Components and Levels of Abstraction in Nursing Knowledge
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Framing University Small Group Talk: Knowledge Construction Through Lexical Concepts
FRAMING UNIVERSITY SMALL GROUP TALK: KNOWLEDGE CONSTRUCTION THROUGH LEXICAL CONCEPTS YUN PAN Thesis submitted for the degree of Doctor of Philosophy Integrated PhD in Educational and Applied Linguistics Newcastle University Faculty of Humanities and Social Sciences School of Education, Communication and Language Sciences November 2017 i ii DECLARATION I hereby certify that this thesis is based on my original work. All the quotations and citations have been duly acknowledged. I also declare that this thesis has not been previously or currently submitted for any other degree at Newcastle University or other institutions. Name: Yun PAN Signature: Date: 22/11/2017 iii ABSTRACT Knowledge construction in educational discourse continues to interest practitioners and researchers due to the conceptually “natural” connection between knowledge and learning for professional development. Frames have conceptual and practical advantages over other units of inquiry concerning meaning negotiation for knowledge construction. They are relatively stable data-structures representing prototypical situations retrieved from real world experiences, cover larger units of meaning beyond the immediate sequential mechanism at interaction, and have been inherently placed at the semantic-pragmatic interface for empirical observation. Framing in a particular context – university small group talk has been an under- researched field, while the relationship between talk and knowledge through collaborative work has been identified below/at the Higher Educational level. Involving higher level cognitive activities and distinct interactional patterns, university small group talk is worth close examination and systematic investigation. This study applies Corpus Linguistics and Interactional Linguistics approaches to examine a subset of a one-million-word corpus of university small group talk at a UK university. -
The Holonic Enterprise As a Collaborative Information Ecosystem Mihaela Ulieru Scott S
The Holonic Enterprise as a Collaborative Information Ecosystem Mihaela Ulieru Scott S. Walker Robert W. Brennan University of Calgary Intelligent Systems Group (same) (same) 2500 University Drive N.W. Calgary, AB, Canada T2N 1N4 Phone: +1-403-220-8616 Phone: +1-403-220-5798 Phone: +1-403-220-2991 [email protected] [email protected] [email protected] http://isg.enme.ucalgary.ca/ ABSTRACT In today’s e-conomy the only chance for prosperity is to exploit optimally the emerging technologies based on which a new kind Holonic Resource of infrastructure facilitates strategic partnerships among cyber- Enterprise Enterprise CE highway enabled participants. This paper merges the latest results EC CE E E obtained by the Holonic Manufacturing Systems (HMS) E Consortium with the latest developed standards for platform EC E E CE Resource interoperability released by the Foundation for Intelligent E Resource EC Physical Agents (FIPA) to propose a novel e-business model: the E E Resource E Holonic E-nterprise. Including the e-marketplace and e-factory as CE Resource sub-models, this new paradigm links the three levels of a global EC CE Dynamic E E collaborative organization (inter-enterprise, intra-enterprise and E EC Enterprise E E Virtual machine level) to build a web-centric ecosystem partnering in E Clusters which the workflow is harmoniously managed. After clarifying CE Resource CE the proposed concept we define a mapping between holons and EC Resource E E EC agents, introducing the concept of mediator. We identify several E CE E E E patterns of holonic collaboration and throughout the paper Resource EC E E identify their particularities at each level. -
Paradigm for the Sociology of Knowledge 1945
1 Paradigm for the Sociology of Knowledge 1945 The last generation has witnessed the emergence of a special field of sociological inquiry: the sociology of knowledge (Wissenssoziologie). The term “knowledge” must be interpreted very broadly indeed, since studies in this area have dealt with virtually the entire gamut of cultural products (ideas, ideologies, juristic and ethical beliefs, philosophy, science, tech nology). But whatever the conception of knowledge, the orientation of this discipline remains largely the same: it is primarily concerned with the relations between knowledge and other existential factors in the society or culture. General and even vague as this formulation of the central purpose may be, a more specific statement will not serve to include the diverse approaches which have been developed. Manifestly, then, the sociology of knowledge is concerned with problems that have had a long history. So much is this the case, that the discipline has found its first historian, Ernst Gruenwald.1 But our primary concern is not with the many antecedents of current theories. There are indeed few present-day observations which have not found previous expression in suggestive aperçus. King Henry IV was being reminded that “Thy wish was father, Harry, to that thought” only a few years before Bacon was writing that “The human understanding is no dry light but receives an Originally published as “Sociology of Knowledge,” in Georges Gurvitch and Wil bert E. Moore, eds., Twentieth-Century Sociology (New York: Philosophical Li brary, 1945), pp. 366-405. Reprinted with permission. 1. Nothing will be said of this history in this paper. -
Social Holons and Their Epistemology
