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Summary Topics covered under the rubric of "Scientific Language Misc" are simply those which do not fall in any straightforward manner into other sections of the "Scientific Language" category.
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  1. Rhetoric and Nomenclature in Lavoisier's Chemical Language.Wilda Anderson - 1985 - Topoi 4 (2):165-169.
    Implicit in the theoretical chemical writings of Antoine Laurent Lavoisier is a theory of language that is not in complete harmony with the philosopher of language whom he takes as his explicit authority, Condillac. Lavoisier's reform of the nomenclature of chemistry leads to his dividing scientific language into two sets with different properties: a denotative artificial nomenclature and connotative natural language. This division supposedly permits knowledge to be stored in the nomenclature while the natural language retains the rhetorical tools necessary (...)
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  2. Semantic Holism in Scientific Language.Holger Andreas - 2010 - Philosophy of Science 77 (4):524-543.
    Whether meaning is compositional has been a major issue in linguistics and formal philosophy of language for the last 2 decades. Semantic holism is widely and plausibly considered as an objection to the principle of semantic compositionality therein. It comes as a surprise that the holistic peculiarities of scientific language have been rarely addressed in formal accounts so far, given that semantic holism has its roots in the philosophy of science. For this reason, a model-theoretic approach to semantic holism in (...)
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  3. Meaning and Testability in the Structuralist Theory of Science.Jesús P. Zamora Bonilla - 2003 - Erkenntnis 59 (1):47 - 76.
    The connection between scientific knowledge and our empirical access to realityis not well explained within the structuralist approach to scientific theories. I arguethat this is due to the use of a semantics not rich enough from the philosophical pointof view. My proposal is to employ Sellars–Brandom's inferential semantics to understand how can scientific terms have empirical content, and Hintikka's game-theoretical semantics to analyse how can theories be empirically tested. The main conclusions are that scientific concepts gain their meaning through `basic (...)
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  4. Metaphor and Theory Change.Richard N. Boyd - 1993 - In A. Ortony (ed.), Metaphor and Thought, 2nd Edition. Cambridge University Press.
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  5. Explication as a Method of Conceptual Re-Engineering.Georg Brun - 2016 - Erkenntnis 81 (6):1211-1241.
    Taking Carnap’s classic exposition as a starting point, this paper develops a pragmatic account of the method of explication, defends it against a range of challenges and proposes a detailed recipe for the practice of explicating. It is then argued that confusions are involved in characterizing explications as definitions, and in advocating precising definitions as an alternative to explications. Explication is better characterized as conceptual re-engineering for theoretical purposes, in contrast to conceptual re-engineering for other purposes and improving exactness for (...)
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  6. Thomas Uebel. Empiricism at the Crossroads: The Vienna Circle's Protocol-Sentence Debate. Full Circle: Publications of the Archive of Scientific Philosophy 4. Chicago: Open Court, 2007. Pp. Xviii+ 518. $80.96 (Paper). [REVIEW]Jordi Cat - 2012 - Hopos: The Journal of the International Society for the History of Philosophy of Science 2 (2):354-360.
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  7. Understanding the Language of Science.Steven G. Darian - 2003 - University of Texas Press.
    "To my knowledge, there has never [before] been a volume that analyzes, in one place, the actual language of science--those elements of thinking that are acknowledged to be the basis of scientific thought. . . . [Thus] this is a very important book, contributing to several fields: science, education, rhetoric, medicine, and perhaps even philosophy. . . . Darian's erudition is truly astonishing." --Celest A. Martin, Associate Professor, College Writing Program, University of Rhode Island From astronomy to zoology, the practice (...)
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  8. Is It Possible to Give Scientific Solutions to Grand Challenges? On the Idea of Grand Challenges for Life Science Research.Sophia Efstathiou - 2016 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 56:46-61.
    This paper argues that challenges that are grand in scope such as "lifelong health and wellbeing", "climate action", or "food security" cannot be addressed through scientific research only. Indeed scientific research could inhibit addressing such challenges if scientific analysis constrains the multiple possible understandings of these challenges into already available scientific categories and concepts without translating between these and everyday concerns. This argument builds on work in philosophy of science and race to postulate a process through which non-scientific notions become (...)
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  9. Ignorance, Uncertainty, and the Development of Scientific Language.Kevin Elliott - unknown
    Robert Proctor has argued that ignorance or non-knowledge can be fruitfully divided into at least three categories: ignorance as native state or starting point; ignorance as lost realm or selective choice; and ignorance as strategic ploy or active construct. This chapter explores Proctor’s second category, ignorance as selective choice. When scientists investigate poorly understood phenomena, they have to make selective choices about what questions to ask, what research strategies and metrics to employ, and what language to use for describing the (...)
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  10. On the Linguistic Foundations of the Problem of Scientific Discovery.George L. Farre - 1968 - Journal of Philosophy 65 (24):779-794.
