This paper argues that, by construing emotion as epistemologically subversive, the Western tradition has tended to obscure the vital role of emotion in the construction of knowledge. The paper begins with an account of emotion that stresses its active, voluntary, and socially constructed aspects, and indicates how emotion is involved in evaluation and observation. It then moves on to show how the myth of dispassionate investigation has functioned historically to undermine the epistemic authority of women as well as other social (...) groups associated culturally with emotion. Finally, the paper sketches some ways in which the emotions of underclass groups, especially women, may contribute to the development of a critical social theory. (shrink)

Causal understanding is a defining characteristic of human cognition. Like many animals, human children learn to control their bodily movements and act effectively in the environment. Like a smaller subset of animals, children intervene: they learn to change the environment in targeted ways. Unlike other animals, children grow into adults with the causal reasoning skills to develop abstract theories, invent sophisticated technologies and imagine alternate pasts, distant futures and fictional worlds. In this Review, we explore the development of human-unique causal (...) learning and reasoning from evolutionary and ontogenetic perspectives. We frame our discussion using an ‘interventionist’ approach. First, we situate causal understanding in relation to cognitive abilities shared with non-human animals. We argue that human causal understanding is distinguished by its depersonalized (objective) and decontextualized (general) representations. Using this framework, we next review empirical findings on early human causal learning and reasoning and consider the naturalistic contexts that support its development. Then we explore connections to related abilities. We conclude with suggestions for ongoing collaboration between developmental, cross-cultural, computational, neural and evolutionary approaches to causal understanding. (shrink)

I’m often asked why, as a philosopher of science, I study archaeology. Philosophy is so abstract and intellectual, and archaeology is such an earth-bound, data-driven enterprise, what could the connection possibly be? This puzzlement takes a number of different forms. In one memorable exchange in the late 1970s when I was visiting Oxford as a graduate student an elderly don, having inquired politely about my research interests, tartly observed that archaeology isn’t a science, so I couldn’t possibly be writing a (...) dissertation in philosophy of science on archaeology. At job interviews a few years later a standard opening gambit was to ask: “so what’s philosophical about the work you do on archaeology” or, more querulously, “what could possibly be of philosophical interest in archaeology”? And from archaeologists, weary of the “theory wars” that raged through 1980s and 1990s, the standard question was, “What’s the point?! Better to step away from the wrangling about philosophical ‘isms’ and get on with the empirical work that needs doing.”. (shrink)

