RÉSUMÉJe soulève des questions concernant l'approche volontariste défendue par Chakravartty à l’égard des positions : supposant que nous reconnaissons une hiérarchie des positions, la position volontariste peut être à la fois vraie et trompeuse en ce qui concerne la viabilité pratique de certains débats dans le domaine de la philosophie des sciences, en particulier le débat sur le réalisme scientifique ou sur la façon de «naturaliser» la métaphysique.

Non-epistemic values play important roles in classificatory practice, such that philosophical accounts of kinds and classification should be able to accommodate them. Available accounts fail to do so, however. Our aim is to fill this lacuna by showing how non-epistemic values feature in scientific classification, and how they can be incorporated into a philosophical theory of classification and kinds. To achieve this, we present a novel account of kinds and classification, discuss examples from biological classification where non-epistemic values play decisive (...) roles, and show how this account accommodates the role of non-epistemic values. (shrink)

In a recent article, David Ludwig proposed to reorient the debate on natural kinds away from inquiring into the naturalness of kinds and toward elucidating the materiality of kinds. This article responds to Ludwig’s critique of a recently proposed account of kinds and classification, the Grounded Functionality Account, against which Ludwig offsets his own account, and criticizes Ludwig’s proposal to shift focus from naturalness to materiality in the philosophy of kinds and classification.

Recent philosophy of measurement has emphasized the existence of both diachronic and synchronic “loops,” or feedback processes, in the epistemic achievements of measurement. A widespread response has been to conclude that measurement outcomes do not convey interest-independent facts about the world, and that only a coherentist epistemology of measurement is viable. In contrast, I argue that a form of measurement realism is consistent with these results. The insight is that antecedent structure in measuring spaces constrains our empirical procedures such that (...) successful measurement conveys a limited, but veridical knowledge of “fixed points,” or stable, interest- independent features of the world. (shrink)