3 resultados para Textual Theory


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Benefiting from design in theory learning is not common in architecture schools. The general practice is to design in studio and to theorise in lectures. In the undergraduate module History and Theory in Architecture II at Queen’s University Belfast, students attend interactive lectures, participate in reading group discussions, design TextObjects, and write essays. TextObjects contain textual, audio and/or graphic representations that highlight a single concept or a complex set of issues derived from readings. Students experiment with diverse media, such as filmmaking, photography, and graphic design, some of which they experience for the first time. Lectures and readings revolve around theories of architectural representation, media and communication, which are practiced through TextObjects. This is a new way to link theory and practice in architectural education. Through action research, this study analyses this innovative teaching method called TextObject, which brings design and practice into architectural theory education to stimulate students towards critical thinking. The pedagogical research of architectural theoretician Necdet Teymur (1992, 1996, 2002) underlies the study.

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This article considers the textual forces operating in Au Bonheur des Dames, Zola's 1883 novel on modern commerce. It proposes that, with its echoes of the disorderly impulses that governed the infamous prostitute Nana earlier in the Rougon-Macquart cycle, coupled with its appreciation of the benefits of regulation, the dynamics of controlled and contained prostitution constitute the energy which fuels an efficient and successful business model in Au Bonheur des Dames. By closely analyzing both texts as well as Zola's preparatory documents, and borrowing from Genette's theories of intertextuality, this study reads Nana as a pre-historic hypotext, buried in the textual chantier from which the structure of Au Bonheur des Dames emerges.

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Decision making is an important element throughout the life-cycle of large-scale projects. Decisions are critical as they have a direct impact upon the success/outcome of a project and are affected by many factors including the certainty and precision of information. In this paper we present an evidential reasoning framework which applies Dempster-Shafer Theory and its variant Dezert-Smarandache Theory to aid decision makers in making decisions where the knowledge available may be imprecise, conflicting and uncertain. This conceptual framework is novel as natural language based information extraction techniques are utilized in the extraction and estimation of beliefs from diverse textual information sources, rather than assuming these estimations as already given. Furthermore we describe an algorithm to define a set of maximal consistent subsets before fusion occurs in the reasoning framework. This is important as inconsistencies between subsets may produce results which are incorrect/adverse in the decision making process. The proposed framework can be applied to problems involving material selection and a Use Case based in the Engineering domain is presented to illustrate the approach. © 2013 Elsevier B.V. All rights reserved.