REASON AND COMMON SENSE REASON AND COMMON SENSE AN INQUIRY INTO SOME PROBLEMS OF PHILOSOPHY by R. G. MAYOR with a Preface by SIR DESMOND MACCARTHY, L. L. D. ...

Microbial diversity has become a leitmotiv of contemporary microbiology, as epitomized in the concept of the microbiome, with significant consequences for the classification of microbes. In this paper, I contrast microbiology’s current diversity ideal with its influential predecessor in the twentieth century, that of purity, as epitomized in Robert Koch’s bacteriological culture methods. Purity and diversity, the two polar opposites with regard to making sense of the microbial world, have been operationalized in microbiological practice by tools such as the (...) “clean” Petri dish versus the “dirty” Winogradsky column, the latter a container that mimics, in the laboratory, the natural environment that teems with diverse microbial life. By tracing the impact of the practices and concepts of purity and diversity on microbial classification through a history of techniques, tools, and manuals, I show the shifts in these concepts over the last century. Juxtaposing the dominant purity ideal with the more restricted, but continuously articulated, diversity ideal in microbial ecology not only provides a fresh perspective on microbial classification that goes beyond its intellectual history, but also contextualizes the present focus on diversity. By covering the period of a century, this paper outlines a revised longue durée historiography that takes its inspiration from artifacts, such as Petri dish and the Winogradsky column, and thereby simple, but influential technologies that often remain invisible. This enables the problem of historical continuity in modern science to be addressed and the accelerationist narratives of its development to be countered. (shrink)

Microbial diversity has become a leitmotiv of contemporary microbiology, as epitomized in the concept of the microbiome, with significant consequences for the classification of microbes. In this paper, I contrast microbiology’s current diversity ideal with its influential predecessor in the twentieth century, that of purity, as epitomized in Robert Koch’s bacteriological culture methods. Purity and diversity, the two polar opposites with regard to making sense of the microbial world, have been operationalized in microbiological practice by tools such as the (...) “clean” Petri dish versus the “dirty” Winogradsky column, the latter a container that mimics, in the laboratory, the natural environment that teems with diverse microbial life. By tracing the impact of the practices and concepts of purity and diversity on microbial classification through a history of techniques, tools, and manuals, I show the shifts in these concepts over the last century. Juxtaposing the dominant purity ideal with the more restricted, but continuously articulated, diversity ideal in microbial ecology not only provides a fresh perspective on microbial classification that goes beyond its intellectual history, but also contextualizes the present focus on diversity. By covering the period of a century, this paper outlines a revised longue durée historiography that takes its inspiration from artifacts, such as Petri dish and the Winogradsky column, and thereby simple, but influential technologies that often remain invisible. This enables the problem of historical continuity in modern science to be addressed and the accelerationist narratives of its development to be countered. (shrink)

Self-experimentation is a valuable companion to self-management in the benefit of pharmaco-cognitive-behavior combination therapies. However, data on individuals participating as active therapeutic agents are sparse. Smoking cessation therapy is an example. Roberts' self-experimentation suggests trying more diversity in research to generate new ideas. This may inform current approaches to the cessation of smoking.

De beroemde Australische kunstcriticus Robert Hughes verdedigt het onschatbare in de kunst tegen commercie, hype en marketing. In deze Nexus-lezing van 2009 ontmaskert hij nietsontziend hedendaagse iconen als Damien Hirst, Jackson Pollack en Andy Warhol, en verguist hij een markt die de prijzen van kunstwerken tot absurde hoogten doen stijgen. Daartegenover stelt hij datgene wat kunst echt waardevol maakt: de vakmanschap, intensiteit en subtiliteit van waarlijk grote kunstenaars als Vermeer, Rembrandt en Goya.