Alison Gopnik and Andrew Meltzoff have argued for a view they call the ‘theory theory’: theory change in science and children are similar. While their version of the theory theory has been criticized for depending on a number of disputed claims, we argue that there is a fundamental problem which is much more basic: the theory theory is multiply ambiguous. We show that it might be claiming that a similarity holds between theory change in children and (i) individual scientists, (...) (ii) a rational reconstruction of a Superscientist, or (iii) the scientific community. We argue that (i) is false, (ii) is non-empirical (which is problematic since the theory theory is supposed to be a bold empirical hypothesis), and (iii) is either false or doesn’t make enough sense to have a truth-value. We conclude that the theory theory is an interesting failure. Its failure points the way to a full, empirical picture of scientific development, one that marries a concern with the social dynamics of science to a psychological theory of scientific cognition. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:130 Feminist Studies 46, no. 1. © 2020 by Feminist Studies, Inc. Laura Bisaillon, Alana Cattapan, Annelieke Driessen, Esther van Duin, Shannon Spruit, Lorena Anton, and Nancy S. Jecker Doing Academia Differently: “I Needed Self-Help Less Than I Needed a Fair Society” A great deal of harm is being done by belief in the virtuousness of work. — Bertrand Russell, “In Praise of Idleness” We are committed to doing (...) academia in particular ways, and not in others. — Brocher Foundation Feminist Collective I had decided that becoming a university professor might be a good fit; friends and colleagues had suggested that I would be valuable to a university, so I prepared for a restructuring of my family life.1 I read Tokarczyk and Fay’s Working-Class Women in the Academy and Babcock and Laschever’s Women Don’t Ask to gather understandings of the milieu I was entering. I now see that my preparations had not shined sufficient light on the social and structural factors that organize the contemporary university.... As it turns out, the restructuring of our lives within the working conditions, priorities, and rationalities of this professional milieu triggered unanticipated and painful effects.... Had Mountz published her article “Women on the Edge” before I decided on a career migration into the university system and, had I been fortunate enough to discover it, I would have made other career choices.2 1. The authors, who describe themselves as the Brocher Foundation Feminist Collective, indicate their personal narratives in this text using italics. 2. Michelle M. Tokarczyk and Elizabeth A. Fay, eds., Working-Class Women in the Academy: Laborers in the Knowledge Factory (Amherst: University of Massachusetts Press, 1993); Linda Babcock and Sara Laschever, Women Don’t Ask: Negotiation and the Gender Divide (Princeton, NJ: Princeton University Bisaillon et al. 131 Introduction: Personal, Professional, and Political We are seven women who met at the Brocher Foundation in Hermance, Switzerland, in July 2017, where we had been selected to spend a few months as research fellows. This competitively awarded opportunity is open to persons fluent in English, from graduate students to senior scholars, with or without academic appointment, whose scholarship advances knowledge about the ethical, legal, and social implications of health and biotechnologies.3 When we found ourselves on the shores of Lake Leman with the gift of time, we began opening up to each other in unexpected, compelling ways. Whatever our vantage point in the hierarchy of the university system, we discovered that there was remarkable overlap in our experiences as women in academia. When we began writing, our authoring team was composed of two graduate students, four faculty members at the assistant professor rank, and one full professor, residing in Canada, the Netherlands, Romania, the United Kingdom, and the United States. Our plural subject position led us to underexplored and imaginative responses to broader social issues, which we share in this article as the “Brocher Foundation Feminist Collective.” We analyze our experiences from our standpoint as women health researchers laboring in the academy. Our similarities and differences were exciting entry points for discussion and analysis: we are all of eastern or western European descent. We have different countries of birth, mother tongues, ages, disciplinary training and career trajectories, relationships to chronic illness and disability, marital status, and experiences with parenthood. We bring the troubles and contradictions we experience as academics into conversation with each other. We seek to productively illustrate and emphasize that the tensions we see around us, and also feel within us, arise as a result of how the academic system is organized, produced, and sustained across time, place, and space. Press, 2003); Alison Mountz, “Women on the Edge: Workplace Stress at Universities in North America,” The Canadian Geographer 60, no. 2 (2016): 205–18. 3. We experienced this fellowship as a valuable opportunity. But we also recognized that our access to it was mediated by social, economic, or other obligations. As countries in the global north continue to tighten their national border regimes, marginalized academics, especially those from the global South, were less likely to succeed in getting a Swiss visa or securing relevant temporal and economic resources. 132 Bisaillon et al. The promise here, we posit... (shrink)

In this paper an Artificial Neural Network (ANN) model, for predicting the category of a tumor was developed and tested. Taking patients’ tests, a number of information gained that influence the classification of the tumor. Such information as age, sex, histologic-type, degree-of-diffe, status of bone, bone-marrow, lung, pleura, peritoneum, liver, brain, skin, neck, supraclavicular, axillar, mediastinum, and abdominal. They were used as input variables for the ANN model. A model based on the Multilayer Perceptron Topology was established and trained using (...) data set which its title is “primary tumor” and was obtained from the University Medical Centre, Institute of Oncology, Ljubljana, Yugoslavia Test data evaluation shows that the ANN model is able to correctly predict the tumor category with 76.67 % accuracy. (shrink)

