Results for 'knowledge generation'

973 found
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  1. Considering the nature of Knowledge Generation.Michael Fascia - manuscript
    Contemporary theory surrounding knowledge generation linked to knowledge transfer practice and process is extensive, and has been fruitful in delivering many useful and recognised frameworks. In this regards authenticity for managerial governance and/or remedial programmes for business efficiency and delivery, derive resource legitimacy from many of these frameworks as a direct consequence of theoretical strategy. Underlying these views is the belief that texts and practices carry with them the codes necessary for their own decoding and, therefore, enable (...)
     
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  2. Knowledge Generation as Natural Computation.Gordana Dodig-Crnkovic - 2008 - Journal of Systemics, Cybernetics and Informatics 6 (2).
    Knowledge generation can be naturalized by adopting computational model of cognition and evolutionary approach. In this framework knowledge is seen as a result of the structuring of input data (data → information → knowledge) by an interactive computational process going on in the agent during the adaptive interplay with the environment, which clearly presents developmental advantage by increasing agent’s ability to cope with the situation dynamics. This paper addresses the mechanism of knowledge generation, a (...)
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  3. 3.4. Ethical Issues in the Generation and Utilisation of Knowledge in Biotechnology.What To Generate - forthcoming - Bioethics in Asia: The Proceedings of the Unesco Asian Bioethics Conference (Abc'97) and the Who-Assisted Satellite Symposium on Medical Genetics Services, 3-8 Nov, 1997 in Kobe/Fukui, Japan, 3rd Murs Japan International Symposium, 2nd Congress of the Asi.
     
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  4. Beyond subgoaling: A dynamic knowledge generation framework for creative problem solving in cognitive architectures.Antonio Lieto - 2019 - Cognitive Systems Research 58:305-316.
    In this paper we propose a computational framework aimed at extending the problem solving capabilities of cognitive artificial agents through the introduction of a novel, goal-directed, dynamic knowledge generation mechanism obtained via a non monotonic reasoning procedure. In particular, the proposed framework relies on the assumption that certain classes of problems cannot be solved by simply learning or injecting new external knowledge in the declarative memory of a cognitive artificial agent but, on the other hand, require a (...)
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  5.  29
    Investigative research as a knowledge-generation method: Discovering and uncovering.H. O. Fai, H. O. Hung & N. G. Man - 2006 - Journal for the Theory of Social Behaviour 36 (1):17–38.
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  6.  86
    The experimenters' regress reconsidered: Replication, tacit knowledge, and the dynamics of knowledge generation.Uljana Feest - 2016 - Studies in History and Philosophy of Science Part A 58:34-45.
    This paper revisits the debate between Harry Collins and Allan Franklin, concerning the experimenters’ regress. Focusing my attention on a case study from recent psychology (regarding experimental evidence for the existence of a Mozart Effect), I argue that Franklin is right to highlight the role of epistemological strategies in scientific practice, but that his account does not sufficiently appreciate Collins’s point about the importance of tacit knowledge in experimental practice. In turn, Collins rightly highlights the epistemic uncertainty (and skepticism) (...)
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  7.  26
    Values and Decisions: Cognitive and Noncognitive Values in Knowledge Generation and Decision Making.José Luis Luján & Oliver Todt - 2014 - Science, Technology, and Human Values 39 (5):720-743.
    The relevance of scientific knowledge for science and technology policy and regulation has led to a growing debate about the role of values. This article contributes to the clarification of what specific functions cognitive and noncognitive values adopt in knowledge generation and decisions, and what consequences the operation of values has for policy making and regulation. For our analysis, we differentiate between three different types of decision approaches, each of which shows a particular constellation of cognitive and (...)
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  8.  51
    Toward Epistemic Justice: A Critically Reflexive Examination of ‘Sanism’ and Implications for Knowledge Generation.Stephanie LeBlanc & Elizabeth Anne Kinsella - 2016 - Studies in Social Justice 10 (1):59-78.
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  9.  12
    Handbook of research on transdisciplinary knowledge generation.Victor C. X. Wang (ed.) - 2019 - Hershey, PA: Information Science Reference.
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  10.  26
    Investigative Research As a Knowledge-Generation Method: Discovering and Uncovering.David Yau Fai Ho, Rainbow Tin Hung Ho & Siu Man Ng - 2006 - Journal for the Theory of Social Behaviour 36 (1):17-38.
