once CRE strategies are totally in tune with the overall business, hidden vacancy will fade away providing forecasters with better quality data. The aim of this paper is not to investigate whether and when the supply-side will eventually evolve to provide flexible occupancy arrangements to accommodate corporate agility requirements, but rather to propose a general framework for corporations to improve the decision making process of their CRE executives, while emphasizing the importance of understanding the context as a precondition to effective real estate involvements.

Play in the city : Parkour and architecture

The ability to play freely in our cities is essential for sustainable wellbeing. When integrated successfully into our cities, Urban Play performs an important role; physically, socially and culturally contributing to the image of the city. While Urban Play is essential, it also finds itself in conflict with the city. Under modernist urban approaches play activities have become progressively segregated from the urban context through a tripartite of design, procurement and management practices. Despite these restrictions, emergent underground play forms overcome the isolation of play within urban space. One of these activities (parkour) is used as an evocative case study to reveal the hidden urban terrains of desire and fear as it re-interprets the fabric of the city, eliciting practice based discussions about procurement, design and management practice along its route.

Hypercapitalism : a political economy of informational idealism

In this this paper I identify specific historical trajectories that are directly contingent upon the deployment and use of new media, but which are actually hidden by a focus on the purely technological. They are: the increasingly abstract and alienated nature of economic value; the subsumption of all labour - material and intellectual - under systemic capital; and the convergence of formerly distinct spheres of analysis –the spheres of production, circulation, and consumption. This paper examines the implications of the knowledge economy from an historical materialist perspective. I synthesise the systemic views of Marx (1846/1972, 1875/1972 1970 1973 1976 1978 1981), Adorno (1951/1974 1964/1973 1991; Horkheimer and Adorno 1944/1998; Jarvis 1998), and Bourdieu (1991 1998) to argue for a language-focused approach to new media research and suggest aspects of Marxist thought which might be useful in researching emergent socio-technical domains. I also identify specific categories in the Marxist tradition which may no longer be analytically useful for researching the effects of new media.

The use of temporal speech and lip information for multi-modal speaker identification via multi-stream HMMs

Investigates the use of temporal lip information, in conjunction with speech information, for robust, text-dependent speaker identification. We propose that significant speaker-dependent information can be obtained from moving lips, enabling speaker recognition systems to be highly robust in the presence of noise. The fusion structure for the audio and visual information is based around the use of multi-stream hidden Markov models (MSHMM), with audio and visual features forming two independent data streams. Recent work with multi-modal MSHMMs has been performed successfully for the task of speech recognition. The use of temporal lip information for speaker identification has been performed previously (T.J. Wark et al., 1998), however this has been restricted to output fusion via single-stream HMMs. We present an extension to this previous work, and show that a MSHMM is a valid structure for multi-modal speaker identification

Contesting lost ground for the middle years in Australia : using the case study of Queensland

Over the past twenty years Australia has witnessed an extraordinary rise of the middle year’s movement. In more recent years, however, there is concern that middle years has fallen from the mainstream education agenda (Australian Research Alliance for Children and Youth, 2011). At a national level, evidence of this fall can be seen in the new national curriculum frameworks where reference to middle years is significantly absent, such as The Shape of the Australian Curriculum Version 2.0, (Australian Curriculum, Assessment and Reporting Authority, 2010). Evidence of the fall at a state level can be seen in Queensland Government’s 2015 commencement of junior secondary, rather than middle years, as outlined in A Flying Start for Queensland children: Why year 7 will be part of high school from 2015 (Queensland Government, 2011a). This announcement came after the Queensland government had undertaken an extensive consultation period exploring the possible uptake of middle years at a systemic level. While some may argue that middle years practices can be seen to be embedded in both the national curriculum and the junior secondary reform – it is the fact that middle years practices and philosophies are implicitly embedded (hidden) rather than being made explicitly and systematically mainstreamed (broadly accepted), that causes us grave concern. As such, we argue that this is clear indication that the middle years are being marginalized from the overarching educational agendas in Australia.

Leveraging Web 2.0 data for scalable semi-supervised learning of domain-specific sentiment lexicons

Since manually constructing domain-specific sentiment lexicons is extremely time consuming and it may not even be feasible for domains where linguistic expertise is not available. Research on the automatic construction of domain-specific sentiment lexicons has become a hot topic in recent years. The main contribution of this paper is the illustration of a novel semi-supervised learning method which exploits both term-to-term and document-to-term relations hidden in a corpus for the construction of domain specific sentiment lexicons. More specifically, the proposed two-pass pseudo labeling method combines shallow linguistic parsing and corpusbase statistical learning to make domain-specific sentiment extraction scalable with respect to the sheer volume of opinionated documents archived on the Internet these days. Another novelty of the proposed method is that it can utilize the readily available user-contributed labels of opinionated documents (e.g., the user ratings of product reviews) to bootstrap the performance of sentiment lexicon construction. Our experiments show that the proposed method can generate high quality domain-specific sentiment lexicons as directly assessed by human experts. Moreover, the system generated domain-specific sentiment lexicons can improve polarity prediction tasks at the document level by 2:18% when compared to other well-known baseline methods. Our research opens the door to the development of practical and scalable methods for domain-specific sentiment analysis.

Detection versus false alarm characterisation of a vision-based airborne dim-target collision detection system

This paper presents a preliminary flight test based detection range versus false alarm performance characterisation of a morphological-hidden Markov model filtering approach to vision-based airborne dim-target collision detection. On the basis of compelling in-flight collision scenario data, we calculate system operating characteristic (SOC) curves that concisely illustrate the detection range versus false alarm rate performance design trade-offs. These preliminary SOC curves provide a more complete dim-target detection performance description than previous studies (due to the experimental difficulties involved, previous studies have been limited to very short flight data sample sets and hence have not been able to quantify false alarm behaviour). The preliminary investigation here is based on data collected from 4 controlled collision encounters and supporting non-target flight data. This study suggests head-on detection ranges of approximately 2.22 km under blue sky background conditions (1.26 km in cluttered background conditions), whilst experiencing false alarms at a rate less than 1.7 false alarms/hour (ie. less than once every 36 minutes). Further data collection is currently in progress.