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Abstract

Classification is the essential first step in science. The study of science, as well as the practice of science, will thus benefit from a detailed classification of different types of science. In this book, science - defined broadly to include the social sciences and humanities - is first unpacked into its constituent elements: the phenomena studied, the data used, the theories employed, the methods applied, and the practices of scientists. These five elements are then classified in turn. Notably, the classifications of both theory types and methods allow the key strengths and weaknesses of different theories and methods to be readily discerned and compared. Connections across classifications are explored: should certain theories or phenomena be investigated only with certain methods? What is the proper function and form of scientific paradigms? Are certain common errors and biases in scientific practice associated with particular phenomena, data, theories, or methods? The classifications point to several ways of improving both specialized and interdisciplinary research and teaching, and especially of enhancing communication across communities of scholars. The classifications also support a superior system of document classification that would allow searches by theory and method used as well as causal links investigated.

Content

Inhalt: - Chapter 1: Classifying Science: 1.1. A Simple Classificatory Guideline - 1.2. The First "Cut" (and Plan of Work) - 1.3. Some Preliminaries - Chapter 2: Classifying Phenomena and Data: 2.1. Classifying Phenomena - 2.2. Classifying Data - Chapter 3: Classifying Theory: 3.1. Typology of Theory - 3.2. What Is a Theory? - 3.3. Evaluating Theories - 3.4. Types of Theory and the Five Types of Causation - 3.5. Classifying Individual Theories - 3.6. Advantages of a Typology of Theory - Chapter 4: Classifying Method: 4.1. Classifying Methods - 4.2. Typology of Strengths and Weaknesses of Methods - 4.3. Qualitative Versus Quantitative Analysis Revisited - 4.4. Evaluating Methods - 4.5. Classifying Particular Methods Within The Typology - 4.6. Advantages of a Typology of Methods - Chapter 5: Classifying Practice: 5.1. Errors and Biases in ScienceChapter - 5.2. Typology of (Critiques of) Scientific Practice - 5.3. Utilizing This Classification - 5.4. The Five Types of Ethical Analysis - Chapter 6: Drawing Connections Across These Classifications: 6.1. Theory and Method - 6.2. Theory (Method) and Phenomena (Data) - 6.3. Better Paradigms - 6.4. Critiques of Scientific Practice: Are They Correlated with Other Classifications? - Chapter 7: Classifying Scientific Documents: 7.1. Faceted or Enumerative? - 7.2. Classifying By Phenomena Studied - 7.3. Classifying By Theory Used - 7.4. Classifying By Method Used - 7.5 Links Among Subjects - 7.6. Type of Work, Language, and More - 7.7. Critiques of Scientific Practice - 7.8. Classifying Philosophy - 7.9. Evaluating the System - Chapter 8: Concluding Remarks: 8.1. The Classifications - 8.2. Advantages of These Various Classifications - 8.3. Drawing Connections Across Classifications - 8.4. Golden Mean Arguments - 8.5. Why Should Science Be Believed? - 8.6. How Can Science Be Improved? - 8.7. How Should Science Be Taught?

Footnote

Rez. in: KO 32(2005) no.2, S.93-95 (H. Albrechtsen): "The book deals with mapping of the structures and contents of sciences, defined broadly to include the social sciences and the humanities. According to the author, the study of science, as well as the practice of science, could benefit from a detailed classification of different types of science. The book defines five universal constituents of the sciences: phenomena, data, theories, methods and practice. For each of these constituents, the author poses five questions, in the well-known 5W format: Who, What, Where, When, Why? - with the addition of the question How? (Szostak 2003). Two objectives of the author's endeavor stand out: 1) decision support for university curriculum development across disciplines and decision support for university students at advanced levels of education in selection of appropriate courses for their projects and to support cross-disciplinary inquiry for researchers and students; 2) decision support for researchers and students in scientific inquiry across disciplines, methods and theories. The main prospective audience of this book is university curriculum developers, university students and researchers, in that order of priority. The heart of the book is the chapters unfolding the author's ideas about how to classify phenomena and data, theory, method and practice, by use of the 5W inquiry model. . . .

