The arobase in the libr@ry : new political economies of children’s literatures and literacies

This essay--part of a special issue on the work of Gunther Kress--uses the idea of affordances and constraints to explore the (im)possibilities of new environments for engaging with literature written for children (see Kress, 2003). In particular, it examines a festival of children's literature from an Australian education context that occurs online. The festival is part of a technologically mediated library space designated by the term libr@ry (Kapitzke & Bruce, 2006). The @ symbol (French word "arobase") inserted into the word library indicates that technological mediation has a history, an established set of social practices, and a political economy, which even chatrooms with "real" authors may alter but not fully supplant.

Total rural land performance in a free trade economy

The importance of agriculture in many countries has tended to reduce as their economies move from a resource base to a manufacturing industry base. Although the level of agricultural production in first world countries has increased over the past two decades, this increase has generally been at a less significant rate compared to other sectors of the economies. Despite this increase in secondary and high technology industries, developed countries have continued to encourage and support their agricultural industries. This support has been through both tariffs and price support. Following pressure from developing economies, particularly through the World Trade Organisation (WTO), GATT Uruguay round and the Cairns Group Developed countries are now in various stages of winding back or de-coupling agricultural support within their economies. A major concern of farmers in protected agricultural markets is the impact of a free market trade in agricultural commodities on farm incomes and land values. This paper will analyse the capital and income performance of the NSW rural land market over the period 1990-1999. This analysis will be based on land use and will compare the total return from rural properties based on world agricultural commodity prices.

Globalist Fallacies, Fictions and Facts: The MAI and Neo-classic Ideology

There is little evidence, historical or otherwise, to suggest that the needs of people and societies change greatly over time. Whilst acknowledging the benefits of the many recent technological innovations that are part of the contemporary milieu, I am reluctant to see such advances as sufficient rationale for the dismantling of the social contract between a government and its citizenry. The Multilateral Agreement on Investment (MAI) highlights the move amongst developed countries to replace a national policy focus with a multilateral approach to global policy formulation that transcends the sovereignty of nation states. The purpose of this paper is to refute the assumptions underpinning multilateralist assertions that government has a diminishing role to play in the global society, and that national sovereignty, due to the increasingly important role of multilateral agreements and the global economy, is ‘a thing of the past’ (Arthur Asher, background briefing interview, Radio National, February 1, 1998). The basic premises that underpin the globalist argument1 for the diminishing role of government are that: • Economic growth increases jobs, prosperity, and freedom. • Free trade is an imperative for successful globalisation because financial sector performance - which depends on deregulation - is integral to global economic growth. • Information technology is revolutionising global trade and making globalisation inevitable. • Globalisation through deregulation, makes national boundaries meaningless, and therefore, national regulatory policies anachronistic. This paper compares the aforementioned axiomatic premises of globalisation to actual outcomes, events, and trends in the real world.

Hypercapitalism:Political economy, electric identity, and authorial alienation

Hypercapitalism, with its "knowledge economy", is the form of capitalism under which thought itself is produced, commodified, and exchanged within the globally integrated system of communication technologies. As such, hypercapitalism may be seen as not so much a revolution, but rather an evolution: the progressively thorough, inexorable totalisation of social relations by Capital. The study on which this paper is based synthesises the sociological perspectives of Marx (1970, 1844/1975, 1846/1972, 1976, 1978, 1981) and Adorno (1951/1974, 1991; Horkheimer & Adorno, 1944/1998), and the Critical Discourse perspectives of Fairclough (1989, 1992) and Lemke (1995) to argue that alienated thought and language are the fundamental, irreducible commodity-forms of Cybersociety’s knowledge economy.

Increasing the Information available to Coroners : the effect on autopsy decision making

This paper details research completed in 2007 which investigated autopsy decision making in a death investigation. The data was gathered during the first year of operation of a new Coroners Act in Queensland, Australia, which changed the process of death investigation in three ways which are important to this paper. First, it required a greater amount of information to be gathered at the scene by police, and this included a thorough investigation of the circumstances of the death, including statements from witnesses, friends and family, as well as evidence gathering at the scene. Second, it required Coroners, for the first time, to determine the level of invasiveness of the autopsy required to complete the death investigation. Third, it enabled the communication of a genuine family concern, to be communicated to the Coroner. The outcome of such information was threefold. First, a greater amount of information offered to the Coroner led to a decrease in the number of full internal autopsies ordered, but an increase in the number of partial internal autopsies ordered. Second, this shift in autopsy decision making by Coroners saw certain factors given greater importance than others in decisions to order full internal or external only autopsies. Third, a raised family concern had a significant impact on autopsy decision making and tended to decrease the invasiveness of the autopsy ordered by Coroners.

neXus2. An investigation into the library and information services workforce in Australia: The institutional perspective. Final report prepared for the Australian Library and Information Association and National and State Libraries Australia

The neXus2 research project has sought to investigate the library and information services (LIS) workforce in Australia, from the institutional or employer perspective. The study builds on the neXus1 study, which collected data from individuals in the LIS workforce in order to present a snapshot of the profession in 2006, highlighting the demographics, educational background and career details of library and information professionals in Australia. To counterbalance this individual perspective, library institutions were invited to participate in a survey to contribute further data as employers. This final report on the neXus2 project compares the findings from the different library sectors, ie academic libraries, TAFE libraries, the National and State libraries, public libraries, special libraries and school libraries.