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  11. The Limits of Knowledge: Generating Pragmatist Feminist Cases for Situated Knowing by Nancy Arden McHugh, 2015 Albany, NY, State University of New York Press. xii + 189 pp, US$75 , US$75. [REVIEW]Trystan S. Goetze - 2016 - Journal of Applied Philosophy 33 (3):344-346.
  12.  30
    Right Answer, Wrong Question: Special Access, Knowledge Generation, and Clinical Trial Legitimacy.Christopher Lowry - 2014 - American Journal of Bioethics 14 (11):22-24.
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  13.  11
    Next generation knowledge machines: design and architecture.Syed V. Ahamed - 2013 - Amsterdam: Elsevier.
    Deals with topics and insight into the design and architecture of next-generation computing systems that deal with human and social problems. Processor and Internet technologies form the subject matter and focal point, while information and knowledge on the Internet delivered by next-generation mobile networks form the technical core presented.
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  14.  71
    The Generation of Knowledge from Multiple Testimonies.Aviezer Tucker - 2016 - Social Epistemology 30 (3):251-272.
    The article presents, develops, and defends a non-reductionist model of the generation of knowledge from multiple testimonies. It distinguishes the generation of knowledge from multiple testimonies from the transmission of knowledge by a single testimony. The reiteration of the generation of knowledge from multiple testimonies generates social knowledge.Critical examination of the literature about the coherence of multiple testimonies, their reliability, and independence argues in particular against conditional and causal interpretations and attempts to (...)
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  15.  56
    Constructivist Research and Info-Computational Knowledge Generation.Gordana Dodig Crnkovic - 2010 - In Lorenzo Magnani, Walter Carnielli & Claudio Pizzi (eds.), MODEL-BASED REASONING IN SCIENCE AND TECHNOLOGY. Springer.
    It is usual when writing on research methodology in dissertations and thesis work within Software Engineering to refer to Empirical Methods, Grounded Theory and Action Research. Analysis of Constructive Research Methods which are fundamental for all knowledge production and especially for concept formation, modeling and the use of artifacts is seldom given, so the relevant first-hand knowledge is missing. This article argues for introducing of the analysis of Constructive Research Methods, as crucial for understanding of research process and (...)
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  16.  8
    Knowledge-intensive natural language generation.Paul S. Jacobs - 1987 - Artificial Intelligence 33 (3):325-378.
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  17. Can Testimony Generate Knowledge?Peter J. Graham - 2006 - Philosophica 78 (2):105-127.
    Jennifer Lackey ('Testimonial Knowledge and Transmission' The Philosophical Quarterly 1999) and Peter Graham ('Conveying Information, Synthese 2000, 'Transferring Knowledge' Nous 2000) offered counterexamples to show that a hearer can acquire knowledge that P from a speaker who asserts that P, but the speaker does not know that P. These examples suggest testimony can generate knowledge. The showpiece of Lackey's examples is the Schoolteacher case. This paper shows that Lackey's case does not undermine the orthodox view that (...)
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  18. Generating nontrivial knowledge in awkward situations : Anthropology in the united kingdom.Eeva Berglund - 2006 - In Gustavo Lins Ribeiro & Arturo Escobar (eds.), World anthropologies: disciplinary transformations within systems of power. New York: Berg.
     
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  19. Imagination Cannot Generate Empirical Justification or Knowledge.Jonathan Egeland - forthcoming - Erkenntnis.
    What is the epistemic function of imagination? Traditionally, philosophers have claimed that the epistemic function of imagination is exhausted by its ability to provide justification for modal beliefs, or that it is epistemically irrelevant. However, in recent years a number of philosophers have broken with the tradition by arguing that imagination can generate justification or knowledge about contingent empirical facts. This paper argues against this view by developing a new dilemma. The upshot of the argument is that although imagination (...)
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  20.  31
    The Knowledge Explosion Generations of Feminist Scholarship.Cheris Kramarae & Dale Spender (eds.) - 1992 - New York, NY: Teachers College Press.
    Documents the problems and possibilities for women's studies, and exposes the resistance to women's initiatives, authority and autonomy. Contributors offer insights into debates surrounding the nature of knowledge, the multiple realities of female experience, dominance and the politics of research.
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  21. Generating Experimental Knowledge.U. Feest & G. Hon (eds.) - 2008 - Max Planck Institute for the History of Science.
     
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  22.  26
    Virginia M. Walsh. Global Institutions and Social Knowledge: Generating Research at the Scripps Institution and the Inter‐American Tropical Tuna Commission, 1900s–1990s. xvi +171 pp., table, notes, bibl., index. Cambridge, Mass.: MIT Press, 2004. [REVIEW]Jennifer Hubbard - 2005 - Isis 96 (4):646-647.
