Julia Bursten

Sometimes the right book finds you at the right time, and it shifts your perception of a familiar subject just a little, just enough to make a difference. It reminds you of something important you haven’t thought of in a while, or it shows you a new way of looking at and interacting with the world. Last winter, for me, that book was The Disappearing Spoon, by Sam Kean. I heard a very fuzzy description of the book at a holiday party, something about the periodic table and political history. As someone eternally interested in chemistry and its impact on society at large, I was intrigued

Recent accounts of multiscale modeling investigate ontic and epistemic constraints imposed by relations between component models at varying relative scales (macro, meso, micro). These accounts often focus especially on the role of the meso, or intermediate, relative scale in a multiscale model. We aid this effort by highlighting a novel role for mesoscale models: they can function as a focal point, and rationale, for disagreement between researchers who otherwise share theoretical commitments. We illustrate with a case study in multiscale modeling of insect behavior, arguing that the cognitive map debate in neuroethology research is best understood as a mesoscale disagreement.

We introduce a novel form of experimental knowledge that is the result of institutionally structured communication practices between farmers and university- and local community-based agronomists (agricultural extension specialists). This form of knowledge is exemplified in these communities’ uses of the concept of grower standard. Grower standard is a widely used but seldom discussed benchmark concept underpinning protocols used within agricultural experiments. It is not a one-size-fits-all standard but the product of local and active interactions between farmers and agricultural extension specialists. Grower standard is in some ways similar to more familiar epistemic objects discussed in philosophy of experiment, such as controls or background conditions. However, we argue that grower standard is epistemically novel, due to how knowledge arising from it is coproduced by farmers and agricultural extension specialists. Further, in the United States, this knowledge coproduction is institutionally structured by federal legislature dating back to the 19th century. We use our analysis of grower standard to focus a discussion of the positionality of the coproducers as well as the epistemic products of this form of knowledge coproduction, and we explore the role extension work plays in shaping agricultural science more broadly.

This article examines the distinction between active matter and active materials, and it offers foundational remarks toward a system of classification for active materials. Active matter is typically identified as matter that exhibits two characteristic features: self-propelling parts, and coherent dynamical activity among the parts. These features are exhibited across a wide range of organic and inorganic materials, and they are jointly sufficient for classifying matter as active. Recently, the term “active materials” has entered scientific use as a complement, supplement, and extension of “active matter.” At the same time, new work in the philosophy of science has considered the problem of how to classify the products of synthetic and laboratory processes, and the extent to which the aims of classifying natural kinds compare and contrasts with the aims of classifying these synthetic kinds. In this article, I apply those considerations to the problems of classifying and characterizing active materials. In doing so, I also argue for a conception of active materials’ coherent dynamical activity as multiscale, rather than emergent, and I discuss how the special non-equilibrium status of active materials factors in to classificatory concerns.

While the use of archives is common as a research methodology in the history and philosophy of science, training in archival methods is more often encountered as part of graduate-level training than in the undergraduate curriculum. Because many HPS instructors are likely to have encountered archival methods during their own research training, they are uniquely positioned to make effective pedagogical use of archives in classes comprised of undergraduate science students. Further, because doing this may require changing the way HPS instructors think about the aims and varieties of archival research, archivists themselves can be valuable resources in developing archives-based learning activities for science students in HPS classrooms. In this article, we describe an archives-based learning activity developed for a population of primarily pre-medical students in a healthcare ethics class and discuss the pedagogical benefits of this activity. This activity was developed via a collaboration between an HPS instructor and an education archivist. Our hope is that this discussion may serve both as a proof of concept for the use of archives-based learning activities as tools for teaching HPS to science students, and as an argument for the unique benefits that archival engagement can impart to science students.

Vocal fry is a phonation, or voicing, in which an individual drops their voice below its natural register and consequently emits a low, growly, creaky tone of voice. Media outlets have widely acknowledged it as a generational vocal style characteristic of millennial women. Critics of vocal fry often claim that it is an exclusively female vocal pattern, and some say that the voicing is so distracting that they cannot understand what is being said under the phonation. Claiming that a phonation is so distracting as to prevent uptake of the semantic content of an utterance associated with it is an extreme reaction, especially when accompanied by demands for women to change their phonation. We argue that this reaction limits women's communicative autonomy. We analyze the extreme reaction to female vocal fry, which we characterize as a non-content-based response, from the perspectives of philosophy of language, feminist epistemology, and linguistics. We argue that when fry is heard as annoying and distracting, it is because the hearer interprets the speaker as echoing an utterance from a position of authority to which she is not entitled. We show that this reaction encodes conscious or unconscious sexist attitudes toward women's voices.

As the demand for explainable deep learning grows in the evaluation of language technologies, the value of a principled grounding for those explanations grows as well. Here we study the state-of-the-art in explanation for neural models for natural-language processing (NLP) tasks from the viewpoint of philosophy of science. We focus on recent evaluation work that finds brittleness in explanations obtained through attention mechanisms.We harness philosophical accounts of explanation to suggest broader conclusions from these studies. From this analysis, we assert the impossibility of causal explanations from attention layers over text data. We then introduce NLP researchers to contemporary philosophy of science theories that allow robust yet non-causal reasoning in explanation, giving computer scientists a vocabulary for future research

ABSTRACT I propose a division of the literature on natural kinds into metaphysical worries, semantic worries, and methodological worries. I argue that the latter set of worries, which concern how classification influences scientific practices, should occupy centre stage in philosophy of science discussions about natural kinds. I apply this methodological framework to the problems of classifying chemical species and nanomaterials. I show that classification in nanoscience differs from classification in chemistry because the latter relies heavily on compositional identity, whereas the former must consider additional properties, namely, size, shape, and surface chemistry. I use this difference to argue for a scale-dependent theory of scientific classification. _1_ Introduction _2_ The Methodological Problem of Kinds _3_ Chemical Kindhood: Reactivity, Microstructure, and the Structure–Property Paradigm _4_ Scale-Dependence and Nanoscale Kinds _5_ Conclusion

Recently, macroscopic accounts of chemical kind individuation have been proposed as alternatives to the microstructural essentialist account advocated by Kripke, Putnam, and others. These accounts argue that individuation of chemical kinds is based on macroscopic criteria such as reactivity or thermodynamics, and they challenge the essentialism that grounds the Kripke-Putnam view. Using a variety of chemical examples, I argue that microstructure grounds these macroscopic accounts, but that this grounding need not imply essentialism. Instead, kinds are individuated on the basis of similarity of reactivity between substances, and microstructure explains similarity of reactivity

Winsberg's "handshaking" account of inter-model relations is a well-known theory of multiscale modeling in physical systems. Winsberg argues that relations among the component models in a multiscale modeling system are not related mereologically, but rather by empirically determined algorithms. I argue that while the handshaking account does demonstrate the existence of non-mereological relationships among component models, Winsberg does not attend to the different ways in which handshaking algorithms are developed. By overlooking the distinct strategies employed in different handshake models, Winsberg's account fails to capture the central feature of effective multiscale modeling practices, namely, how the dominant behaviors of the modeled systems vary across the different scales, and how this variation constrains the ways modelers can combine component models. Using Winsberg's example of nanoscale crack propagation, I distinguish two modes of handshaking and show how the different modes arise from the scale-dependent physics involved in each component model.