Early modern medicine was much more dependent on the senses than its contemporary counterpart. Although a comprehensive medical theory existed that assigned great value to taste and odor of medicaments, historical descriptions of taste and odor appears imprecise and inconsistent to modern eyes. How did historical actors move from subjective experience of taste and odor to culturally stable agreements that facilitated communication about the sensory properties of medicaments? This paper addresses this question, not by investigating texts, but by going straight (...) to the sensory impression, which certain substances convey. The aim is not to overwrite or rectify historical descriptions but to investigate whether modern methodologies for sensory assessment can be enlisted to understand the past. We draw on history of science for framing and research questions, pharmaceutical science for knowledge of pharmaceuticals and preparations, and food and meal science for assaying procedures and protocols. We show that sensory evaluation can yield precise descriptions that would not have been alien to early modern medicine makers. However, there are problems with translating descriptions of taste between different historical contexts. By comparing contemporary descriptions of sensations with eighteenth‐century ones, the article discusses how sensory descriptions are highly dependent on context, and subject to historical change. (shrink)

The social brain hypothesis implies that humans and other primates evolved “modules“ for representing social knowledge. Alternatively, no such cognitive specializations are needed because social knowledge is already present in the world — we can simply monitor the dynamics of social interactions. Given the latter idea, what mechanism could account for coalition formation? We propose that statistical learning can provide a mechanism for fast and implicit learning of social signals. Using human participants, we compared learning of social signals with arbitrary (...) signals. We found that learning of social signals was no better than learning of arbitrary signals. While coupling faces and voices led to parallel learning, the same was true for arbitrary shapes and sounds. However, coupling versus uncoupling social signals with arbitrary signals revealed that faces and voices are treated with perceptual priority. Overall, our data suggest that statistical learning is a viable domain-general mechanism for learning social group structure. Keywords: social brain; embodied cognition; distributed cognition; situated cognition; multisensory; audiovisual speech; crossmodal; multimodal. (shrink)

The social brain hypothesis implies that humans and other primates evolved “modules” for representing social knowledge. Alternatively, no such cognitive specializations are needed because social knowledge is already present in the world — we can simply monitor the dynamics of social interactions. Given the latter idea, what mechanism could account for coalition formation? We propose that statistical learning can provide a mechanism for fast and implicit learning of social signals. Using human participants, we compared learning of social signals with arbitrary (...) signals. We found that learning of social signals was no better than learning of arbitrary signals. While coupling faces and voices led to parallel learning, the same was true for arbitrary shapes and sounds. However, coupling versus uncoupling social signals with arbitrary signals revealed that faces and voices are treated with perceptual priority. Overall, our data suggest that statistical learning is a viable domain-general mechanism for learning social group structure. Keywords: social brain; embodied cognition; distributed cognition; situated cognition; multisensory; audiovisual speech; crossmodal; multimodal. (shrink)

Philosophy and anaesthesiology are disciplines that are rarely associated despite their respective interests in human consciousness. In this paper, we consider the advantages of integrating anaesthesiology and philosophy in the endeavour of discovering the neural correlates of state consciousness. We venture the following twopart argument. First, we argue that philosophical debates about the correlation conditions for state consciousness can be improved by focusing on how anaesthesiologists actually measure and study consciousness in practice. We present Integrated Information Theory as a promising (...) framework for discriminating features hitherto considered relevant to the identification of the neural correlates of state consciousness. Second, we argue that an improved philosophical understanding of what comprises the correlation conditions for state consciousness can, in turn, advance anaesthesiological methodologies; not only can it improve how potential evidence is gathered and assessed, but it can aid in the prevention of intraoperative awareness, increasing patient safety and well-being. (shrink)