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  23.  16
    Bricolage and Bodies of Knowledge: Exploring Consumer Responses to Controversy about the Third Generation Oral Contraceptive Pill.Jennifer Sarah Hester - 2005 - Body and Society 11 (3):77-95.
    In the late 1990s, when otherwise healthy women in Aotearoa New Zealand started to die as a result of venous thrombosis attributed to third generation oral contraceptive pills, this contraceptive technology became the subject of media scrutiny and professional re-investigation. This research utilizes a qualitative methodology to explore the accounts of a small selection of contraceptive consumers. Many of this study’s consumers constructed an alternative framing of the 3GOC controversy, which accessed official information (such as medical statistics) but critically (...)
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  24. Difficulties in generating scepticism about knowledge of content.A. Brueckner - 1999 - Analysis 59 (1):59-62.
  25. Intellectual Virtues and Scientific Endeavor: A Reflection on the Commitments Inherent in Generating and Possessing Knowledge.Oscar Eliezer Mendoza-De Los Santos - 2023 - Bulletin of Science, Technology and Society 43 (1-2):18-31.
    In this essay, I reflect on the implications of intellectual virtues in scientific endeavor. To this end, I first offer a depiction of scientific endeavor by resorting to the notion of academic attitude, which involves aspects concerning the generation and possession of knowledge. Although there are differences between these activities, they have in common the engagement of diverse intellectual agents (scientists). In this sense, I analyze how intellectual virtues are linked to 1) scientific research tasks, such as theory (...)
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  26.  23
    Searching for Semantic Knowledge: A Vector Space Semantic Analysis of the Feature Generation Task.Rebecca A. Cutler, Melissa C. Duff & Sean M. Polyn - 2019 - Frontiers in Human Neuroscience 13.
  27. Properties of generated ballads-evidence of knowledge that constrains recall and stabilizes memory.Wt Wallace - 1987 - Bulletin of the Psychonomic Society 25 (5):355-355.
     
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  28. Knowledge from the Marketplace: The Next Generation Socioeconomic Engagement.Sidharta Chatterjee & Mousumi Samanta - 2022 - IUP Journal of Knowledge Management 20 (1):61-73.
    For this study, we have considered Facebook Marketplace (FBM) to understand how knowledge from the social networking world affects consumer choice and behavior, ie, users' economic decisions.[...] the FBM could be considered as a digital socioeconomic system where availability of digital trace data from user interactions would enable studies of population-level human interactions (Sundararajan et al., 2013).
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  29.  16
    Cultural differences in the motivation of Generation Y knowledge workers.Jaroslava Kubátová & Adéla Kukelková - 2014 - Human Affairs 24 (4):511-523.
    This article presents our research into cultural differences in the motivation of Generation Y knowledge workers. The goal of our research was to verify whether the motivation of young knowledge workers (members of Generation Y) could be assessed only in relation to the specifics of their generation, or whether it is necessary to take their national cultural background into account as well. The research carried out among two hundred respondents in four countries has confirmed that (...)
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  30. Collaborative knowledge, data and control generation for real time information and control system.Evtim Peytchev - 2007 - Communication and Cognition: An Interdisciplinary Quarterly Journal 40 (1):3-12.
     
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  31.  72
    Systematicity, knowledge, and bias. How systematicity made clinical medicine a science.Alexander Bird - 2019 - Synthese 196 (3):863-879.
    This paper shows that the history of clinical medicine in the eighteenth century supports Paul Hoyningen-Huene’s thesis that there is a correlation between science and systematicity. For example, James Jurin’s assessment of the safety of variolation as a protection against smallpox adopted a systematic approach to the assessment of interventions in order to eliminate sources of cognitive bias that would compromise inquiry. Clinical medicine thereby became a science. I use this confirming instance to motivate a broader hypothesis, that systematicity is (...)
