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Martin, W.J.: ¬The information society (1995)
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- Date
- 15. 7.2002 14:22:55
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Davenport, E.; Cronin, B.: Knowledge management : Semantic drift or conceptual shift? (2000)
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- Date
- 31. 7.2001 20:22:57
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Fugmann, R.: What is information? : an information veteran looks back (2022)
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- Date
- 18. 8.2022 19:22:57
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Bates, M.J.: Fundamental forms of information (2006)
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- Date
- 22. 3.2009 18:15:22
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Knowledge, concepts and categories (1997)
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- Content
- Enthält die Kapitel: (1) HEIT, E.: Knowledge and concept learning (2) HAHN, U. u. N. CHATER: Concepts and similarity (3) MURPHY, G.L. u. M.E. LASSALINE: Hierarchical structure in concepts and the basic level of categorization (4) HAMPTON, J.: Conceptual combination (5) SMITH, L.B. u. L.K. SAMUELSON; Perceiving and remembering: category stability, variability and development (6) SHANKS, D.R.: Distributed representations and implicit knowledge: a brief introduction (7) KNOWLTON, B.: Declarative and nondeclarative knowledge: insights from cognitive neurosciences (8) GOSCHKE, T.: Implicit learning and unconscious knowledge: mental representation, computational mechanisms, and brain structures (9) WHITTLESEA, B.W.A.: The representation of general and particular knowledge (10) LAMBERTS, K.: Process models of categorization (11) BUSEMEYER, J.R. u.a.: Learning functional relations based on experience with input-output pairs by humans and artificial neural networks (12) STORMS, G. u. P. DeBOECK: Formal models for intra-categorial structure that can be used for data analysis
-
Hew, K.F.; Hara, N.: Knowledge sharing in online environments : a qualitative case study (2007)
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Smith, L.C.: "Wholly new forms of encyclopedias" : electronic knowledge in the form of hypertext (1989)
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- Date
- 7. 1.1996 22:47:52
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Information literacy : a position paper on information problem solving; American Association of School Librarians Position Statement (1995)
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- Date
- 11. 4.1996 14:22:40
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Cawkell, T.: ¬The information age : for better or for worse (1998)
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- Date
- 3. 1.1999 14:40:22
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Swigon, M.: Information limits : definition, typology and types (2011)
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- Date
- 12. 7.2011 18:22:52
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Leydesdorff, L.; Ivanova, I.A.: Mutual redundancies in interhuman communication systems : steps toward a calculus of processing meaning (2014)
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- Abstract
- The study of interhuman communication requires a more complex framework than Claude E. Shannon's (1948) mathematical theory of communication because "information" is defined in the latter case as meaningless uncertainty. Assuming that meaning cannot be communicated, we extend Shannon's theory by defining mutual redundancy as a positional counterpart of the relational communication of information. Mutual redundancy indicates the surplus of meanings that can be provided to the exchanges in reflexive communications. The information is redundant because it is based on "pure sets" (i.e., without subtraction of mutual information in the overlaps). We show that in the three-dimensional case (e.g., of a triple helix of university-industry-government relations), mutual redundancy is equal to mutual information (Rxyz = Txyz); but when the dimensionality is even, the sign is different. We generalize to the measurement in N dimensions and proceed to the interpretation. Using Niklas Luhmann's (1984-1995) social systems theory and/or Anthony Giddens's (1979, 1984) structuration theory, mutual redundancy can be provided with an interpretation in the sociological case: Different meaning-processing structures code and decode with other algorithms. A surplus of ("absent") options can then be generated that add to the redundancy. Luhmann's "functional (sub)systems" of expectations or Giddens's "rule-resource sets" are positioned mutually, but coupled operationally in events or "instantiated" in actions. Shannon-type information is generated by the mediation, but the "structures" are (re-)positioned toward one another as sets of (potentially counterfactual) expectations. The structural differences among the coding and decoding algorithms provide a source of additional options in reflexive and anticipatory communications.
-
Rodrigo, A.; Peñas, A.; Miyao, Y.; Kando, N.: Do systems pass university entrance exams? (2018)
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-
Heinström, J.; Sormunen, E.; Savolainen, R.; Ek, S.: Developing an empirical measure of everyday information mastering (2020)
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- Abstract
- The aim of the study was to develop an empirical measure for everyday information mastering (EIM). EIM describes the ways that individuals, based on their beliefs, attitudes, and expectations, orient themselves to information as a resource of everyday action. The key features of EIM were identified by conceptual analysis focusing on three EIM frameworks. Four modes of EIM-Proactive, Social, Reactive, and Passive-and their 12 constituents were identified. A survey of 39 items was developed in two pilot studies to operationalize the identified modes as measurable EIM constituents. The respondents in the main study were upper secondary school students (n = 412). Exploratory factor analysis (EFA) was applied to validate subscales for each EIM constituent. Seven subscales emerged: Inquiring and Scanning in the Proactive mode, Social media-centered, and Experiential in the Social mode, and Information poor, Overwhelmed, and Blunting in the Passive mode. Two constituents, Serendipitous and Intuitive, were not supported in the EFA. The findings highlight that the core constituents of an individual's everyday information mastering can be operationalized as psychometric scales. The instrument contributes to the systematic empirical study of EIM constituents and their relationships. The study further sheds light on key modes of EIM.
-
Dillon, A.; Vaughan, M.: "It's the journey and the destination" : shape and the emergent property of genre in evaluating digital documents (1997)
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- Date
- 6. 2.1999 20:10:22
-
Crowe, M.; Beeby, R.; Gammack, J.: Constructing systems and information : a process view (1996)
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- Date
- 25.12.2001 13:22:30
-
Meadows, J.: Understanding information (2001)
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- Date
- 15. 6.2002 19:22:01
-
Westbrook, L.: Information myths and intimate partner violence : sources, contexts, and consequences (2009)
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- Date
- 22. 3.2009 19:16:44
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Badia, A.: Data, information, knowledge : an information science analysis (2014)
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- Date
- 16. 6.2014 19:22:57
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Joint, N.: Digital information and the "privatisation of knowledge" (2007)
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Information : keywords (2021)
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- Content
- Inhalt: Introduction: Information and Humanities, by Michele Kennerly, Samuel Frederick, and Jonathan E. Abel -- Abundance, by Damien Smith Pfister -- Algorithm, by Jeremy David Johnson -- Archive, by Laura Helton -- Bioinformatics, by Haun Saussy -- Cognition, by N. Katherine Hayles -- Gossip, by Elizabeth Horodowich -- Index, by Dennis Duncan -- Intel, by Geoffrey Winthrop-Young -- Keyword, by Daniel Rosenberg -- Knowledge, by Chad Wellmon -- Noise, by Matt Jordan -- Screen, by Francesco Casetti and Bernard Dionysius Geoghegan -- Search, by David L. Marshall -- Self-Tracking, by Deborah Lupton -- Tele (???e), by Wolf Kittler.