  11. Interpretation in the Natural Sciences.Jan Faye - unknown
    Interpretation in science has gained little attention in the past because philosophers of science believed that interpretation belongs to the context of discovery or must be associated with meaning. But scientists often speak about interpretation when they report their findings. Elsewhere I have argue in favour of a pragmatic-rhetorical theory of explanation, and it is in light of this theory that I suggest we can understand interpretation in the natural sciences.
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  12. Mind the Metaphor! A Systematic Fallacy in Analogical Reasoning.Eugen Fischer - 2015 - Analysis 75 (1):67-77.
    Conceptual metaphors facilitate both productive and pernicious analogical reasoning. This article addresses the question: When and why does the frequently helpful use of metaphor become pernicious? By applying the most influential theoretical framework from cognitive psychology in analysing the philosophically most prominent example of pernicious metaphorical reasoning, we identify a philosophically relevant but previously undescribed fallacy in analogical reasoning with metaphors. We then outline an explanation of why even competent thinkers commit this fallacy and obtain a psychologically informed ‘debunking’ explanation (...)
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  13. The Role of Language in Science.Alan Ford & F. David Peat - 1988 - Foundations of Physics 18 (12):1233-1242.
    It is argued that language plays an active role in the development of scientific thought. A research project is outlined which will investigate this hypothesis and, in addition, focus on such questions as the role of mathematics in science and the status of the genetic code. “Nothing is more usual than for philosophers to encroach on the province of grammarians, and to engage in disputes of words, while they imagine they are handling controversies of the deepest importance and concern.”—David Hume.
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  14. Dawkins and Latour. A Tale of Two Unlikely Fellows.Hajo Greif - 2005 - In Arno Bammé (ed.), Yearbook 2005 of the Institute for Advanced Studies on Science, Technology and Society. Profil. pp. 99-124.
    Two popular, yet highly controversial concepts of non-human agency from two different fields of knowledge are compared in this essay: the theory of the Selfish Gene, introduced into neo-Darwinian evolutionary biology by Richard Dawkins, and Actor-Network Theory, as brought forward in Science & Technology Studies by Bruno Latour. It is argued that the two theories, despite all apparent differences, share key motifs and motivations when they try to forward knowledge in their respective fields by adopting a vocabulary that aims at (...)
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  15. The Judgement-Stroke as a Truth-Operator: A New Interpretation of the Logical Form of Sentences in Frege's Scientific Language. [REVIEW]D. Greimann - 2000 - Erkenntnis 52 (2):213-238.
    The syntax of Frege's scientific language is commonly taken to be characterized by two oddities: the representation of the intended illocutionary role of sentences by a special sign, the judgement-stroke, and the treatment of sentences as a species of singular terms. In this paper, an alternative view is defended. The main theses are: the syntax of Frege's scientific language aims at an explication of the logical form of judgements; the judgement-stroke is, therefore, a truth-operator, not a pragmatic operator; in Frege's (...)
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  16. Protowissenschaft Und RekonstruktionProtoscience and Reconstruction.Dirk Hartmann - 1996 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 27 (1):55-69.
    Protoscience and Reconstruction. A central concept of the constructivist philosophy of science is the term 'protoscience'. From an orthodox point of view, protosciences are bound to give the so called 'measurement-theoretical Apriori' for a science. Protophysics for example defines the quantities 'length', 'time', and 'mass'. Thereby it yields some basic physical laws, which usually are regarded as "laws of nature", but in fact follow already from the definitions of the basic quantities. The attempt to establish other protodisciplines than protophysics is (...)
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  17. Natural and Scientific Language.Ernest H. Hutten - 1954 - Philosophy 29 (108):27 - 43.
    Whenever we speak with someone in everyday life, when we write a letter or read a novel, we are said to use natural language. We have a historically given language like English or French; we consider familiar things and events; and we use the language more or less as most members of the same community use it.
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  18. Introduction: Machine Learning as Philosophy of Science.Kevin B. Korb - 2004 - Minds and Machines 14 (4):433-440.
    I consider three aspects in which machine learning and philosophy of science can illuminate each other: methodology, inductive simplicity and theoretical terms. I examine the relations between the two subjects and conclude by claiming these relations to be very close.
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  19. La filosofía de la ciencia y el lenguaje: relaciones cambiantes, alcances y límites.Pablo Lorenzano - 2011 - Arbor 187 (747):69-80.
    This paper consists of three sections. In the first one, some of the main developments in the philosophy of science through the xx century up to the present will be pointed out, and inserted them in the frame of some more general philosophical transformations, such as the so-called “linguistic turn” and “pragmatic turn”, respectively. In the second one, the established connection will be nuanced, from a revision of the work of a “classical” author such as Carnap. Finally, it will be (...)
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  20. Is Science First-Order?Ulrich Meyer - 2002 - Analysis 62 (276):305-308.
    It is a popular view amongst some philosophers, most notably those with Quinean views about ontological commitment, that scientific theories are first-orderizable; that we can regiment all such theories in an extensional first-order language. I argue that this view is false, and that any acceptable account of science needs to take some modal notion as primitive.
