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  1.  28
    Conflict(s) of Interest in Peer Review: Its Origins and Possible Solutions.Anton Oleinik - 2013 - Science and Engineering Ethics (1):1-21.
    Scientific communication takes place at two registers: first, interactions with colleagues in close proximity—members of a network, school of thought or circle; second, depersonalised transactions among a potentially unlimited number of scholars can be involved (e.g., author and readers). The interference between the two registers in the process of peer review produces a drift toward conflict of interest. Three particular cases of peer review are differentiated: journal submissions, grant applications and applications for tenure. The current conflict of interest policies do (...)
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  2.  17
    Inquiring into Communication in Science: Alternative Approaches.Anton Oleinik - 2009 - Science in Context 22 (4):613-646.
    ArgumentThis article focuses on a problematic character of communication in science. Two solutions are compared: paradigm-based science and the semiotic solution developed in the arts and social sciences. There are several parallels between the latter approach and Marxist dialectics. A third, original, approach to solving communication problems is proposed; it can be labeled “transactional.” It represents a version of the semiotic solution with particular emphasis on interactions, both face-to-face and depersonalized, and the imperative of negotiating and finding compromises. Communication problems (...)
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  3.  19
    On Negative Convergence: The Metaphor of Vodka-Cola Reconsidered.Anton Oleinik - 2008 - Telos: Critical Theory of the Contemporary 2008 (145):31-46.
    The process of lowering and removing barriers to the flow of ideas, people, capital, goods, and services at the global level has been presented by many liberal thinkers as a way of opening economies and societies. Neoclassical economists argue that markets, for instance, are potentially boundless: the less external constraints and restrictions, the more smoothly and efficiently they function. Trends toward increasing the intensity of exchanges at the supra-national level, conventionally called globalization, have had nonlinear dynamics. It has taken several (...)
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    What are neural networks not good at? On artificial creativity.Anton Oleinik - 2019 - Big Data and Society 6 (1).
    This article discusses three dimensions of creativity: metaphorical thinking; social interaction; and going beyond extrapolation in predictions. An overview of applications of neural networks in these three areas is offered. It is argued that the current reliance on the apparatus of statistical regression limits the scope of possibilities for neural networks in general, and in moving towards artificial creativity in particular. Artificial creativity may require revising some foundational principles on which neural networks are currently built.
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