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  1. Shahbazi, M.; Bunker, D.; Sorrell, T.C.: Communicating shared situational awareness in times of chaos : social media and the COVID-19 pandemic (2023) 0.01 
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    Date
    22. 9.2023 16:02:26
  2. Wang, J.; Halffman, W.; Zhang, Y.H.: Sorting out journals : the proliferation of journal lists in China (2023) 0.01 
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    Date
    22. 9.2023 16:39:23
  3. Hjoerland, B.: Table of contents (ToC) (2022) 0.01 
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    Date
    18.11.2023 13:47:22
  4. Li, Z.; He, L.; Gao, D.: Ontology construction and evaluation for Chinese traditional culture : towards digital humanity (2022) 0.01 
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    Source
    Knowledge organization. 49(2022) no.1, S.22 - 39
  5. Barité, M.; Parentelli, V.; Rodríguez Casaballe, N.; Suárez, M.V.: Interdisciplinarity and postgraduate teaching of knowledge organization (KO) : elements for a necessary dialogue (2023) 0.01 
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    Abstract
    Interdisciplinarity implies the previous existence of disciplinary fields and not their dissolution. As a general objective, we propose to establish an initial approach to the emphasis given to interdisciplinarity in the teaching of KO, through the teaching staff responsible for postgraduate courses focused on -or related to the KO, in Ibero-American universities. For conducting the research, the framework and distribution of a survey addressed to teachers is proposed, based on four lines of action: 1. The way teachers manage the concept of interdisciplinarity. 2. The place that teachers give to interdisciplinarity in KO. 3. Assessment of interdisciplinary content that teachers incorporate into their postgraduate courses. 4. Set of teaching strategies and resources used by teachers to include interdisciplinarity in the teaching of KO. The study analyzed 22 responses. Preliminary results show that KO teachers recognize the influence of other disciplines in concepts, theories, methods, and applications, but no consensus has been reached regarding which disciplines and authors are the ones who build interdisciplinary bridges. Among other conclusions, the study strongly suggests that environmental and social tensions are reflected in subject representation, especially in the construction of friendly knowl­edge organization systems with interdisciplinary visions, and in the expressions through which information is sought.
  6. Das, S.; Bagchi, M.; Hussey, P.: How to teach domain ontology-based knowledge graph construction? : an Irish experiment (2023) 0.01 
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    Date
    20.11.2023 17:19:22
  7. Guo, T.; Bai, X.; Zhen, S.; Abid, S.; Xia, F.: Lost at starting line : predicting maladaptation of university freshmen based on educational big data (2023) 0.01 
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    Date
    27.12.2022 18:34:22
  8. Brown, T.B.; Mann, B.; Ryder, N.; Subbiah, M.; Kaplan, J.; Dhariwal, P.; Neelakantan, A.; Shyam, P.; Sastry, G.; Askell, A.; Agarwal, S.; Herbert-Voss, A.; Krueger, G.; Henighan, T.; Child, R.; Ramesh, A.; Ziegler, D.M.; Wu, J.; Winter, C.; Hesse, C.; Chen, M.; Sigler, E.; Litwin, M.; Gray, S.; Chess, B.; Clark, J.; Berner, C.; McCandlish, S.; Radford, A.; Sutskever, I.; Amodei, D.: Language models are few-shot learners (2020) 0.01 
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  9. Dachwitz, I.: ¬Das sind 650.000 Kategorien, in die uns die Online-Werbeindustrie einsortiert : Microsofts Datenmarktplatz Xandr (2023) 0.01 
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  10. Hofstadter, D.: Artificial neural networks today are not conscious, according to Douglas Hofstadter (2022) 0.01 
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    Content
    Kommentar Autor: "I would call GPT-3's answers not just clueless but cluelessly clueless, meaning that GPT-3 has no idea that it has no idea about what it is saying. There are no concepts behind the GPT-3 scenes; rather, there's just an unimaginably huge amount of absorbed text upon which it draws to produce answers. But since it had no input text about, say, dropping things onto the Andromeda galaxy (an idea that clearly makes no sense), the system just starts babbling randomly-but it has no sense that its random babbling is random babbling. Much the same could be said for how it reacts to the absurd notion of transporting Egypt (for the second time) across the Golden Gate Bridge, or the idea of mile-high vases."
  11. Yu, L.; Fan, Z.; Li, A.: ¬A hierarchical typology of scholarly information units : based on a deduction-verification study (2020) 0.01 
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    Date
    14. 1.2020 11:15:22
  12. Hocker, J.; Schindler, C.; Rittberger, M.: Participatory design for ontologies : a case study of an open science ontology for qualitative coding schemas (2020) 0.01 
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    Date
    20. 1.2015 18:30:22
  13. Qin, H.; Wang, H.; Johnson, A.: Understanding the information needs and information-seeking behaviours of new-generation engineering designers for effective knowledge management (2020) 0.01 
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    20. 1.2015 18:30:22
  14. Palsdottir, A.: Data literacy and management of research data : a prerequisite for the sharing of research data (2021) 0.01 
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    20. 1.2015 18:30:22
  15. DeSilva, J.M.; Traniello, J.F.A.; Claxton, A.G.; Fannin, L.D.: When and why did human brains decrease in size? : a new change-point analysis and insights from brain evolution in ants (2021) 0.00 
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    Source
    Frontiers in ecology and evolution, 22 October 2021 [https://www.frontiersin.org/articles/10.3389/fevo.2021.742639/full]

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