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  1. Critical Review of Fixing Language: An Essay on Conceptual Engineering, by Herman Cappelen [in Portuguese]. [REVIEW]Samuel Maia - forthcoming - Principia: An International Journal of Epistemology.
    This is a critical review of Herman Cappelen’s Fixing Language (2018), an excellent and thought-provoking introduction to a hot topic in metaphilosophy: conceptual engineering, which defines the process of evaluating and improving/revising our representational devices (popular known as concepts). Here, I first present an overview of the book, summarizing his General Theory of conceptual engineering. Second, I point out some limits of the General Theory, in particular the putative consequence of his semantic externalism, the Lack of Control thesis. According to (...)
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  • What Is Metascientific Ontology?François Maurice - 2022 - Mεtascience: Scientific General Discourse 2:22-44.
    Metascientific ontology differs from philosophical ontologies in its objectives, objects and methods. By an examination of the ontological theories of Mario Bunge, we will show their main objective is a unified representation of the world as known through the sciences, that their objects of study are scientific concepts, and that their methods do not differ from those that one expects to find in any rational activity. Metascientific ontology is therefore not transcendent because it does not seek to represent non-concrete objects (...)
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  • Qu'est-ce que l'ontologie métascientifique?François Maurice - 2022 - Mεtascience: Discours Général Scientifique 2:19-43.
    L’ontologie métascientifique se distingue des ontologies philosophiques par ses objectifs, ses objets et ses méthodes. Par un examen des théories ontologiques de Mario Bunge, nous montrerons que leur principal objectif est l’élaboration d’une représentation unifiée du monde tel que connu via les sciences, que leurs objets d’étude sont les concepts scientifiques, et que leurs méthodes ne diffèrent pas de celles qu’on s’attend à trouver dans toute activité rationnelle. L’ontologie métascientifique n’est donc pas transcendante parce qu’elle ne cherche pas à représenter (...)
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  • The phenomenon objection to conceptual engineering.Mark Pinder - forthcoming - Philosophical Studies:1-25.
    Conceptual engineering is sometimes presented as an alternative to conceptual analysis. But one important objection to conceptual analysis threatens to carry across: that philosophy investigates phenomena—knowledge, truth, freedom, etc.—rather than concepts of those phenomena. This poses a prima facie problem insofar as conceptual engineering targets concepts or terms rather than phenomena. Call it the ‘phenomenon objection’. I begin by examining recent discussions of the phenomenon objection by Cappelen and Scharp, rejecting their responses. I then clarify and strengthen the objection, discussing (...)
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  • Kant’s Metaphilosophy.Michael Lewin - 2021 - Open Philosophy 4 (1):292-310.
    While the term “metaphilosophy” enjoys increasing popularity in Kant scholarship, it is neither clear what distinguishes a metaphilosophical theory from a philosophical one nor to what extent Kant’s philosophy contains metaphilosophical views. In the first part of the article, I will introduce a demarcation criterion and show how scholars fall prey to the fallacy of extension confusing Kant’s philosophical theories with his theories about philosophy. In the second part, I will analyze eight elements for an “imperfect definition” of philosophy outlining (...)
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  • The Computational Philosophy: Simulation as a Core Philosophical Method.Conor Mayo-Wilson & Kevin J. S. Zollman - 2021 - Synthese 199 (1-2):3647-3673.
    Modeling and computer simulations, we claim, should be considered core philosophical methods. More precisely, we will defend two theses. First, philosophers should use simulations for many of the same reasons we currently use thought experiments. In fact, simulations are superior to thought experiments in achieving some philosophical goals. Second, devising and coding computational models instill good philosophical habits of mind. Throughout the paper, we respond to the often implicit objection that computer modeling is “not philosophical.”.
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  • Carnapian Explication and Ameliorative Analysis: A Systematic Comparison.Catarina Dutilh Novaes - 2020 - Synthese 197 (3):1011-1034.
    A distinction often drawn is one between conservative versus revisionary conceptions of philosophical analysis with respect to commonsensical beliefs and intuitions. This paper offers a comparative investigation of two revisionary methods: Carnapian explication and ameliorative analysis as developed by S. Haslanger. It is argued that they have a number of common features, and in particular that they share a crucial political dimension: they both have the potential to serve as instrument for social reform. Indeed, they may produce improved versions of (...)
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  • Second Philosophy and Testimonial Reliability: Philosophy of Science for STEM Students.Frank Cabrera - 2021 - European Journal for Philosophy of Science (3):1-15.
    In this paper, I describe some strategies for teaching an introductory philosophy of science course to Science, Technology, Engineering, and Mathematics (STEM) students, with reference to my own experience teaching a philosophy of science course in the Fall of 2020. The most important strategy that I advocate is what I call the “Second Philosophy” approach, according to which instructors ought to emphasize that the problems that concern philosophers of science are not manufactured and imposed by philosophers from the outside, but (...)
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  • Schwerpunkt: Critical Philosophy of Race.Kristina Lepold & Marina Martinez Mateo - 2019 - Deutsche Zeitschrift für Philosophie 67 (4):572-588.
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