Gascoigne, Robert A quick rollcall of Australian political life demonstrates a remarkable presence of Catholics in leadership positions, including the Governor-General, Sir Peter Cosgrove; the Prime Minister, Tony Abbott; the Leader of the Federal Opposition, Bill Shorten; the two immediate past premiers of New South Wales, Barry O'Farrell and Kristina Keneally; the previous Governor of New South Wales, Dame Marie Bashir; and the Lord Mayor of the City of Sydney, Clover Moore; among others. Indeed, in the immediate past (...) Federal Labor Cabinet, there were three members from just one Catholic school, St Patrick's Christian Brothers College, Strathfield, Sydney, just as there are four old boys of Jesuit colleges in the current Coalition Cabinet. It is noteworthy that there have been relatively few attempts in public commentary and debate to draw attention to this strong cross-party presence. I believe that this is essentially because it is clear that these Catholic political leaders do not represent any kind of ecclesial or communal political bloc, but are manifestly divergent in their political stances and allegiances. Previous linkages between Catholic religious identity and political allegiance have now become obsolete. Our current situation has positive aspects demonstrating a willingness by many Australian Catholics to take up political responsibilities within a context of political pluralism against a background of democratic consensus. Yet it also raises a number of questions about ecclesial identity and formation: What is the political - and ethical - presence and character of the Catholic ecclesial community in Australia, given the considerable divergence of political stances? To what extent does Catholic social teaching function as an agreed resource and inspiration? What is the character of shared membership of the church in the context of vigorously contested and divergent political allegiances? (shrink)

A burgeoning policy shift from neo-liberal economics is underway, with leadership by presidential candidate Dennis Kucinich (D-Ohio). His platform positions stem in part from his negative experiences with neo-liberalism when he was Mayor of Cleveland more than 30 years ago. Although his response as Mayor was based on confrontation politics, examples of community-based economies built on collaborative planning, ownership, and management have since become more widely known. We can now show that the successful Grameen Bank and the Mondragon (...) Cooperatives were constructed on principles consistent with Integral Science. (shrink)

China es el mayor desafío económico de Europa. La aspiración de China por el dominio geopolítico, económico y tecnológico está tensionando gravemente sus relaciones con Europa, que se encuentran en una clara trayectoria descendente. Las posiciones se han endurecido por ambas partes, con China volviéndose económicamente hacia adentro y la Unión Europea etiquetando a China como un competidor total, con limitadas áreas para el compromiso. El enfoque de China es a largo plazo y estratégico, explotando las divisiones internas de (...) la UE y la débil cooperación transatlántica con Estados Unidos. A China le gustaría tener acceso a tecnologías avanzadas con posibles aplicaciones militares, y ha adquirido puertos europeos y otras infraestructuras estratégicas. A través de la Iniciativa de la Franja y la Ruta, se ha convertido en el mayor acreedor bilateral del mundo. En último término, China busca revisar la arquitectura económica internacional y “reescribir las reglas del juego”. La respuesta de Europa no ha estado bien coordinada, ha sido a corto plazo y fragmentaria, lo que refleja las divisiones internas en la Unión. Para responder eficazmente al desafío de China, Europa necesita superar los intereses nacionales, cooperar con sus aliados y actuar más estratégicamente. (shrink)

The dominant image of courts as agencies of trial and judgment has a long history in the common law world. Yet across that region sponsorship of settlement is now widely identified as the courts’ primary responsibility, transforming them into sites where the profoundly different rationalities that ground negotiated agreement increasingly supersede those of rule-based adjudication. This study examines the work of one English court—the Mayor's and City of London Court—in sponsoring settlement and considers how that role is legitimated on (...) both propositional and symbolic levels. This evolving role raises questions about the Victorian court premises themselves. How are we to regard the now frequently empty courtrooms, designed for trial and judgment and decorated with Gothic elevations linking them symbolically with processes of medieval kingship? Should we simply see this Victorian site of contemporary settlement processes as no more than the quaint residue of a vanished era? Or can these historic features retain potency and relevance at a symbolic level, providing legitimacy for bilateral negotiation rather than the open processes of trial and judgment for which they were originally constructed? (shrink)

Issues of reliability are claiming center-stage in the epistemology of machine learning. This paper unifies different branches in the literature and points to promising research directions, whilst also providing an accessible introduction to key concepts in statistics and machine learning---as far as they are concerned with reliability.

