Welcome to the republic

The thesis consists of a video documentary and an exegesis. The video was shot in a number of different styles to explore the complex issues that exist within the genre of documentary.

Australian and commonwealth republicanism

When republics, beginning with India in 1949, were first admitted to the Commonwealth of Nations, Australia remained strongly attached to the Crown and the King’s (later the Queen’s) role as Head of the Commonwealth. Indeed, many Australians had seen a shared Crown as axiomatic, and a symbol of Commonwealth unity. Despite bursts of republicanism in Australia during the 19th and 20th centuries, it was not until the 1990s that a republic appeared likely. One historic driver of anti-British Australian republicanism has been the Irish heritage of many Australians. As republicanism grew, it was important that Australia could remain in the Commonwealth as a republic. The past decade has seen a stronger sentiment in Australia than in the other ‘old Dominions’—New Zealand and Canada—that national independence and identity require the symbol of a home-grown head of state, rather than one seen as British. The growth of republicanism in such countries, and in Britain itself, would be likely to encourage republicanism in Australia. Australia’s republican majority has been frustrated by its inability to agree on a model for parliamentary selection or direct election of the president. No Commonwealth country provides a model which Australians find compelling.

Weather variability, tides, and Barmah Forest Virus Disease in the Gladstone region, Australia

In this study we examined the impact of weather variability and tides on the transmission of Barmah Forest virus (BFV) disease and developed a weather-based forecasting model for BFV disease in the Gladstone region, Australia. We used seasonal autoregressive integrated moving-average (SARIMA) models to determine the contribution of weather variables to BFV transmission after the time-series data of response and explanatory variables were made stationary through seasonal differencing. We obtained data on the monthly counts of BFV cases, weather variables (e.g., mean minimum and maximum temperature, total rainfall, and mean relative humidity), high and low tides, and the population size in the Gladstone region between January 1992 and December 2001 from the Queensland Department of Health, Australian Bureau of Meteorology, Queensland Department of Transport, and Australian Bureau of Statistics, respectively. The SARIMA model shows that the 5-month moving average of minimum temperature (β = 0.15, p-value < 0.001) was statistically significantly and positively associated with BFV disease, whereas high tide in the current month (β = −1.03, p-value = 0.04) was statistically significantly and inversely associated with it. However, no significant association was found for other variables. These results may be applied to forecast the occurrence of BFV disease and to use public health resources in BFV control and prevention.

Cross-correlations between weather variables in Australia

The information on climate variations is essential for the research of many subjects, such as the performance of buildings and agricultural production. However, recorded meteorological data are often incomplete. There may be a limited number of locations recorded, while the number of recorded climatic variables and the time intervals can also be inadequate. Therefore, the hourly data of key weather parameters as required by many building simulation programmes are typically not readily available. To overcome this gap in measured information, several empirical methods and weather data generators have been developed. They generally employ statistical analysis techniques to model the variations of individual climatic variables, while the possible interactions between different weather parameters are largely ignored. Based on a statistical analysis of 10 years historical hourly climatic data over all capital cities in Australia, this paper reports on the finding of strong correlations between several specific weather variables. It is found that there are strong linear correlations between the hourly variations of global solar irradiation (GSI) and dry bulb temperature (DBT), and between the hourly variations of DBT and relative humidity (RH). With an increase in GSI, DBT would generally increase, while the RH tends to decrease. However, no such a clear correlation can be found between the DBT and atmospheric pressure (P), and between the DBT and wind speed. These findings will be useful for the research and practice in building performance simulation.