Matthew Adler's Measuring Social Welfare is an introduction to the social welfare function (SWF) methodology. This essay questions some ideas at the core of the SWF methodology having to do with the relation between the SWF and the measure of well-being. The facts about individual well-being do not single out a particular scale on which well-being must be measured. As with physical quantities, there are multiple scales that can be used to represent the same information about well-being; no one scale (...) is special. Like physical laws, the SWF and its ranking of distributions cannot depend on exactly which of these scales we use. Adler and other theorists in the SWF tradition have used this idea to derive highly restrictive constraints on the shape of the SWF. These constraints rule out seemingly plausible views about distributive justice and population ethics. I argue, however, that these constraints stem from a simple but instructive mistake. The SWF should not be applied to vectors of numbers such as 1 and 2, but rather to vectors of dimensioned quantities such as 1 util and 2 utils. This seemingly pedantic suggestion turns out to have far-reaching consequences. Unlike the orthodox SWF approach, treating welfare levels as dimensioned quantities lets us distinguish between real changes in well-being and mere changes in the unit of measurement. It does this without making the SWF depend on the scale on which welfare is measured, and in a way that avoids the restrictive constraints on the shape of the SWF. (shrink)

Is well-being the kind of thing that can be summed across individuals? This paper takes a measurement-theoretic approach to answering this question. To make sense of adding well-being, we would need to identify some natural "concatenation" operation on the bearers of well-being that satisfies the axioms of extensive measurement and can therefore be represented by the arithmetic operation of addition. I explore various proposals along these lines, involving the concatenation of segments within lives over time, of entire lives led alongside (...) one another or in sequence, and of evaluatively basic propositions via conjunction. All of these proposals turn out to carry highly controversial commitments about the good. I do not claim that these commitments are unacceptable. But they suggest that we cannot simply take for granted, as many philosophers do, that there is any such thing as the sum of well-being. (shrink)

The study aims to identify the efficiency of the university education performance from the perspective of postgraduate and undergraduate students in international and Palestinian universities. The analytical descriptive approach was used for this purpose and the questionnaire was used as a main tool for data collection. The study community consists of: post graduate students, (23850) graduate students and (146355) undergraduate students. The sample of the study was 378 graduate students and 383 undergraduate students. The random stratified sample was used. The (...) Statistical Package of Social Sciences (SPSS) was also used for data analysis. The study reached a number of results, the most important of which are: The level of efficiency of educational performance in Palestinian and international universities from the point of view of postgraduate and undergraduate students was high. And that there are significant differences between the average views of the sample of the study on the efficiency of educational performance in Palestinian and international universities attributed to the University and to the benefit of international universities. The study concluded many recommendations, the most important of which is the necessity of continuing to develop e-learning strategies that affect the efficiency of educational performance and research commensurate with the university's position in the local and international community, which puts it on the best classification between local and international universities through e-learning. (shrink)

Foundational ontologies, central constructs in ontological investigations and engineering alike, are based on ontological categories. Firstly proposed by Aristotle as the very ur- elements from which the whole of reality can be derived, they are not easy to identify, let alone partition and/or hierarchize; in particular, the question of their number poses serious challenges. The late medieval philosopher Dietrich of Freiberg wrote around 1286 a tutorial that can help us today with this exceedingly difficult task. In this paper, I discuss (...) ontological categories and their importance for foundational ontologies from both the contemporary perspective and the original Aristotelian viewpoint, I provide the translation from the Latin into English of Dietrich's De origine II with an introductory elaboration, and I extract a foundational ontology–that is in fact a single-category one–from this text rooted in Dietrich's specification of types of subjecthood and his conception of intentionality as causal operation. (shrink)

The developing body of empirical work on the "Gettier effect" indicates that, in general, the presence of a Gettier-type structure in a case makes participants less likely to attribute knowledge in that case. But is that a sufficient reason to diverge from a JTB theory of knowledge? I argue that considerations of good model selection, and worries about noise and overfitting, should lead us to consider that a live, open question. The Gettier effect is perhaps so transient, and so sensitive (...) to other, epistemologically-inappropriate factors, that it raises the question of whether it ought to be counted as something to include in our theories -- or as a piece of noise to be excluded from them. (shrink)