Various publications claim that medical AI systems perform as well, or better, than clinical experts. However, there have been very few controlled trials and the quality of existing studies has been called into question. There is growing concern that existing studies overestimate the clinical benefits of AI systems. This has led to calls for more, and higher-quality, randomized controlled trials of medical AI systems. While this a welcome development, AI RCTs raise novel methodological challenges that have seen little discussion. We (...) discuss some of the challenges arising in the context of AI RCTs and make some suggestions for how to meet them. (shrink)

In recent years, a plethora of high-profile scientific publications has been reporting about machine learning algorithms outperforming clinicians in medical diagnosis or treatment recommendations. This has spiked interest in deploying relevant algorithms with the aim of enhancing decision-making in healthcare. In this paper, we argue that instead of straightforwardly enhancing the decision-making capabilities of clinicians and healthcare institutions, deploying machines learning algorithms entails trade-offs at the epistemic and the normative level. Whereas involving machine learning might improve the accuracy of medical (...) diagnosis, it comes at the expense of opacity when trying to assess the reliability of given diagnosis. Drawing on literature in social epistemology and moral responsibility, we argue that the uncertainty in question potentially undermines the epistemic authority of clinicians. Furthermore, we elucidate potential pitfalls of involving machine learning in healthcare with respect to paternalism, moral responsibility and fairness. At last, we discuss how the deployment of machine learning algorithms might shift the evidentiary norms of medical diagnosis. In this regard, we hope to lay the grounds for further ethical reflection of the opportunities and pitfalls of machine learning for enhancing decision-making in healthcare. (shrink)

A sourcebook for developing and facilitating collaborative groups capable of continuously adapting to anticipate the evolving learning needs of students. Based on a theoretical foundation of schools as complex systems in which linear management models are no longer sufficient.

The use of machine learning systems for decision-support in healthcare may exacerbate health inequalities. However, recent work suggests that algorithms trained on sufficiently diverse datasets could in principle combat health inequalities. One concern about these algorithms is that their performance for patients in traditionally disadvantaged groups exceeds their performance for patients in traditionally advantaged groups. This renders the algorithmic decisions unfair relative to the standard fairness metrics in machine learning. In this paper, we defend the permissible use of affirmative algorithms; (...) that is, algorithms trained on diverse datasets that perform better for traditionally disadvantaged groups. Whilst such algorithmic decisions may be unfair, the fairness of algorithmic decisions is not the appropriate locus of moral evaluation. What matters is the fairness of final decisions, such as diagnoses, resulting from collaboration between clinicians and algorithms. We argue that affirmative algorithms can permissibly be deployed provided the resultant final decisions are fair. (shrink)

What are the driving forces of cultural macroevolution, the evolution of cultural traits that characterize societies or populations? This question has engaged anthropologists for more than a century, with little consensus regarding the answer. We develop and fit autologistic models, built upon both spatial and linguistic neighbor graphs, for 44 cultural traits of 172 societies in the Western North American Indian (WNAI) database. For each trait, we compare models including or excluding one or both neighbor graphs, and for the majority (...) of traits we find strong evidence in favor of a model which uses both spatial and linguistic neighbors to predict a trait’s distribution. Our results run counter to the assertion that cultural trait distributions can be explained largely by the transmission of traits from parent to daughter populations and are thus best analyzed with phylogenies. In contrast, we show that vertical and horizontal transmission pathways can be incorporated in a single model, that both transmission modes may indeed operate on the same trait, and that for most traits in the WNAI database, accounting for only one mode of transmission would result in a loss of information. (shrink)

Broad in its geographic scope and yet grounded in original archival research, this book situates the inception of modern aesthetic theory – the philosophical analysis of art and beauty - in theological contexts that are crucial to explaining why it arose. Simon Grote presents seminal aesthetic theories of the German and Scottish Enlightenments as outgrowths of a quintessentially Enlightenment project: the search for a natural 'foundation of morality' and a means of helping naturally self-interested human beings transcend their own (...) self-interest. This conclusion represents an important alternative to the standard history of aesthetics as a series of preludes to the achievements of Immanuel Kant, as well as a reinterpretation of several canonical figures in the German and Scottish Enlightenments. It also offers a foundation for a transnational history of the Enlightenment without the French philosophes at its centre, while solidly endorsing historians' growing reluctance to call the Enlightenment a secularising movement. (shrink)