Key organizational elements for effective information and knowledge management

Effective information and knowledge management (IKM) is critical to corporate success; yet, its actual establishment and management is not yet fully understood. We identify ten organizational elements that need to be addressed to ensure the effective implementation and maintenance of information and knowledge management within organizations. We define these elements and provide key characterizations. We then discuss a case study that describes the implementation of an information system (designed to support IKM) in a medical supplies organization. We apply the framework of organizational elements in our analysis to uncover the enablers and barriers in this systems implementation project. Our analysis suggests that taking the ten organizational elements into consideration when implementing information systems will assist practitioners in managing information and knowledge processes more effectively and efficiently. We discuss implications for future research.

Sampling perceptions; testing reality : an evidence-based approach to measurably improve information literacy and student research skills

Do commencing students possess the level of information literacy (IL) knowledge and skills they need to succeed at university? What impact does embedding IL within the engineering and design curriculum have? This paper reports on the self-perception versus the reality of IL knowledge and skills, across a large cohort of first year built environment and engineering students. Acting on the findings of this evaluation, the authors (a team of academic librarians) developed an intensive IL skills program which was integrated into a faculty wide unit. Perceptions, knowledge and skills were re-evaluated at the end of the semester to determine if embedded IL education made a difference. Findings reveal that both the perception and reality of IL skills were significantly and measurably improved.

Examining the use of bid information in predicting the contractor’s performance

Purpose – The purpose of this paper is to examine the use of bid information, including both price and non-price factors in predicting the bidder’s performance. Design/methodology/approach – The practice of the industry was first reviewed. Data on bid evaluation and performance records of the successful bids were then obtained from the Hong Kong Housing Department, the largest housing provider in Hong Kong. This was followed by the development of a radial basis function (RBF) neural network based performance prediction model. Findings – It is found that public clients are more conscientious and include non-price factors in their bid evaluation equations. With the input variables used the information is available at the time of the bid and the output variable is the project performance score recorded during work in progress achieved by the successful bidder. It was found that past project performance score is the most sensitive input variable in predicting future performance. Research limitations/implications – The paper shows the inadequacy of using price alone for bid award criterion. The need for a systemic performance evaluation is also highlighted, as this information is highly instrumental for subsequent bid evaluations. The caveat for this study is that the prediction model was developed based on data obtained from one single source. Originality/value – The value of the paper is in the use of an RBF neural network as the prediction tool because it can model non-linear function. This capability avoids tedious ‘‘trial and error’’ in deciding the number of hidden layers to be used in the network model. Keywords Hong Kong, Construction industry, Neural nets, Modelling, Bid offer spreads Paper type Research paper

Information enrichment for quality recommender systems

The explosive growth of the World-Wide-Web and the emergence of ecommerce are the major two factors that have led to the development of recommender systems (Resnick and Varian, 1997). The main task of recommender systems is to learn from users and recommend items (e.g. information, products or books) that match the users’ personal preferences. Recommender systems have been an active research area for more than a decade. Many different techniques and systems with distinct strengths have been developed to generate better quality recommendations. One of the main factors that affect recommenders’ recommendation quality is the amount of information resources that are available to the recommenders. The main feature of the recommender systems is their ability to make personalised recommendations for different individuals. However, for many ecommerce sites, it is difficult for them to obtain sufficient knowledge about their users. Hence, the recommendations they provided to their users are often poor and not personalised. This information insufficiency problem is commonly referred to as the cold-start problem. Most existing research on recommender systems focus on developing techniques to better utilise the available information resources to achieve better recommendation quality. However, while the amount of available data and information remains insufficient, these techniques can only provide limited improvements to the overall recommendation quality. In this thesis, a novel and intuitive approach towards improving recommendation quality and alleviating the cold-start problem is attempted. This approach is enriching the information resources. It can be easily observed that when there is sufficient information and knowledge base to support recommendation making, even the simplest recommender systems can outperform the sophisticated ones with limited information resources. Two possible strategies are suggested in this thesis to achieve the proposed information enrichment for recommenders: • The first strategy suggests that information resources can be enriched by considering other information or data facets. Specifically, a taxonomy-based recommender, Hybrid Taxonomy Recommender (HTR), is presented in this thesis. HTR exploits the relationship between users’ taxonomic preferences and item preferences from the combination of the widely available product taxonomic information and the existing user rating data, and it then utilises this taxonomic preference to item preference relation to generate high quality recommendations. • The second strategy suggests that information resources can be enriched simply by obtaining information resources from other parties. In this thesis, a distributed recommender framework, Ecommerce-oriented Distributed Recommender System (EDRS), is proposed. The proposed EDRS allows multiple recommenders from different parties (i.e. organisations or ecommerce sites) to share recommendations and information resources with each other in order to improve their recommendation quality. Based on the results obtained from the experiments conducted in this thesis, the proposed systems and techniques have achieved great improvement in both making quality recommendations and alleviating the cold-start problem.