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Content

Enthält die Beiträge: Zins, C.: Knowledge map of information science: issues, principles, implications. - Lin, X., S. Aluker u. W. Zhu u.a.: Dynamic concept representation through a visual concept explorer. - Kohlbacher, F.: Knowledge organization(s) in Japan: empirical evidence from Japanese and western corporations. - Beghtol, C.: The global learning society and the iterative relationship between theory and practice in knowledge organization systems. - Tennis, J.T.: Function, purpose, predication, and context of information organization frameworks. - Doyle, A.: Naming and reclaiming knowledges in public intersections of landscapes and experience. - Qin, J., P. Creticos u. W.Y. Hsiao: Adaptive modeling of workforce domain knowledge. - Gnoli, C.: The meaning of facets in non-disciplinary classifications. - Loehrlein, A., E.K. Jacob u. S. Lee u.a.: Development of heuristics in a hybrid approach to faceted classification. - Thellefsen, M.: The dynamics of information representation and knowledge mediation. - LaBarre, K.: A multi faceted view: use of facet analysis in the practice of website organization and access. - Smiraglia, R.P.: Empiricism as the basis for metadata categorisation: expanding the case for instantiation with archival documents. - Bean, C.A.: Hierarchical relationships used in mapping between knowledge structures. - Friedman, A.: Concept mapping a measurable sign. - Naumis Pena, C.: Evaluation of educational thesauri. - Biagetti, M.T.: Indexing and scientific research needs. - Robert, C.A., A. Davis: Annotation and its application to information research in economic intelligence. - Mcllwaine, I.C., J.S. Mitchel: The new ecumenism: exploration of a DDC / UDC view of religion. - Hajdu Barát, A.: Usability and the user interfaces of classical information retrieval languages. - Eito Brun, R.: Uncovering hidden clues about geographic visualization in LCC. - Williamson, N.J.: Knowledge structures and the Internet progress and prospects. - Pajarillo, E.J.Y.: A classification scheme to determine medical necessity: a knowledge organization global learning application. - López-Huertas, M.J.: Thematic map of interdisciplinary domains based on their terminological representation: the gender studies. - Rodriguez Bravo, B.: The visibility of women in indexing languages. - Beall, J., D. Vizine-Goetz: Finding fiction: facilitating access to works of the imagination scattered by form and format. - Kwasnik, B.H., Y.L. Chun u. K. Crowston u.a.: Challenges in ceating a taxonomy of genres of digital documents. - Simon, J.: Interdisciplinary knowledge creation: using wikis in science. - Gabel, J.: Improving information retrieval of subjects through citation-analysis: a study. - Lee, H.L.: Navigating hierarchies vs. searching by keyword: two cultural perspectives. - Loehrlein, A., R. Martin u. E.L. Robertson: Integration of international standards in the domain of manufacturing enterprise. -

Date

27.12.2008 11:22:36

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Date

22. 5.2007 12:07:51

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Date

22. 5.2007 10:37:38

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Date

22. 3.2008 17:56:19

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Footnote

Over the course of the book, a number of misconceptions haunting taxonomy work are addressed and carefully dispelled. 'taxonomy development is often thought to be an abstract task of analyzing and classifying entities, performed in complete isolation. On the contrary, taxonomies are to a large extent products of users' perceptions and worldviews, strongly influenced by the pre-existing information infrastructure. They can also be dangerous tools having the potential to reveal and clarify but also to exclude and conceal critical details that can have a large impact on basic business activities such as managing risk, controlling costs, understanding customers and supporting innovation. If the first part of the hook introduces concepts, provides definitions and challenges wrong assumptions about taxonomies and the work of taxonomy-building, the second one takes us step-by-step through a typical project. From here on, insights become part of practicable frameworks that form the basis of a concrete information-management strategy and process so flexible so as to be used in very different organizational environments and scenarios. Starting from the definition of stakeholders, purpose and scope and ending with deployment, validation and governance, a taxonomy-building project is realistically presented as an iterative and fascinating journey over competing needs, changing goals, mixed cues and technical and cognitive constraints. Beyond introducing fundamental guiding principles and addressing relevant implementation challenges, Organising Knowledge provides a large dose of political and pragmatic advice to make your efforts useful in contributing to the overall knowledge and information infrastructure. Taxonomies, much like architect's blueprints, only represent theory until they are implemented in practice involving real people and real content. As Lambe explains, this step requires crossing over to the other side of the barricade, wearing the user's shoes and constructing an information neighborhood, designing and populating a metadata framework, solving usability issues and successfully dealing with records management and information architecture concerns.