In his Twentieth-Century American Philosophy Through Nineteen Portraits, Dr. Maior S. Kelner plumbs original sources to create biographical sketches, in philosophical and historical context, of the 19 greatest contributors to the development of philosophy in the twentieth century United States.The volume consists of 18 author's sheets, with a table of contents, a foreword, six chapters, explanatory notes, an epilogue, a selective bibliography. It is intended for philosophers, historians, and those interested in cultural history, and may be used as a textbook (...) on the history of American philosophy. (shrink)

Develops a theory of culture based on a metaphysics that elaborates on the Platonic and Confucian traditions. In Metaphysics of Goodness, Robert Cummings Neville extends Alfred North Whitehead’s project of cultural studies, which was based on a new metaphysics that Whitehead developed in Adventures of Ideas. Neville’s focus is value or goodness in many modes. The metaphysics treated in this book derive from the Platonic and Confucian traditions, with significant modifications of Whitehead, Peirce, Dewey, Confucius, Xunzi, and Zhou Dunyi. (...) Part one develops a theory of form based on a metaphysics of harmony. Part two elaborates a theory of art based on a metaphysics of beauty. Part three sketches a theory of personhood based on a metaphysics of obligation. Part four discusses civilization in a systematic way based on a metaphysics of flourishing. Throughout the book, Neville elaborates a theory of interpretation that is inspired by Peirce, Dewey, and Xunzi but is not limited to their ideas. While the reasoning of the book is concise, it employs methodologies from many kinds of philosophy, art criticism, ethics, and cultural studies, and sees philosophy as needing to learn from all these disciplines. “Neville’s work is informed by a lifelong engagement with the most important philosophers in history, including Plato, Aristotle, Whitehead, and Dewey. Here, he offers an important argument that there is beauty not only in how people see the world, but also in the world itself.” — Kevin Schilbrack, Appalachian State University. (shrink)

Volume: 4 Publisher: London J. Murray Publication date: 1888 Subjects: Plato Socrates Philosophy, Ancient Notes: This is an OCR reprint.

Best known for his influential History of Greece, the historian and politician George Grote wrote this account of Plato's dialogues as a philosophical supplement to the History. First published in 1865 and written in dialogic form, Grote's account of Plato's works includes substantial footnotes and marginalia. This first volume focuses on Plato's early and transitional dialogues, all of which feature Socrates. It also includes a preface to the whole project which discusses the meaning and importance of philosophy itself, (...) and extensive introductory material on pre-Socratic philosophy, the life of Plato and history of the Platonic canon. With three volumes each running to over six hundred pages, Grote's scholarship is formidably comprehensive. The publication of Plato and the Other Companions of Sokrates confirmed him as one of the greatest authorities on Plato in the nineteenth century. (shrink)

In recent years, there has been a surge of high-profile publications on applications of artificial intelligence (AI) systems for medical diagnosis and prognosis. While AI provides various opportunities for medical practice, there is an emerging consensus that the existing studies show considerable deficits and are unable to establish the clinical benefit of AI systems. Hence, the view that the clinical benefit of AI systems needs to be studied in clinical trials—particularly randomised controlled trials (RCTs)—is gaining ground. However, an issue that (...) has been overlooked so far in the debate is that, compared with drug RCTs, AI RCTs require methodological adjustments, which entail ethical challenges. This paper sets out to develop a systematic account of the ethics of AI RCTs by focusing on the moral principles of clinical equipoise, informed consent and fairness. This way, the objective is to animate further debate on the (research) ethics of medical AI. (shrink)

The application of machine-learning technologies to medical practice promises to enhance the capabilities of healthcare professionals in the assessment, diagnosis, and treatment, of medical conditions. However, there is growing concern that algorithmic bias may perpetuate or exacerbate existing health inequalities. Hence, it matters that we make precise the different respects in which algorithmic bias can arise in medicine, and also make clear the normative relevance of these different kinds of algorithmic bias for broader questions about justice and fairness in healthcare. (...) In this paper, we provide the building blocks for an account of algorithmic bias and its normative relevance in medicine. (shrink)

Berichte zur Wissenschaftsgeschichte, EarlyView.