Trajectories of broadband : the coming, going and return of broadband

As the paper’s subtitle suggests broadband has had a remarkably checkered trajectory in Australia. It was synonymous with the early 1990s information superhighway and seemed to presage a moment in which “content is [to be] king”. It disappeared almost entirely as a public priority in the mid to late 1990s as intrastructure and content were disconnected in services frameworks focused on information and communication technologies. And it came back in the 2000s as a critical infrastructure for innovation and the knowledge economy. But this time content was not king but rather an intermediate input at the service of innovating industries and processes. Broadband was a critical infrastructure for the digitally-based creative industries. Today the quality of the broadband infrastructure in Australia—itself an outcome of these different policy frameworks—is identified as “fraudband” holding back business, creativity and consumer uptake. In this paper I use the checkered trajectory of broadband on Australian political and policy horizons as a stepping off point to reflect on the ideas governing these changing governmental and public settings. This history enables me to explore how content and infrastructure are simultaneously connected and disconnected in our thinking. And, finally, I want to make some remarks about the way communication, particularly media communication, has been marginally positioned after being, initially so apparently central.

A Proposed Framework for Understanding Information Security Culture and Practices in the Saudi Context

An examination of Information Security (IS) and Information Security Management (ISM) research in Saudi Arabia has shown the need for more rigorous studies focusing on the implementation and adoption processes involved with IS culture and practices. Overall, there is a lack of academic and professional literature about ISM and more specifically IS culture in Saudi Arabia. Therefore, the overall aim of this paper is to identify issues and factors that assist the implementation and the adoption of IS culture and practices within the Saudi environment. The goal of this paper is to identify the important conditions for creating an information security culture in Saudi Arabian organizations. We plan to use this framework to investigate whether security culture has emerged into practices in Saudi Arabian organizations.

Information security culture : a behaviour compliance conceptual framework

Understanding the complex dynamic and uncertain characteristics of organisational employees who perform authorised or unauthorised information security activities is deemed to be a very important and challenging task. This paper presents a conceptual framework for classifying and organising the characteristics of organisational subjects involved in these information security practices. Our framework expands the traditional Human Behaviour and the Social Environment perspectives used in social work by identifying how knowledge, skills and individual preferences work to influence individual and group practices with respect to information security management. The classification of concepts and characteristics in the framework arises from a review of recent literature and is underpinned by theoretical models that explain these concepts and characteristics. Further, based upon an exploratory study of three case organisations in Saudi Arabia involving extensive interviews with senior managers, department managers, IT managers, information security officers, and IT staff; this article describes observed information security practices and identifies several factors which appear to be particularly important in influencing information security behaviour. These factors include values associated with national and organisational culture and how they manifest in practice, and activities related to information security management.

Mining Negative Relevance Feedback for Information Filtering

It is a big challenge to clearly identify the boundary between positive and negative streams. Several attempts have used negative feedback to solve this challenge; however, there are two issues for using negative relevance feedback to improve the effectiveness of information filtering. The first one is how to select constructive negative samples in order to reduce the space of negative documents. The second issue is how to decide noisy extracted features that should be updated based on the selected negative samples. This paper proposes a pattern mining based approach to select some offenders from the negative documents, where an offender can be used to reduce the side effects of noisy features. It also classifies extracted features (i.e., terms) into three categories: positive specific terms, general terms, and negative specific terms. In this way, multiple revising strategies can be used to update extracted features. An iterative learning algorithm is also proposed to implement this approach on RCV1, and substantial experiments show that the proposed approach achieves encouraging performance.

An effective model of using negative relevance feedback for information filtering

Over the years, people have often held the hypothesis that negative feedback should be very useful for largely improving the performance of information filtering systems; however, we have not obtained very effective models to support this hypothesis. This paper, proposes an effective model that use negative relevance feedback based on a pattern mining approach to improve extracted features. This study focuses on two main issues of using negative relevance feedback: the selection of constructive negative examples to reduce the space of negative examples; and the revision of existing features based on the selected negative examples. The former selects some offender documents, where offender documents are negative documents that are most likely to be classified in the positive group. The later groups the extracted features into three groups: the positive specific category, general category and negative specific category to easily update the weight. An iterative algorithm is also proposed to implement this approach on RCV1 data collections, and substantial experiments show that the proposed approach achieves encouraging performance.