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  21. Another View of Translation Manuals and the Study of Science.Steven I. Miller & Marcel Fredericks - 1997 - Synthese 113 (2):171-193.
    The article argues for the possibility of translation manuals having an implicit internal structure. This structure is composed of specific methodological assumptions and techniques. Using the (N)-type and (G)-type distinction developed by Fuller for the study of scientific behavior, it is shown that these are incomplete characterizations of translation manuals. A more complete characterization must involve an analysis of how the presence or absence of methodological rules influences the interpretation of specific research questions. It is further argued that while Quine's (...)
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  22. On the State of Scientific English and How to Improve It–Part 4.Andrew Moore - 2013 - Bioessays 35 (11):925-925.
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  23. On the State of Scientific English and How to Improve It–Part 3.Andrew Moore - 2013 - Bioessays 35 (8):667-667.
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  24. On the State of Scientific English and How to Improve It–Part 1.Andrew Moore - 2013 - Bioessays 35 (5):409-409.
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  25. Metaphor and Thought.A. Ortony (ed.) - 1993 - Cambridge University Press.
    The book will serve as an excellent graduate-level textbook in cognitive psychology, linguistics, and artificial intelligence.
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  26. Scientific Realism Versus Antirealism in Science Education.Seungbae Park - 2016 - Coactivity: Philosophy, Communication 24 (1):72-81.
    Scientific realists believe both what a scientific theory says about observables and unobservables. In contrast, scientific antirealists believe what a scientific theory says about observables, but not about unobservables. I argue that scientific realism is a more useful doctrine than scientific antirealism in science classrooms. If science teachers are antirealists, they are caught in Moore’s paradox when they help their students grasp the content of a scientific theory, and when they explain a phenomenon in terms of a scientific theory. Teachers (...)
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  27. Linguaggio, scienza e filosofia.Alberto Pasquinelli - 1961 - Il Mulino.
  28. Is There Any Theoretical Justification for a Nonstatement View of Theories?David Pearce - 1981 - Synthese 46 (1):1 - 39.
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  29. The Semantics of Open Concepts.Marian Przełęcki - 1979 - In Jerzy Pelc (ed.), Semiotics in Poland 1984–19694. Springer. pp. 284–317.
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  30. Review. Science, Reality and Language. Michelle Marsonet.S. Psillos - 1996 - British Journal for the Philosophy of Science 47 (4):663-668.
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  31. Varieties of Eliminability of Theoretical Terms and the Empirical Content of Theories.Robert Alan Rynasiewicz - 1981 - Dissertation, University of Minnesota
    A classical problem in the philosophy of science is the characterization of the purposes served by theoretical terms in scientific theories. Closely associated with this is the question whether theoretical terms can always be eliminated from scientific theories without loss of the essential purposes served by these terms. If they can, then the empiricist has gained a potential argument against scientific realism. I consider the success of elimination strategies with respect to three minimal constraints: the replacement theory must be axiomatizable (...)
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  32. Whewell's Theory of Scientific Language.Morton L. Schagrin - 1973 - Studies in History and Philosophy of Science Part A 4 (3):231-240.
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  33. Science, Language, and Creativity.Pradip Kumar Sengupta - 1995 - Progressive Publishers.
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  34. Counting Systems and the First Hilbert Problem.Yaroslav Sergeyev - 2010 - Nonlinear Analysis Series A 72 (3-4):1701-1708.
    The First Hilbert problem is studied in this paper by applying two instruments: a new methodology distinguishing between mathematical objects and mathematical languages used to describe these objects; and a new numeral system allowing one to express different infinite numbers and to use these numbers for measuring infinite sets. Several counting systems are taken into consideration. It is emphasized in the paper that different mathematical languages can describe mathematical objects (in particular, sets and the number of their elements) with different (...)
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  35. The Metaphysics of Precision and Scientific Language.Roy A. Sorensen - 1997 - Philosophical Perspectives 11 (s11):349-374.
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  36. Poetic Language and Scientific Language.J. Starobinski - 1977 - Diogenes 25 (100):128-145.
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  37. Languages and Theories Adequate to the Ontology of Scientific Language.H. Stonert - 1964 - Studia Logica 15 (1):76-77.
  38. Critical Review of Mathematics and Scientific Representation. [REVIEW]Sean Walsh, Eleanor Knox & Adam Caulton - 2014 - Philosophy of Science 81 (3):460-469.
  39. Truth-Value Gaps, Ontological Commitments, and Incommensurability (Doctoral Dissertation).Xinli Wang - 1998 - Dissertation, The University of Connecticut
    According to the accepted translation-failure interpretation, the problem of incommensurability involves the nature of the meaning-referential relation between scientific languages. The incommensurability thesis is that some competing scientific languages are mutually untranslatable due to the radical variance of meaning or/and reference of the terms they employ. I argue that this interpretation faces many difficulties and cannot give us a tenable, coherent, and integrated notion of incommensurability. It has to be rejected. ;On the basis of two case studies, I find that (...)
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