This paper develops an account of how the implementation of ML models into healthcare settings requires revising the methodological apparatus of philosophical bioethics. On this account, ML models are cognitive interventions that provide decision-support to physicians and patients. Due to reliability issues, opaque reasoning processes, and information asymmetries, ML models pose inferential problems for them. These inferential problems lay the grounds for many ethical problems that currently claim centre-stage in the bioethical debate. Accordingly, this paper argues that the best way (...) to make progress in remedying these ethical problems is to distil their epistemic core and to identify appropriate epistemic norms as guardrails. The viability of this approach will be highlighted based on four key issues: trust, responsibility, paternalism, and fairness. In that respect, the paper also contributes to a more pronounced view of the specific methodological challenges for ethical theorizing, when the point of reference are complex statistical models that make predictions, rather than individual agents, acting for reasons. (shrink)

The term robustness is ubiquitous in modern Machine Learning (ML). However, its meaning varies depending on context and community. Researchers either focus on narrow technical definitions, such as adversarial robustness, natural distribution shifts, and performativity, or they simply leave open what exactly they mean by robustness. In this paper, we provide a conceptual analysis of the term robustness, with the aim to develop a common language, that allows us to weave together different strands of robustness research. We define robustness as (...) the relative stability of a robustness target with respect to specific interventions on a modifier. Our account captures the various sub-types of robustness that are discussed in the research literature, including robustness to distribution shifts, prediction robustness, or the robustness of algorithmic explanations. Finally, we delineate robustness from adjacent key concepts in ML, such as extrapolation, generalization, and uncertainty, and establish it as an independent epistemic concept. (shrink)

We invite systematic consideration of the metaphors of cycles and circulation as a long-term theme in the history of the life and environmental sciences and medicine. Ubiquitous in ancient religious and philosophical traditions, especially in representing the seasons and the motions of celestial bodies, circles once symbolized perfection. Over the centuries cyclic images in western medicine, natural philosophy, natural history and eventually biology gained independence from cosmology and theology and came to depend less on strictly circular forms. As potent ‘canonical (...) icons’, cycles also interacted with representations of linear and irreversible change, including arrows, arcs, scales, series and trees, as in theories of the Earth and of evolution. In modern times life cycles and reproductive cycles have often been held to characterize life, in some cases especially female life, while human efforts selectively to foster and disrupt these cycles have harnessed their productivity in medicine and agriculture. But strong cyclic metaphors have continued to link physiology and climatology, medicine and economics, and biology and manufacturing, notably through the relations between land, food and population. From the grand nineteenth-century transformations of matter to systems ecology, the circulation of molecules through organic and inorganic compartments has posed the problem of maintaining identity in the face of flux and highlights the seductive ability of cyclic schemes to imply closure where no original state was in fact restored. More concerted attention to cycles and circulation will enrich analyses of the power of metaphors to naturalize understandings of life and their shaping by practical interests and political imaginations. (shrink)

Bioethics, Volume 36, Issue 2, Page 134-142, February 2022.

This paper argues that machine learning and epidemiology are on collision course over causation. The discipline of epidemiology lays great emphasis on causation, while ML research does not. Some epidemiologists have proposed imposing what amounts to a causal constraint on ML in epidemiology, requiring it either to engage in causal inference or restrict itself to mere projection. We whittle down the issues to the question of whether causal knowledge is necessary for underwriting predictions about the outcomes of public health interventions. (...) While there is great plausibility to the idea that it is, conviction that something is impossible does not by itself motivate a constraint to forbid trying. We disambiguate the possible motivations for such a constraint into definitional, metaphysical, epistemological, and pragmatic considerations and argue that “Proceed with caution” is the outcome of each. We then argue that there are positive reasons to proceed, albeit cautiously. Causal inference enforces existing classification schema prior to the testing of associational claims, but associations and classification schema are more plausibly discovered in a back-and-forth process of gaining reflective equilibrium. ML instantiates this kind of process, we argue, and thus offers the welcome prospect of uncovering meaningful new concepts in epidemiology and public health—provided it is not causally constrained. (shrink)