Social holons and their epistemology Nicholas Paritsis Laboratory of Cybernetics and Systems Behavior, Department of Psychiatry and Behavioral Sciences School of Medicine, University of Crete, Crete, Greece [email protected] Abstract : A description of a social system at least at three levels, namely at the level of the elements, of their properties and that as a whole with its emergent properties is considered beneficial. A social system can be defined as the interdependent and interacting sets of persons and their artifacts, of their properties, of their relations including their communication, and of the social system emergent properties including culture, in the context of their social and physical environment. Social holons here are considered social systems that are organized in holons. A family, a community, a town, a county, a nation, a sociocultural system belong to social holons. Each holon influence the others Living systems as open systems have a continuous interaction and adaptation to their environments together with their effort to control and benefit from it. Hence the perception of the environment in a realistic way in order to survive control and adapt is important. The presented property of auto-synthesis in living intelligence enables the system to maintain itself against the changes of the environment and at the same time adapt itself, namely its structure, function and behavior, towards its compatibility with its environment. The living system does not freely construct its reality but it forms and synthesize a reality to the extent that enables it to control and be adapted to its environment. The epistemology of social holons will be examined from three aspects. -
Conceptual Modelling and Humanities
Joint Proceedings of Modellierung 2020 Short, Workshop and Tools & Demo Papers Modellierung 2020: Short Papers 13 Conceptual Modelling and Humanities Yannic Ole Kropp,1 Bernhard Thalheim2 Abstract: Humanities are becoming a hyping field of intensive research for computer researchers. It seems that conceptual models may be the basis for development of appropriate solutions of digitalisation problems in social sciences. At the same time, humanities and social sciences can fertilise conceptual modelling. The notion of conceptual models becomes enriched. The approaches to modelling in social sciences thus result in a deeper understanding of modelling. The main aim of this paper is to learn from social sciences for conceptual modelling and to fertilise the field of conceptual modelling. 1 The Value of Conceptual Modelling 1.1 Computer science is IT system-oriented Computer system development is a complex process and needs abstraction, separation of concerns, approaches for handling complexity and mature support for communication within development teams. Models are one of the main artefacts for abstraction and complexity reduction. Computer science uses more than 50 different kinds of modelling languages and modelling approaches. Models have thus been a means for system construction for a long time. Models are widely used as an universal instrument whenever humans are involved and an understanding of computer properties is essential. They are enhanced by commonly accepted concepts and thus become conceptual models. The main deployment scenario for models and conceptual models is still system construction (with description, prescription, and coding sub-scenarios) although other scenarios became popular, e.g. documentation, communication, negotiation, conceptualisation, and learning. 1.2 Learning from Digital Hunanities Digital humanities is becoming a hyping buzzword nowadays due to digitalisation and due to over-applying computer technology. -
Crossing the Boundaries? Dynamics of Contention Viewed from the Angle of a Comparative Historian
IRSH 49 (2004), pp. 122–131 DOI: 10.1017/S002085900300141X # 2004 Internationaal Instituut voor Sociale Geschiedenis Crossing the Boundaries? Dynamics of Contention Viewed from the Angle of a Comparative Historian Thomas Welskopp Comparative social history is still grappling with the problems raised in the debate about history’s ‘‘cultural turn’’. And while a new ‘‘social turn’’ seems imminent at the moment, this means a new departure into an actor- oriented analysis of institutions (including social movements and all forms of contentious politics) beyond the ‘‘cultural turn’’, incorporating a host of compelling insights into the cultural constitution of social reality – and not a return to the old simplistic views of the ‘‘modernization era’’. With their undoubtedly quite innovative book, Dynamics of Conten- tion, Doug McAdam, Sidney Tarrow, and Charles Tilly move within a slightly different discourse – that within the macrosociological study of collective action and social movements – in order to revolutionize what they call the ‘‘classical agenda’’ in comparative sociology and political studies. Saying this, I do not intend to redraw disciplinary boundaries between history and sociology. My argument is rather that Dynamics of Contention both challenges comparative history and presents an invitation – a suggestion to solve many of the problems that had come up during the debate over the ‘‘cultural turn’’ in history. This is the more so as the authors themselves explicitly relate to history in three respects. First, they want their work to be recognized as historical study. This is to be granted by any means. Second, the authors openly intend to bridge the gap between sociological and historical comparison. -
