I argue that the French sociologist Émile Durkheim (1858–1917) decided to constitute sociology, a novel field, as ‘scientific’ early in his career. He adopted evolutionized biology as then practiced as his principal model of science, but at first wavered between alternative repertoires of concepts, models, metaphors and analogies, in particular Spencerian Lamarckism and French neo-Lamarckism. I show how Durkheim came to fashion a particular deployment of the French neo-Lamarckian repertoire. The paper describes and analyzes this repertoire and explicates how it (...) might have been available to a non-biologist. I analyze Durkheim’s very early writings between 1882 and 1892 in this context to substantiate my argument. (shrink)

Traditionally defined as the science of the living, or as the field that beyond anatomical structure and bodily form studies functional organization and behaviour, physiology has long been excluded from evolutionary research. The main reason for this exclusion is that physiology has a presential and futuristic outlook on life, while evolutionary theory is traditionally defined as the study of natural history. In this paper, I re-evaluate these classic science divisions and situate physiology within the history of the evolutionary sciences, as (...) well as within debates on the Extended Evolutionary Synthesis and the need for a Third Way of Evolution. I then briefly point out how evolutionary physiology in particular contributes to research on function, causation, teleonomy, agency and cognition. (shrink)

In this talk I present the main results from Anta (2021), namely, that the theoretical division between Boltzmannian and Gibbsian statistical mechanics should be understood as a separation in the epistemic capabilities of this physical discipline. In particular, while from the Boltzmannian framework one can generate powerful explanations of thermal processes by appealing to their microdynamics, from the Gibbsian framework one can predict observable values in a computationally effective way. Finally, I argue that this statistical mechanical schism contradicts the Hempelian (...) (1958) thesis that the predictive power of a scientific theory is directly proportional to its explanatory potential, and vice versa. (shrink)