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)

Dark matter in astrophysics offers a rare treat for philosophers of science. When they look at the contemporary science of dark matter, they see reports of a widely accepted theoretical posit indispensable to our best theories and models but without an accepted experimental confirmation of its existence. Nearly all astrophysicists and cosmologists believe that dark matter exists and makes up approximately a quarter of the mass-energy content of the universe. However, they seem to know almost nothing about its nature, cannot (...) directly observe it, and have been unable to detect the products of any interactions with any of the candidate dark matter particles. This project addresses the apparent tension between the impressive knowledge taken to have been obtained in contemporary sciences of the cosmos and the methodological and theoretical limitations in obtaining such knowledge. To do so, this dissertation investigates the ways in which astronomers and astrophysicists are making progress by looking more closely at their experimental practices and actual theoretical commitments. More specifically, the goal is to determine how this bears on longstanding philosophical questions of scientific realism and the nature of scientific experimentation. Ultimately, I argue that astronomers do conduct traditional, interventionist experiments and that we can be realists about dark matter. These two views offer a way of thinking differently about how scientists can and do obtain knowledge about inaccessible and unobservable targets systems. -/- . (shrink)

Following maze research in animal behavior studies through the twentieth century, I explore “control” as an extended historical process involving the successive stabilization or removal of bits and scraps of the world to arrive at the pure form of a phenomenon of interest. Early behaviorist investigation of maze learning aimed to strip environmental cues from maze design to study context-free learning. Exemplifying this tendency is the famous 1907 “Kerplunk” experiment of Watson and Carr, in which they concluded that rats could (...) ultimately learn a maze as one long bodily response unspooling in a successive series of actions, rather than basing their movement through the maze on external sensory stimuli. Supporting this context-free research program was a conceptual understanding of learning as something singular and general. With later, more ecological, accounts of animal behavior, however, it was argued that these early control practices had nullified the rich interrelation between organism and environment that makes advanced learning possible. The result was a deflated and distorted understanding of animal learning. Researchers had, in short, controlled away the phenomenon. This case highlights the tension between the object of inquiry and the object of control, and illustrates how novelty emerges in reinterpreting as central to the phenomenon of interest that which was previously merely interference. (shrink)