Conceptual Model Evaluation. Towards More Paradigmatic Rigor Jan Recker1
Conceptual Model Evaluation. Towards more Paradigmatic Rigor Jan Recker1 1 Centre for Information Technology Innovation Queensland University of Technology 126 Margaret Street, Brisbane QLD 4000, Australia [email protected] Abstract. Information Systems (IS) research has so far been primarily con- cerned with the development of new modeling languages, techniques, and methods. Also, evaluation approaches have been developed in order to assess the appropriateness of a modeling approach in a given context. Both modeling and evaluation approaches, however, lack epistemological rigor, leading to problems regarding the applicability of a certain modeling language in a given context on the one hand, and regarding the feasibility of certain evaluation ap- proaches towards certain modeling questions on the other hand. We therefore argue for a philosophical-paradigmatic discussion of evaluation methods for conceptual modeling languages in order to assess their applicability in given modeling contexts and present our research in progress towards a framework for paradigmatic discussion on model evaluation. Keywords. Philosophy, modeling methods, information modeling, research evaluation 1 Introduction The importance of information systems (IS) for successful businesses is widely rec- ognized [1]. Their implementation is preceded by their development through design methodologies which utilize information models to specify IS on a conceptual level. Such conceptual models have been successfully employed throughout IS theory and practice. This has led, however, to the proliferation of an enormous amount of avail- able modeling approaches. The “flooding” of the IS discipline with a multiplicity of conceptual modeling approaches consequently leads to an immanent need for com- paring and evaluating existing modeling methods in order to determine which ap- proach is most appropriate for a given modeling task. -
Conceptual Modeling
Conceptual Modeling Laurens Van Damme Table of contents • What are Conceptual models? • Conceptualization • Mental model • Conceptual model • How are Conceptual models different from others? • Nonnecessity • Requirements 2 What are Conceptual models? 3 Overview 4 Overview We all know what this is! 5 Overview 6 Conceptualization = set of concepts in the mind of an agent 7 Concept • Aristotle ±340BC • Cognitive processes ↳ makes, uses and transforms ↳ mental representations • Mental representations • Refer to / are about something • Non-conceptual (sensation) • Conceptual (thoughts/believes) https://www.nytimes.com/2016/05/27/world/europe/greece-aristotle-tomb.html 8 Concept Conceptual mental representation → Rely on representation primitives = concepts Concept • Reflects regularities in reality that are cognitively relevant to us • Cognitive filter → strip out properties unnecessary for the problem 9 Concept Example Navigating on the Belgian’s highways Ordering of road segments Road segment Intersection between road segments Filtered: width, distance of or traffic on the road segments https://en.wikipedia.org/wiki/List_of_motorways_in_Belgium 10 Conceptualization = set of concepts in the mind of an agent • Individual concepts (e.g., E19) • Relational concepts: associations that relate individual concepts https://thesaurus.plus/antonyms/conceptualization 11 Overview 12 Mental Model The external reality filtered through the lens of a conceptualization Different levels of generality: • Reflect general beliefs (e.g., every road segment has -
Chapter Six Evolutionary Progress in Nature
The following text is excerpted from the book: Evolution's Purpose—an integral interpretation of the scientific story of our origins by Steve McIntosh; published by SelectBooks, New York ISBN 978-1-59079-220-9 (Hardcover) © 2012 Steve McIntosh, all rights reserved. Chapter Six Evolutionary Progress in Nature .../snip/... The Value of Wholes and Parts As we are coming to see, one of the primary catalysts that is causing the emergence of this new evolutionary worldview is a deeper understanding of evolution itself. And at the heart of this deeper understanding is a recognition of how the process of evolution generates value naturally and prolifically as it unfolds. To demonstrate this point, in this section we will examine evolution's trend toward increasing quality using two crucial concepts that are central to integral philosophy. The first concept focuses on the structural pattern produced by evolutionary emergence, and the second concept reveals how this expanding structure of emergence produces complementary forms of intrinsic and instrumental value. Our analysis begins by reexamining evolution's natural hierarchy of developmental levels. In chapter 1, we saw how the process of evolution as a whole has manifested itself through three major domains or primary levels of emergence (physical, biological, and cultural), with each domain itself unfolding through a nested sequence of emerging levels. This hierarchical structure is formed by evolution's basic technique of building increasingly more complex systems upon simpler foundational systems. Although science did not begin to study the processes or structures of emergence until the twentieth century, the deeper meaning of this hierarchical ordering pattern has intrigued philosophers throughout history. -
Study on Analysis of the Theoretical Abstraction of Economic Sociology and Embeddedness on Economic Action
