While the pursuitworthiness of philosophical ideas has changed over time, philosophical practice and methodology have not kept pace. The worthiness of a philosophical pursuit includes not only the ideas and objectives one pursues but also the methods with which one pursues them. In this paper, we articulate how empirical approaches benefit philosophy of science, particularly advocating for the use of qualitative methods for understanding the social and normative aspects of scientific inquiry. After situating qualitative methods within empirical philosophy of science, (...) we discuss how to adapt these traditionally sociological methods to empirically inform philosophical questions. Our aim is to normalize and legitimize qualitative methods for philosophical purposes and discuss how they can elucidate descriptive and normative components of scientific practice in a more generalizable non-idealized manner. We contend that qualitative methods are particularly well suited to philosophical interest in the social norms of science, their achievability, and their mutability. Furthermore, unlike more historical case studies in philosophy, qualitative methods enable more confidence in generalizability, albeit limited, from a concrete sample to a larger class. We conclude by addressing anxieties about the distinctness of empirical philosophy of science from social epistemology and from sociology of science. (shrink)

A persistent puzzle for philosophers of science is the well-documented appeal made by scientists to their aesthetic emotions in the course of scientific research. Emotions are usually viewed as irremediably subjective, and thus of no epistemological interest. Yet, by denying an epistemic role for scientists’ emotional dispositions, philosophers find themselves in the awkward position of ignoring phenomena which scientists themselves often insist are of importance. This paper suggests a possible solution to this puzzle by challenging the wholesale identification of emotion (...) with subjectivity. The proposed method is a naturalistic and externalist one, calling for empirical investigation into the intersubjective processes by which scientists’ emotional dispositions become refined and attuned to specific objects of attention. The proposal is developed through a critical discussion of Michael Polanyi’s theory of scientific passions, as well as plant geneticist Barbara McClintock’s celebrated “feeling for the organism.”. (shrink)

The European tradition makes a sharp distinction between animism and science. On the basis of this distinction, either animism is reproved for failing to reach the heights of science, or science is reproved for failing to reach the heights of animism. In this essay, I draw on work in the history and philosophy and science, combined with a method from the sociology of scientific knowledge, to question the sharpness of this distinction. Along the way, I also take guidance from the (...) research of North American Indigenous scholars. As it turns out, there is a rich, if largely overlooked, tradition of Aristotelian animism running through the history of modern European science, and this tradition sometimes resonates with Indigenous perspectives. By challenging the entrenched distinction between animism and science, I aim to help reconcile ongoing tensions between Indigenous and European scientific groups, and so strengthen prospects for their mutually beneficial cooperation. (shrink)

La recherche empirique et philosophique récente remet en question l’idée selon laquelle raison et émotion sont nécessairement en conflit l’une avec l’autre. Pourtant, les philosophes des sciences ont été lents à réagir à cette recherche. Je soutiens qu’ils continuent à exclure l’émotion de leurs modèles du raisonnement scientifique, parce qu’ils considèrent qu’elle appartient typiquement au contexte de découverte plutôt qu’au contexte de justification. Je suggère toutefois, en prenant pour exemple le fiabilisme, que des travaux récents en épistémologie remettent en cause (...) l’autorité généralement accordée à la distinction entre ces contextes. On peut considérer que l’émotion joue un rôle fiable dans la formation des croyances scientifiques, ce qui pour le fiabiliste signifie également leur justification. (shrink)

Disease transmission is a fruitful domain in which to examine how scientific and folk theories interrelate, given laypeople’s access to multiple sources of information to explain events of personal significance. The current paper reports an in-depth survey of U.S. adults’ causal reasoning about two viral illnesses: a novel, deadly disease that has massively disrupted everyone’s lives, and a familiar, innocuous disease that has essentially no serious consequences. Participants received a series of closed-ended and open-ended questions probing their reasoning about disease (...) transmission, with a focus on causal mechanisms underlying disease contraction, transmission, treatment, and prevention; non-visible biological processes; and ontological frameworks regarding what kinds of entities viruses are. We also assessed participants’ attitudes, such as their trust in scientific experts and willingness to be vaccinated. Results indicated complexity in people’s reasoning, consistent with the co-existence of multiple explanatory frameworks. An understanding of viral transmission and viral replication existed alongside folk theories, placeholder beliefs, and lack of differentiation between viral and non-viral disease. For example, roughly 40% of participants who explained illness in terms of the transmission of viruses also endorsed a non-viral folk theory, such as exposure to cold weather or special foods as curative. Additionally, participants made use of competing modes of construal when explaining how viruses operate, such as framing the immune system response as cells trying to fight off the virus. Indeed, participants who displayed greater knowledge about viral transmission were significantly more likely to anthropomorphize bodily processes. Although comparisons of COVID-19 and the common cold revealed relatively few differences, the latter, more familiar disease elicited consistently lower levels of accuracy and greater reliance on folk theories. Moreover, for COVID-19 in particular, accuracy positively correlated with attitudes, self-protective behaviors, and willingness to be vaccinated. For both diseases, self-assessed knowledge about the disease negatively predicted accuracy. The results are discussed in relation to challenges for formal models of explanatory reasoning. (shrink)