Gathering for God : George Brown in Oceania

Combining 'the gathering of artefacts with the gathering of souls', George Brown was a key figure in the Christian, and especially the Wesleyan Methodist, history of nineteenth-century Oceania. Using his life as a case study, Helen Bethea Gardner examines the role of Christian missionaries in the Pacific Islands. Brown's career (1860-1908) spanned one of the most tumultuous political periods in the South Pacific, as one by one islands were colonised by imperial nations. He was one of the most politically engaged of all missionaries, encouraging colonial rule in the Pacific by America, Britain, Germany and, eventually, Australia and New Zealand. Originally from the north of England, he worked as a missionary in Samoa from 1860, moving to the Bismarck Archipelago (now Papua New Guinea) in 1875. From the 1880s until his retirement in 1907, he worked in Sydney as the general secretary of the Australasian Methodist Overseas Mission. Gathering for God examines Brown's missionary letters, journals and journalism, exploring how he attracted Pacific Islanders to Christian teachings, analysing his leadership during an armed attack on New Britain villages accused of cannibalism, and looking at his work in the new discipline of anthropology. He was a major collector of artefacts (his collection is now in the Osaka Museum) and photographer of Pacific peoples (his collection is in the Australian Museum).

Leisure experiences in tourist attractions : exploring the motivations of local residents

This study was conducted to explore leisure motivations with regard to tourist attractions. A survey of a convenience sample of residents of Melbourne, Australia, was conducted. The sample was then segmented based on the likelihood of visiting a cross-section of Melbourne's tourist attractions in the next 6 months. Analysis using Unger and Kernan's (1983) Subjective Leisure Scale (SLS) was then undertaken to explore whether there were differences across the segments in terms of their leisure motivations. The results highlight that, within this context, intrinsic satisfaction, perceived freedom and arousal emerged as stronger underlying dimensions of motivations to visit tourist attractions, rather than mastery, spontaneity and involvement. This information provides insights for marketers of tourist attractions with regard to what residents are seeking when they visit local tourist attractions. The information can be used to develop more positive experiences at tourist attractions for this important sector of the market.

Understanding the leisure motives of visitors to tourist attractions

In a period when tourism is contracting, and in a destination with an extensive range of visitor attractions, the importance of local residents visitation is accentuated. The aim of this study was to explore whether there are differences across segments of the local resident market in terms of their motives for engaging in leisure activities within the context of tourist attractions. This study was set within the context of Melbourne, Australia. Melbourne has changed in recent years in terms of the range of attractions available to residents. A sample of 1005 local residents was used as the basis of this study. Cluster analysis was used to segment the sample, based on the intended frequency of visitation to a set of attractions. The motives for engaging in leisure were then explored for each of the segments using Unger and Kernan's (1983) Subjective Leisure Scale (SLS), which encompasses six motivational domains namely intrinsic satisfaction, perceived freedom, arousal, mastery, involvement and spontaneity, was applied in this study of leisure activities was used as the basis of identifying the motives for visiting the attractions.

Improved questionnaire for gathering student perceptions of teaching and learning

An instrument used to gather university students’ perceptions of their learning environments, the Perceptions of Learning Environments Questionnaire (PLEQ) has been used recently in higher education research. The current paper examines the strengths and limitations of the PLEQ, particularly in relation to uncovering student perceptions about responsibility for their own learning. A study trialling a modified questionnaire, which
builds on the advances and addresses the limitations of the PLEQ, is reported.

An agent-based intelligent system for information gathering from world wide web environment

To use the vast amount of information efficiently and effectively from Web sites is very important for making informed decisions. There are, however, still many problems that need to be overcome in the information gathering research arena to enable the delivery of relevant information required by users. In this paper, an information gathering system is develop by means of multiple agents to solve those problems. We employed some ideas of Gaia's methodology and an open agent architecture to analyze and design the system. The system consists of a query preprocessing agent, information retrieval agent, information filtering agent, and information management agent. The filtering agent is trained with categorized documents and can provide users with the necessary information. The experimental results show that all agents in the system can work cooperatively to retrieve relevant information from the World Wide Web environment.

LAN cafes: cafes, places of gathering or sites of informal teaching and learning?

Despite the interest of sociologists and educational researchers in Internet café as sites for new cultural and social formations and informal learning, thus far little attention has been paid to the function of café owners, managers and other staff in the mediation and co-construction of those spaces. Drawing from interviews with managers of commercial Internet café in Australia specialising in LAN (Local Area Network) gaming, this article seeks to examine their role and their attitudes more closely; in particular with regard to school-aged users of their facilities. We contend that LAN café are liminal spaces situated at the margins of Australian culture and located at the junctions between home, school and the street, online and offline spaces, work and play. The roles of LAN café managers are similarly ambiguous: in many ways they can be regarded as informal teachers facilitating the process of informal learning.

Linking attitudes and demographics in a tourist segmentation model : a two-stage approach

Segmentation has been widely studied in tourism research e.g. Dolnicar (2004). Dawley (2006) points that commonly used segmentation variables such as demographics lead to identifiable segments which are not actionable while other useful approaches e.g. psychographics, are actionable but not identifiable. The objective of this paper is to develop a two-stage linkage approach to segmentation whereby cluster analysis using psychographic variables is conducted within demographic group. Demographic groups are selected based on propensity to travel. This research utilizes data generated from a cross-sectional self-completed survey of 49,105 Australian respondents on travel and tourism. The managerial usefulness of this segmentation is assessed. Clearly segments can be directly linked both demographically and psychographically.