Tiantian Tang et al., IJSR, 2019; 3:34 Research Article IJSR (2019) 3:34 International Journal of Social Research (ISSN:2576-5531) Study on Analysis of the Theoretical Abstraction of Economic Sociology and Embeddedness on Economic Action Tiantian Tang Dongbei University of Finance and Economics, No. 217 jianshan street, dalian, liaoning, China. ABSTRACT Economics believes that economic behavior in the pursuit of *Correspondence to Author: interests will not involve any social behavior or relationship. Tiantian Tang However, with the continuous development of society, personal Dongbei University of Finace and economic behavior does not fully encourage and atomize, but Economics, No.217 jiangshan a clock is in the process of changing social relations. From the street, dalian, liaoning, China. perspective of economic sociology, starting from the perspective of embeddedness, expounding and explaining economic behavior, and proposing several theoretical abstract researches How to cite this article: on “economic behavior”, in order to provide some guidance and Tiantian Tang. Study on Analysis of help for relevant researcher. the Theoretical Abstraction of Eco- nomic Sociology and Embedded- Keywords: Economic sociology; Embeddedness; Economic ness on Economic Action. Interna- behavior; Theoretical abstraction tional Journal of Social Research, 2019; 3:34 eSciPub LLC, Houston, TX USA. Website: http://escipub.com/ IJSR: Http://escipub.com/international-journal-of-social-research/ 1 Tiantian Tang. et al., IJSR, 2019; 3:34 1 . Introduction activities, There are many economic problems One of the most enduring topics in social eco- in economic behavior. For example, in the last nomics is the critical evaluation of economics. century, for the issue of trust, although eco- To be more precise, economic sociology is a nomic actors are keen to pursue personal in- unified definition of the critical process of eco- terests, But opportunistic behavior is difficult to nomic modelling strategies. -
On Using Conceptual Modeling for Ontologies
On Using Conceptual Modeling for Ontologies S. Spaccapietra1, C. Parent2, C.Vangenot1 and N. Cullot3 1 Database Laboratory, EPFL, 1015 Lausanne, Switzerland [email protected], [email protected] 2 HEC-INFORGE, University of Lausanne, 1015 Lausanne, Switzerland [email protected] 3LE2I Laboratory of Business, University of Burgundy, 21000 Dijon, France [email protected] Abstract. Are database concepts and techniques suitable for ontology design and management? The question has been on the floor for some time already. It gets a new emphasis today, thanks to the focus on ontologies and ontology services due to the spread of web services as a new paradigm for information management. This paper analyzes some of the arguments that are relevant to the debate, in particular the question whether conceptual data models would adequately support the design and use of ontologies. It concludes suggesting a hybrid approach, combining databases and logic-based services.1 1. Introduction Nowadays, all major economic players have decentralized organizational structures, with multiple autonomous units acting in parallel. New information systems have to handle a variety of information sources, from proprietary ones to those available in web services worldwide. Their complexity is best controlled using a network of coordinated web services capable of grasping relevant information wherever it may be and exchanging information with all potential partners. Data semantics is at the heart of such multi-agent systems. Interacting agents in an open environment do not necessarily share a common understanding of the world at hand, as used to be the case in traditional enterprise information systems. -
The Critique of Real Abstraction: from the Critical Theory of Society to the Critique of Political Economy and Back Again
The Critique of Real Abstraction: from the Critical Theory of Society to the Critique of Political Economy and Back Again Chris O’Kane John Jay, CUNY [email protected] There has been a renewed engagement with the idea of real abstraction in recent years. Scholars associated with the New Reading of Marx, such as Moishe Postone, Chris Arthur, Michael Heinrich, Patrick Murray, Riccardo Bellofiore and others,1 have employed the idea in their important reconstructions of Marx’s critique of political economy. Alberto Toscano, Endnotes, Jason W. Moore and others have utilized and extended these theorizations to concieve of race, gender, and nature as real abstractions. Both the New Reading and these new theories of real abstraction have provided invaluable work; the former in systematizing Marx’s inconsistent and unfinished theory of value as a theory of the abstract social domination of capital accumulation and reproduction; the latter in supplementing such a theory. Yet their exclusive focus on real abstraction in relation to the critique of political economy means that the critical marxian theories of real abstraction -- developed by Alfred Sohn- Rethel, Theodor W. Adorno and Henri Lefebvre -- have been mostly bypassed by the latter and have largely served as the object of trenchant criticism for their insufficient grasp of Marx’s theory of value by the former. Consequently these new readings and new theories of real abstraction elide important aspects of Sohn-Rethel, Adorno and Lefebvre’s critiques of real abstraction; which sought to develop Marx’s critique of political economy into objective-subjective critical theories of the reproduction of capitalist society.2 However, two recent works by 1 Moishe Postone’s interpretation of real abstraction will be discussed below.