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  32.  3
    Transforming knowledge systems for life on Earth: Visions of future systems and how to get there.Ioan Fazey, Niko Schäpke, Guido Caniglia, Anthony Hodgson, Ian Kendrick, Christopher Lyon, Glenn Page, James Patterson, Chris Riedy, Tim Strasser, Stephan Verveen, David Adams, Bruce Goldstein, Matthias Klaes, Graham Leicester, Alison Linyard, Adrienne McCurdy, Paul Ryan, Bill Sharpe, Giorgia Silvestri, Ali Yansyah Abdurrahim, David Abson, Olufemi Samson Adetunji, Paulina Aldunce, Carlos Alvarez-Pereira, Jennifer Marie Amparo, Helene Amundsen, Lakin Anderson, Lotta Andersson, Michael Asquith, Karoline Augenstein, Jack Barrie, David Bent, Julia Bentz, Arvid Bergsten, Carol Berzonsky, Olivia Bina, Kirsty Blackstock, Joanna Boehnert, Hilary Bradbury, Christine Brand, Jessica Böhme Sangmeister), Marianne Mille Bøjer, Esther Carmen, Lakshmi Charli-Joseph, Sarah Choudhury, Supot Chunhachoti-Ananta, Jessica Cockburn, John Colvin, Irena L. C. Connon, Rosalind Cornforth, Robin S. Cox, Nicholas Cradock-Henry, Laura Cramer, Almendra Cremaschi, Halvor Dannevig, Catherine T. Day & Cathel Hutchison - unknown
    Formalised knowledge systems, including universities and research institutes, are important for contemporary societies. They are, however, also arguably failing humanity when their impact is measured against the level of progress being made in stimulating the societal changes needed to address challenges like climate change. In this research we used a novel futures-oriented and participatory approach that asked what future envisioned knowledge systems might need to look like and how we might get there. Findings suggest that envisioned future systems (...)
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  33. Machine generated contents note: Introduction: philosophy and cruciform wisdom; Part I. Wisdom, Faith, and Reason: 1. Faithful knowing / Paul Gooch; 2. Repentance and self-knowledge / Merold Westphal; 3. Obedience and responsibility / William Wainwright; 4. Forgiveness, justification, and reconciliation / John Hare; Part II. Wisdom, Love, and Evil: 5. Wisdom and evil / Andrew Pisent; 6. Moral character and temptation / Sylvia Walsh; 7. Altruism, egoism and sacrifice / Gordon Graham; 8. Unconditional love and spiritual virtues / Robert C. Roberts; Part III. Wisdom, Contemplation, and Action: 9. Meaningful life / John Cottingham; 10. Beauty and aesthetics in theology / Charles Taliaferro; 11. Education for political autonomy / Paul Weithman; 12. The wisdom of hope in a despairing world. [REVIEW]Jerry Walls - 2012 - In Paul K. Moser & Michael McFall (eds.), The wisdom of the Christian faith. New York: Cambridge University Press.
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  34.  42
    A disanalogy with RCTs and its implications for second-generation causal knowledge.Kate E. Lynch, Rachael L. Brown, Jeremy Strasser & Shang Long Yeo - 2023 - Behavioral and Brain Sciences 46:e194.
    We are less optimistic than Madole & Harden that family-based genome-wide association studies (GWASs) will lead to significant second-generation causal knowledge. Despite bearing some similarities, family-based GWASs and randomised controlled trials (RCTs) are not identical. Most RCTs assess a relatively homogenous causal stimulus as a treatment, whereas GWASs assess highly heterogeneous causal stimuli. Thus, GWAS results will not translate so easily into second-generation causal knowledge.
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  35.  49
    Action research and knowledge co-generation: a not so dangerous liaison with conventional social research. [REVIEW]Hans Chr Garmann Johnsen - 2005 - AI and Society 19 (4):543-551.
    The article reflects on experience of action research in the context of regional development, where there has been pressure to produce practical results. The epistemological status of Action Research is explored, in contrast to conventional social science research. The article concludes that an ongoing relationship with conventional social research is necessary.
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  36. Transforming knowledge systems for life on Earth: Visions of future systems and how to get there.Ioan Fazey, Niko Schäpke, Guido Caniglia, Anthony Hodgson, Ian Kendrick, Christopher Lyon, Glenn Page, James Patterson, Chris Riedy, Tim Strasser, Stephan Verveen, David Adams, Bruce Goldstein, Matthias Klaes, Graham Leicester, Alison Linyard, Adrienne McCurdy, Paul Ryan, Bill Sharpe, Giorgia Silvestri, Ali Yansyah Abdurrahim, David Abson, Olufemi Samson Adetunji, Paulina Aldunce, Carlos Alvarez-Pereira, Jennifer Marie Amparo, Helene Amundsen, Lakin Anderson, Lotta Andersson, Michael Asquith, Karoline Augenstein, Jack Barrie, David Bent, Julia Bentz, Arvid Bergsten, Carol Berzonsky, Olivia Bina, Kirsty Blackstock, Joanna Boehnert, Hilary Bradbury, Christine Brand, Jessica Böhme, Marianne Mille Bøjer, Esther Carmen, Lakshmi Charli-Joseph, Sarah Choudhury, Supot Chunhachoti-Ananta, Jessica Cockburn, John Colvin, Irena L. C. Connon & Rosalind Cornforth - 2020 - Energy Research and Social Science 70.