J. W. Goethe is well known as one of the world's greatest poets. Some are also aware that throughout his long and active life Goethe devoted much of his time to natural science. His theory of colour and studies in the morphology of plants are acknowledged contributions in their fields. What is much less known is that in his scientific work Goethe was attempting to elaborate and justify a new basic methodology for the natural sciences. He opposed and wished to (...) refute the one-sided quantitative-mechanistic method which had been dominant since Galileo and Newton (and in principle still prevails today) and to set up against it a qualitative method. An essential characteristic of this qualitative method, according to Goethe, is that it is immune to a Humean reduction of the status of 'natural laws' to mere hypotheses. This claim makes Goethe's view directly relevant for current discussion of such questions as the status of scientific 'laws' and the correct method of theory construction. The present essay tries to show the fruitfulness of Goethe's view for such discussions, partly by means of an exposition of the view — drawn from various works — and partly by drawing consequences from it which bring it into direct contact with contemporary discussions in philosophy of science. (shrink)

The size and variation in both meaning-making and populations that characterize much contemporary text data demand research processes that support both discovery, interpretation and measurement. We assess one dominant strategy within the social sciences that takes a computer-led approach to text analysis. The approach is coined computational grounded theory. This strategy, we argue, relies on a set of unwarranted assumptions, namely, that unsupervised models return natural clusters of meaning, that the researcher can understand text with limited immersion and that indirect (...) validation is sufficient for ensuring unbiased and precise measurement. In response to this criticism, we develop a framework that is computer assisted. We argue that our reformulation of computational grounded theory better aligns with the principles within grounded theory, anthropological theory generation and ethnography. (shrink)

Die operationale Definitionsweise; Umsetzung nominell beschriebener Typenbegriffe in operational beschriebene und die Transformation von Typologien in Systeme von Faktoren.

The era of ‘big data’ studies and computational social science has recently given rise to a number of realignments within and beyond the social sciences, where otherwise distinct data formats – digital, numerical, ethnographic, visual, etc. – rub off and emerge from one another in new ways. This article chronicles the collaboration between a team of anthropologists and sociologists, who worked together for one week in an experimental attempt to combine ‘big’ transactional and ‘small’ ethnographic data formats. Our collaboration is (...) part of a larger cross-disciplinary project carried out at the Danish Technical University, where high-resolution transactional data from smartphones allows for recordings of social networks amongst a freshman class. With a parallel deployment of ethnographic fieldwork among the DTU students, this research set-up raises a number of questions concerning how to assemble disparate ‘data-worlds’ and to what epistemological and political effects? To address these questions, a specific social event – a lively student party – was singled out from the broader DTU dataset. Our experimental collaboration used recordings of Bluetooth signals between students’ phones to visualize the ebb and flow of social intensities at the DTU party, juxtaposing these with ethnographic field-notes on shifting party atmospheres. Tracing and reflecting on the process of combining heterogeneous data, the article offers a concrete case of how a ‘stitching together’ of digital and ethnographic data-worlds might take place. (shrink)

El texto es una traducción de la conferencia que Hannah Arendt dió en la Rand School of Social Science en 1962. Retoman importancia sus palabras en torno al argumento del analísis filosófico de la técnica y especialmente frente a producciones cinematográficas como Oppenheimer y nuevas tecnologías como la inteligencia artificial y los drones usados en la invasión a Ucrania.

Cet ouvrage est une réédition numérique d’un livre paru au XXe siècle, désormais indisponible dans son format d’origine.

Through the exponential growth in digital devices and computational capabilities, big data technologies are putting pressure upon the boundaries of what can or cannot be considered acceptable from an ethical perspective. Much of the literature on ethical issues related to big data and big data technologies focuses on separate values such as privacy, human dignity, justice or autonomy. More holistic approaches, allowing a more comprehensive view and better balancing of values, usually focus on either a design-based approach, in which it (...) is tried to implement values into the design of new technologies, or an application-based approach, in which it is tried to address the ways in which new technologies are used. Some integrated approaches do exist, but typically are more general in nature. This offers a broad scope of application, but may not always be tailored to the specific nature of big data related ethical issues. In this paper we distil a comprehensive set of ethical values from existing design-based and application-based ethical approaches for new technologies and further focus these values to the context of emerging big data technologies. A total of four value lists were selected for this. The integrated list consists of a total of ten values: human welfare, autonomy, non-maleficence, justice, accountability, trustworthiness, privacy, dignity, solidarity and environmental welfare. Together, this set of values provides a comprehensive and in-depth overview of the values that are to be taken into account for emerging big data technologies. (shrink)