Modeling intelligent agents for web-based information gathering

The recent emergence of intelligent agent technology and advances in information gathering have been the important steps forward in efficiently managing and using the vast amount of information now available on the Web to make informed decisions. There are, however, still many problems that need to be overcome in the information gathering research arena to enable the delivery of relevant information required by end users. Good decisions cannot be made without sufficient, timely, and correct information. Traditionally it is said that knowledge is power, however, nowadays sufficient, timely, and correct information is power. So gathering relevant information to meet user information needs is the crucial step for making good decisions. The ideal goal of information gathering is to obtain only the information that users need (no more and no less). However, the volume of information available, diversity formats of information, uncertainties of information, and distributed locations of information (e.g. World Wide Web) hinder the process of gathering the right information to meet the user needs. Specifically, two fundamental issues in regard to efficiency of information gathering are mismatch and overload. The mismatch means some information that meets user needs has not been gathered (or missed out), whereas, the overload means some gathered information is not what users need. Traditional information retrieval has been developed well in the past twenty years. The introduction of the Web has changed people's perceptions of information retrieval. Usually, the task of information retrieval is considered to have the function of leading the user to those documents that are relevant to his/her information needs. The similar function in information retrieval is to filter out the irrelevant documents (or called information filtering). Research into traditional information retrieval has provided many retrieval models and techniques to represent documents and queries. Nowadays, information is becoming highly distributed, and increasingly difficult to gather. On the other hand, people have found a lot of uncertainties that are contained in the user information needs. These motivate the need for research in agent-based information gathering. Agent-based information systems arise at this moment. In these kinds of systems, intelligent agents will get commitments from their users and act on the users behalf to gather the required information. They can easily retrieve the relevant information from highly distributed uncertain environments because of their merits of intelligent, autonomy and distribution. The current research for agent-based information gathering systems is divided into single agent gathering systems, and multi-agent gathering systems. In both research areas, there are still open problems to be solved so that agent-based information gathering systems can retrieve the uncertain information more effectively from the highly distributed environments. The aim of this thesis is to research the theoretical framework for intelligent agents to gather information from the Web. This research integrates the areas of information retrieval and intelligent agents. The specific research areas in this thesis are the development of an information filtering model for single agent systems, and the development of a dynamic belief model for information fusion for multi-agent systems. The research results are also supported by the construction of real information gathering agents (e.g., Job Agent) for the Internet to help users to gather useful information stored in Web sites. In such a framework, information gathering agents have abilities to describe (or learn) the user information needs, and act like users to retrieve, filter, and/or fuse the information. A rough set based information filtering model is developed to address the problem of overload. The new approach allows users to describe their information needs on user concept spaces rather than on document spaces, and it views a user information need as a rough set over the document space. The rough set decision theory is used to classify new documents into three regions: positive region, boundary region, and negative region. Two experiments are presented to verify this model, and it shows that the rough set based model provides an efficient approach to the overload problem. In this research, a dynamic belief model for information fusion in multi-agent environments is also developed. This model has a polynomial time complexity, and it has been proven that the fusion results are belief (mass) functions. By using this model, a collection fusion algorithm for information gathering agents is presented. The difficult problem for this research is the case where collections may be used by more than one agent. This algorithm, however, uses the technique of cooperation between agents, and provides a solution for this difficult problem in distributed information retrieval systems. This thesis presents the solutions to the theoretical problems in agent-based information gathering systems, including information filtering models, agent belief modeling, and collection fusions. It also presents solutions to some of the technical problems in agent-based information systems, such as document classification, the architecture for agent-based information gathering systems, and the decision in multiple agent environments. Such kinds of information gathering agents will gather relevant information from highly distributed uncertain environments.

Determinants of tourist expenditure in Fiji : a cointegration approach

Tourism is Fiji's largest industry in terms of foreign exchange earnings and employment creation. The industry earns around F$600 million per annum in foreign exchange, employs around 40,000 people, and tourist expenditure per capita is valued at around F$671. On the basis of this contribution, the industry is seen as a catalyst for economic development in Fiji; hence, it is imperative to understand the behavior of the industry. This article focuses on examining the determinants of tourist expenditure in Fiji. Using cointegration analysis and error correction models, the article finds that in the long run, real GDP in the country of origin impacts tourist spending in Fiji positively while prices and transport costs (airfares) have a negative effect. In the short run, coups d'êtat impact tourist expenditure negatively. It is envisaged that these results will help Fiji's policy makers and tourism industry stakeholders to understand the industry better.

The structure of tourist expenditure in Fiji : evidence from unit root structural break tests

The central aim of this paper is to investigate whether shocks to Fiji's tourism industry have a permanent effect or a transitory effect on tourist expenditure in Fiji. To accomplish this aim the Zivot and Andrews (1992) one break test and the Lumsdaine and Papell (1997) two break tests are used. The one break and two break tests reveal 1987 - the year of the military coups in Fiji - as the year of the break. Moreover, it is possible to reject the unit root null leading to the conclusion that shocks to Fiji's tourism industry have a transitory effect on tourist expenditure in Fiji.