    Formalised knowledge systems, including universities and research institutes, are important for contemporary societies. They are, however, also arguably failing humanity when their impact is measured against the level of progress being made in stimulating the societal changes needed to address challenges like climate change. In this research we used a novel futures-oriented and participatory approach that asked what future envisioned knowledge systems might need to look like and how we might get there. Findings suggest that envisioned future systems (...)
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  37.  22
    Knowledge and postmodernism in historical perspective.Joyce Appleby (ed.) - 1996 - New York: Routledge.
    Knowledge and Postmodernism in Historical Perspective offers answers to the questions, what is postmodernism? and what exactly are the characteristics of the modernism that postmodernism supercedes? This comprehensive reader chronicles the western engagement with the nature of knowledge during the past four centuries while providing the historical context for the postmodernist thought of Jacques Derrida, Michel Foucault, Richard Rorty and Hayden White, and the challenges their ideas have posed to our conventional ways of thinking, writing and knowing. From (...)
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  38. E. PEYTCHEV, Collaborative Knowledge, Data and Control Generation for Real Time Information and Control System 3 0. VASILECAS, D. BUGAITE, J. TRINKUNAS, Knowledge Expressed by Ontology Transformation into Conceptual Model 13 R. MIHALCA, A. UTA, A. ANDRONESCU, I. INTORSUREANU. [REVIEW]R. Doneva, N. Kasakliev, G. Totkov, Ko Jones, Jmv Reid & R. Bartlett - 2007 - Communication and Cognition: An Interdisciplinary Quarterly Journal 40:131.
     
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  39.  16
    (1 other version)What is scientific knowledge produced by Large Language Models?П. Н Барышников - 2024 - Philosophical Problems of IT and Cyberspace (PhilIT&C) 1:89-103.
    This article examines the nature of scientific knowledge generated by Large Language Models (LLMs) and assesses their impact on scientific discoveries and the philosophy of science. LLMs, such as GPT‑4, are advanced deep learning algorithms capable of performing various natural language processing tasks, including text generation, translation, and data analysis. The study aims to explore how these technologies influence the scientific research process, questioning the classification and validity of AI‑assisted scientific discoveries. The methodology involves a comprehensive review of (...)
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  40.  13
    The Way of Gaining Knowledge: Argumentation and Literary Presentation in Aristotle’s Generation of Animals.Sabine Föllinger & Thomas Busch - 2022 - In Aristotle’s ›Generation of Animals‹: A Comprehensive Approach. De Gruyter. pp. 101-122.
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  41.  32
    ‘Practicing’ Cosmopolitanism in Knowledge Spaces, Cityscapes and Marketplaces.Payel Chattopadhyay Mukherjee & Arnapurna Rath - 2015 - Journal of Human Values 21 (2):87-98.
    In this article, we observe the possibility of ‘practicing’ cosmopolitanism in three distinct experiential spaces intrinsic to human existence: knowledge spaces, habitation spaces and marketplaces. Although cosmopolitanism has been overwhelmingly deliberated upon across multiple disciplines, it has been confined to ‘conceptualisms’ in the Western scholarship. On the other hand, we find that some of the works of thinkers, such as, Rabindranath Tagore’s Creative Unity (1922), Aurobindo Ghosh’s The Ideal of Human Unity (1915–1918) and Mikhail Bakhtin’s Rabelais and His World (...)
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  42. Knowledge Management Processes and Their Role in Achieving Competitive Advantage at Al-Quds Open University.Nader H. Abusharekh, Husam R. Ahmad, Samer M. Arqawi, Samy S. Abu Naser & Mazen J. Al Shobaki - 2019 - International Journal of Academic Accounting, Finance and Management Research (IJAAFMR) 3 (9):24-41.
    The study aimed to identify the knowledge management processes and their role in achieving competitive advantage at Al-Quds Open University. The study was based on the descriptive analytical method, and the study population consists of academic and administrative staff in each of the branches of Al-Quds Open University in (Tulkarm, Nablus and Jenin). The researchers selected a sample of the study population by the intentional non-probability method, the size of (70) employees. A questionnaire was prepared and supervised by a (...)