In this paper I offer the term “potato ethics” to describe a particular professional rural health sensibility. I contrast this attitude with the sensibility behind urban professional ethics, which often focus on the narrow doctor–patient treatment relationship. The phrase appropriates a Swedish metaphor, the image of the potato as a humble side dish: plain, useful, versatile, and compatible with any main course. Potato ethics involves making oneself useful, being pragmatic, choosing to be like an invisible elf who prevents discontinuity rather (...) than a more visible observer of formal rules and assigned tasks. It also includes actively taking part in everyday disaster-prevention and fully recognizing the rural context as a vulnerable space. This intersectional argument, which emphasizes the ongoing, holistic responsibility of those involved in rural communities, draws on work from the domains of care ethics, relational ethics, pragmatic psychology, feminist ethics of embodiment, social location theory, and reflections on geographical narcissism. (shrink)

This handsomely produced volume contains 22 contributions from international scholars, which were originally presented at the 2000 Conference of the International Society for Phenomenology, Fine Arts, & Aesthetics. The papers center around the theme of gardens and include a wide range of topics of interest to phenomenologists but also, perhaps, to gardeners with a philosophical bent. A sampling of topics: Leonardo's Annunciation Hortus Conclusus and its reflexive intent; hatha yoga--a phenomenological experience of nature; the Chinese attempt to miniaturize the world (...) in gardens; conflating and compressing time in commodified space and architecture; constructing the deconstructive landscape (the ruin aesthetic); and a phenomenological-anthropological aproach to Zen gardens. The volume is lightly indexed by name (mostly philosophers). Annotation (c)2003 Book News, Inc., Portland, OR (booknews.com). (shrink)

This article advocates for a hermeneutic model for children-AI interactions in which the desirable purpose of children’s interaction with artificial intelligence systems is children's growth. The article perceives AI systems with machine-learning components as having a recursive element when interacting with children. They can learn from an encounter with children and incorporate data from interaction, not only from prior programming. Given the purpose of growth and this recursive element of AI, the article argues for distinguishing the interpretation of bias within (...) the artificial intelligence ethics and responsible AI discourse. Interpreting bias as a preference and distinguishing between positive and negative bias is needed as this would serve children's healthy psychological and moral development. The human-centric AI discourse advocates for an alignment of capacities of humans and capabilities of machines by a focus both on the purpose of humans and on the purpose of machines for humans. The emphasis on mitigating negative biases through data protection, AI law, and certain value-sensitive design frameworks demonstrates that the purpose of the machine for humans is prioritized over the purpose of humans. These top–down frameworks often narrow down the purpose of machines to do-no-harm and they miss accounting for the bottom-up views and developmental needs of children. Therefore, applying a growth model for children-AI interactions that incorporates learning from negative AI-mediated biases and amplifying positive ones would positively benefit children’s development and children-centric AI innovation. Consequently, the article explores: What challenges arise from mitigating negative biases and amplifying positive biases in children-AI interactions and how can a growth model address these? To answer this, the article recommends applying a growth model in open AI co-creational spaces with and for children. In such spaces human–machine and human–human value alignment methods can be collectively applied in such a manner that children can become sensitized toward the effects of AI-mediated negative biases on themselves and others; enable children to appropriate and imbue top-down values of diversity, and non-discrimination with their meanings; enforce children’s right to identity and non-discrimination; guide children in developing an inclusive mindset; inform top-down normative AI frameworks by children’s bottom-up views; contribute to design criteria for children-centric AI. Applying such methods under a growth model in AI co-creational spaces with children could yield an inclusive co-evolution between responsible young humans in the loop and children-centric AI systems. (shrink)