This essay considers how scholarly approaches to the development of molecular biology have too often narrowed the historical aperture to genes, overlooking the ways in which other objects and processes contributed to the molecularization of life. From structural and dynamic studies of biomolecules to cellular membranes and organelles to metabolism and nutrition, new work by historians, philosophers, and STS scholars of the life sciences has revitalized older issues, such as the relationship of life to matter, or of physicochemical inquiries to (...) biology. This scholarship points to a novel molecular vista that opens up a pluralist view of molecularizations in the twentieth century and considers their relevance to current science. (shrink)

Robert Batterman examines a form of scientific reasoning called asymptotic reasoning, arguing that it has important consequences for our understanding of the scientific process as a whole. He maintains that asymptotic reasoning is essential for explaining what physicists call universal behavior. With clarity and rigor, he simplifies complex questions about universal behavior, demonstrating a profound understanding of the underlying structures that ground them. This book introduces a valuable new method that is certain to fill explanatory gaps across disciplines.

In light of recent advances in machine learning for medical applications, the automation of medical diagnostics is imminent. That said, before machine learning algorithms find their way into clinical practice, various problems at the epistemic level need to be overcome. In this paper, we discuss different sources of uncertainty arising for clinicians trying to evaluate the trustworthiness of algorithmic evidence when making diagnostic judgments. Thereby, we examine many of the limitations of current machine learning algorithms (with deep learning in particular) (...) and highlight their relevance for medical diagnostics. Among the problems we inspect are the theoretical foundations of deep learning (which are not yet adequately understood), the opacity of algorithmic decisions, and the vulnerabilities of machine learning models, as well as concerns regarding the quality of medical data used to train the models. Building on this, we discuss different desiderata for an uncertainty amelioration strategy that ensures that the integration of machine learning into clinical settings proves to be medically beneficial in a meaningful way. (shrink)

This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work. This work is in the public domain (...) in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant. (shrink)

There is much to learn from Durán and Jongsma’s paper.1 One particularly important insight concerns the relationship between epistemology and ethics in medical artificial intelligence. In clinical environments, the task of AI systems is to provide risk estimates or diagnostic decisions, which then need to be weighed by physicians. Hence, while the implementation of AI systems might give rise to ethical issues—for example, overtreatment, defensive medicine or paternalism2—the issue that lies at the heart is an epistemic problem: how can physicians (...) know whether to trust decisions made by AI systems? In this manner, various studies examining the interaction of AI systems and physicians have shown that without being able to evaluate their trustworthiness, especially novice physicians become over-reliant on algorithmic support—and ultimately are led astray by incorrect decisions.3–5 This leads to a second insight from the paper, namely that even if some AI system happens to be opaque, it is still not built on the moon. To assess its trustworthiness, AI developers or physicians have different sorts of higher order evidence at hand. Most importantly, …. (shrink)

The term ‘cell’, in addition to designating fundamental units of life, has also been applied since the nineteenth century to technical apparatuses such as fuel and galvanic cells. This paper shows that such technologies, based on the electrical effects of chemical reactions taking place in containers, had a far-reaching impact on the concept of the biological cell. My argument revolves around the controversy over oxidative phosphorylation in bioenergetics between 1961 and 1977. In this scientific conflict, a two-level mingling of technological (...) culture, physical chemistry and biological research can be observed. First, Peter Mitchell explained the chemiosmotic hypothesis of energy generation by representing cellular membrane processes via an analogy to fuel cells. Second, in the associated experimental scrutiny of membranes, material cell models were devised that reassembled spatialized molecular processes in vitro. Cells were thus modelled both on paper and in the test tube not as morphological structures but as compartments able to perform physicochemical work. The story of cells and membranes in bioenergetics points out the role that theories and practices in physical chemistry had in the molecularization of life. These approaches model the cell as a ‘topology of molecular action’, as I will call it, and it involves concepts of spaces, surfaces and movements. They epitomize an engineer’s vision of the organism that has influenced diverse fields in today’s life sciences. (shrink)