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  43.  29
    The generation of the GDR: Economists at the Humboldt University of Berlin caught between loyalty and relevance.Till Düppe - 2017 - History of the Human Sciences 30 (3):50-85.
    The German Democratic Republic was in existence for 41 years. A single generation spent its whole professional life there – namely those born in the early 1930s who carried this state’s hopes. With Karl Mannheim’s notion of generations as a unit in the sociology of knowledge in mind, this article describes this generation’s typical experiences from the point of view of a particularly telling group: economists at the Humboldt University of Berlin. I present their socialization in Nazi (...)
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  44. Computational Generation of Referring Expressions: A Survey.Emiel Krahmer & Kees van Deemter - unknown
    This article offers a survey of computational research on referring expressions generation (REG). It introduces the REG problem and describes early work in this area, discussing what basic assumptions lie behind it, and showing how its remit has widened in recent years. We discuss computational frameworks underlying REG, and demonstrate a recent trend that seeks to link up REG algorithms with well-established Knowledge Representation traditions. Considerable attention is given to recent efforts at evaluating REG algorithms and the lessons (...)
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  45. Testimonial Knowledge: A Unified Account.Peter J. Graham - 2016 - Philosophical Issues 26 (1):172-186.
    Here are three (rough) theories of testimonial knowledge. (1) Speaker's knowledge: a hearer acquires the knowledge that P though testimony because of the speaker's knowledge that P--testimony "transfers" knowledge. This is the popular view, defended by Elizabeth Fricker and Paul Faulkner, among others. (2) Speaker's assertion: a hearer acquires the knowledge that P through testimony because the speaker's assertion that P is reliable that P in the right way (safe or sensitive). That's Jennifer Lackey's (...)
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  46.  50
    Tag line generating system using knowledge extracted from statistical analyses.Hiroaki Yamane & Masafumi Hagiwara - 2015 - AI and Society 30 (1):57-67.
  47.  45
    Rethinking epistemic incentives: How patient-centered, open source drug discovery generates more valuable knowledge sooner.Alexandra Bradner - 2013 - Episteme 10 (4):417-439.
    Drug discovery traditionally has occurred behind closed doors in for-profit corporations hoping to develop best-selling medicines that recoup initial research investment, sustain marketing infrastructures, and pass on healthy returns to shareholders. Only corporate Pharma has the man- and purchasing-power to synthesize the thousands of molecules needed to find a new drug and to conduct the clinical trials that will make the drug legal. Against this view, individual physician-scientists have suggested that the promise of applied genomics work calls for a new (...)
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  48.  21
    Knowledge Routines, Threads and Network Dynamics.Anna Kawalec & Paweł Kawalec - 2022 - Studies in Logic, Grammar and Rhetoric 67 (1):247-268.
    The paper focuses on knowledge generation, a topic frequently overlooked in the traditional debates in epistemology and philosophy of science. We focus on investigation as the primary process generating knowledge and its products. Investigation is taken as a generalization of the research process that includes similar knowledge-generating practices in aboriginal communities. To characterize the complexity of investigation processes and their products we go beyond traditional epistemological characterization of knowledge in terms of mental states and turn (...)
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  49.  10
    Evaluating Intelligence and Knowledge in Large Language Models.Francesco Bianchini - forthcoming - Topoi:1-11.
    In recent times, particularly in the last few years, we have observed the rise of numerous Artificial Intelligence and Natural Language Processing semantic technologies. These advancements have subtly yet profoundly transformed our understanding of knowledge and truth, and the mechanisms for expressing, preserving, and disseminating them. This article aims to explore the dual challenge of assessing the effects of Large Language Models and associated semantic technologies on text dissemination and production, especially across the Internet. It specifically examines the implications (...)
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  50.  23
    'Patient satisfaction': knowledge for ruling hospital reform - An institutional ethnography.Janet M. Rankin - 2003 - Nursing Inquiry 10 (1):57-65.
    ‘Patient satisfaction’: Knowledge for ruling hospital reform — An institutional ethnography Driven by funding restraint, Canadian health‐care has undergone over a decade of significant reform. Hospitals are being restructured, as text‐based practices of accountability bring a new business‐orientation into hospital and clinical management. New forms of knowledge, generated through records of various sorts, are a necessary resource for managing care in the new environment. This paper's research uses Canadian sociologist Dorothy E. Smith's institutional ethnographic methodology to critically analyse (...)
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