21 resultados para Max Weber

em Deakin Research Online - Australia


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This article examines the notion of the 'scientist as a moral person' in the light of the early stages of the commodification of science and the transformation of research into a big enterprise, operating on the principle of the division of labour. These processes were set in train at the end of the 19th century. The article focuses on the concomitant changes in the public persona and the habitus of scientific entrepreneurs. I begin by showing the significance of the professional networks that were built up and maintained to further a group's research ideas and the careers of its members, thus demonstrating one condition on which depended their practice of science and their ability to earn a living. This leads to a characterization of the changing styles of work, thought and life, and to a consideration of public perceptions and of the ways in which a new self-image of scholarship and science was fashioned. A critical discussion of the public role of these mandarin scientists follows in order to highlight the strains created by the commodification of science at a time of international tensions and conflicts, when shared beliefs in scholarly cosmopolitanism were subverted by appeals to science and scholarship to work in the service of one's own nation as its 'courtiers'. Various considerations of peculiar analogies between national styles of research and the style of social organization are then noted. In the final section, the article queries the long-term impact of these developments on the ideal of the scientist as a 'moral person'. Taking a cue from Max Weber and pursuing reflections by Zygmunt Bauman on 'science moralized', I argue that the emergence of a type of 'specialists without spirit' was an unintended but fatal consequence of the changes in research practices promoted by scientific entrepreneurs such as Du Bois-Reymond. I conclude that the temptation to sever the ties to a general ethos of civil virtues lay in the rationalization, specialization and potential de-humanization of the objectifying scientific outlook once advocated for its efficiency.

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The paper uses the famous conclusion of Max Weber's Protestant Ethic and the Spirit of Capitalism to open up the debate about ethics and the role of the professional. The paper identifies the key concerns of Weber in his conclusion and considers the implications for the development of IT ethics and the IT professional and the development of a professional response.

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In this paper, a two-stage pattern classification and rule extraction system is proposed. The first stage consists of a modified fuzzy min-max (FMM) neural-network-based pattern classifier, while the second stage consists of a genetic-algorithm (GA)-based rule extractor. Fuzzy if-then rules are extracted from the modified FMM classifier, and a ??don't care?? approach is adopted by the GA rule extractor to minimize the number of features in the extracted rules. Five benchmark problems and a real medical diagnosis task are used to empirically evaluate the effectiveness of the proposed FMM-GA system. The results are analyzed and compared with other published results. In addition, the bootstrap hypothesis analysis is conducted to quantify the results of the medical diagnosis task statistically. The outcomes reveal the efficacy of FMM-GA in extracting a set of compact and yet easily comprehensible rules while maintaining a high classification performance for tackling pattern classification tasks.

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In this paper, typing biometrics is applied as an additional security measure to the password-based or Personal Identification Number (PIN)-based systems to authenticate the identity of computer users. In particular, keystroke pressure and latency signals are analyzed using the Fuzzy Min-Max (FMM) neural network for authentication purposes. A special pressure-sensitive keyboard is designed to collect keystroke pressure signals, in addition to the latency signals, from computer users when they type their passwords. Based on the keystroke pressure and latency signals, the FMM network is employed to classify the computer users into two categories, i.e., genuine users or impostors. To assess the effectiveness of the proposed approach, two sets of experiments are conducted, and the results are compared with those from statistical methods and neural network models. The experimental outcomes positively demonstrate the potentials of using typing biometrics and the FMM network to provide an additional security layer for the current password-based or PIN-based methods in authenticating the identity of computer users.

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This paper describes a novel adaptive network, which agglomerates a procedure based on the fuzzy min-max clustering method, a supervised ART (Adaptive Resonance Theory) neural network, and a constructive conflict-resolving algorithm, for pattern classification. The proposed classifier is a fusion of the ordering algorithm, Fuzzy ARTMAP (FAM) and the Dynamic Decay Adjustment (DDA) algorithm. The network, called Ordered FAMDDA, inherits the benefits of the trio, viz . an ability to identify a fixed order of training pattern presentation for good generalisation; stable and incrementally learning architecture; and dynamic width adjustment of the weights of hidden nodes of conflicting classes. Classification performance of the Ordered FAMDDA is assessed using two benchmark datasets. The performances are analysed and compared with those from FAM and Ordered FAM. The results indicate that the Ordered FAMDDA classifier performs at least as good as the mentioned networks. The proposed Ordered FAMDDA network is then applied to a condition monitoring problem in a power generation station. The process under scrutiny is the Circulating Water (CW) system, with prime attention to condition monitoring of the heat transfer efficiency of the condensers. The results and their implications are analysed and discussed.

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In this paper, a boosted Fuzzy Min-Max Neural Network (FMM) is proposed. While FMM is a learning algorithm which is able to learn new classes and to refine existing classes incrementally, boosting is a general method for improving accuracy of any learning algorithm. In this work, AdaBoost is applied to improve the performance of FMM when its classification results deteriorate from a perfect score. Two benchmark databases are used to assess the applicability of boosted FMM, and the results are compared with those from other approaches. In addition, a medical diagnosis task is employed to assess the effectiveness of boosted FMM in a real application. All the experimental results consistently demonstrate that the performance of FMM can be considerably improved when boosting is deployed.

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 An interactive exhibition, which recreates the Max Gallery and re-interprets two of Geelong's most renowned paintings (View of Geelong and A Bush Burial) through digital animation

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In this essay I elaborate on the theoretical framework – that of Millian liberalism – that Max Charlesworth brought to many public issues, including that of the relation between education and religion. I will then apply this framework to a debate in which I have been recently involved myself: a debate around the provision of religious instruction in public schools. In the first section I expound Charlesworth’s rejection of secularism in education in a liberal pluralist state and his defence of faith-based schooling. In the second section I uncover the religious motivations behind the Victorian government’s 1950 amendments to the apparently secularist Victorian Education Act of 1872. In section three, I explore the notion of secularism more fully and suggest that the struggle between those who espouse religious instruction in state schools and those who oppose it while advocating a more general form of education about religion is a symptom of a deeper tension between liberalism and communitarianism within the culture of modernist, liberal states.