This paper proposes a new framework for thinking about hope, with certain unexpected consequences. Specifically, I argue that a shift in focus from locutions like “x hopes that” and “x is hoping that” to “x is hopeful that” and “x has hope that” can improve our understanding of hope. This approach, which emphasizes hopefulness as the central concept, turns out to be more revealing and fruitful in tackling some of the issues that philosophers have raised about hope, such as the (...) question of how hope can be distinguished from despair or how people can have differing strengths in hope. It also allows us to see that many current accounts of hope, far from being rivals, are actually compatible with one another. (shrink)

Abstract: The integration of Artificial Intelligence (AI) into Human Resource Management (HRM) is fundamentally transforming how organizations approach recruitment, performance management, and employee engagement. This paper explores the multifaceted impact of AI on HR practices, highlighting its role in enhancing efficiency, reducing bias, and driving strategic decision-making. Through an in-depth analysis of AI-driven recruitment tools, performance management systems, and personalized employee engagement strategies, this study examines both the opportunities and challenges associated with AI in HRM. Ethical considerations, including data privacy, (...) algorithmic bias, and the potential displacement of human jobs, are critically discussed to provide a balanced perspective on the adoption of AI technologies in the HR domain. By presenting case studies of organizations successfully leveraging AI, this paper offers insights into the future trajectory of HRM in an increasingly AI-driven world. Ultimately, the findings underscore the need for HR professionals to adapt and innovate in response to the growing influence of AI, ensuring a harmonious balance between technological advancement and the human element in the workplace. (shrink)

Ectogestation involves the gestation of a fetus in an ex utero environment. The possibility of this technology raises a significant question for the abortion debate: Does a woman’s right to end her pregnancy entail that she has a right to the death of the fetus when ectogestation is possible? Some have argued that it does not Mathison & Davis. Others claim that, while a woman alone does not possess an individual right to the death of the fetus, the genetic parents (...) have a collective right to its death Räsänen. In this paper, I argue that the possibility of ectogestation will radically transform the problem of abortion. The argument that I defend purports to show that, even if it is not a person, there is no right to the death of a fetus that could be safely removed from a human womb and gestated in an artificial womb, because there are competent people who are willing to care for and raise the fetus as it grows into a person. Thus, given the possibility of ectogestation, the moral status of the fetus plays no substantial role in determining whether there is a right to its death. (shrink)

Empirical philosophers of science aim to base their philosophical theories on observations of scientific practice. But since there is far too much science to observe it all, how can we form and test hypotheses about science that are sufficiently rigorous and broad in scope, while avoiding the pitfalls of bias and subjectivity in our methods? Part of the answer, we claim, lies in the computational tools of the digital humanities, which allow us to analyze large volumes of scientific literature. Here (...) we advocate for the use of these methods by addressing a number of large-scale, justificatory concerns—specifically, about the epistemic value of journal articles as evidence for what happens elsewhere in science, and about the ability of DH tools to extract this evidence. Far from ignoring the gap between scientific literature and the rest of scientific practice, effective use of DH tools requires critical reflection about these relationships. (shrink)

Binding specificity is a centrally important concept in molecular biology, yet it has received little philosophical attention. Here I aim to remedy this by analyzing binding specificity as a causal property. I focus on the concept’s role in drug design, where it is highly prized and hence directly studied. From a causal perspective, understanding why binding specificity is a valuable property of drugs contributes to an understanding of causal selection—of how and why scientists distinguish between causes, not just causes from (...) noncauses. In particular, the specificity of drugs is precisely what underwrites their value as experimental interventions on biological processes. (shrink)

In this article, I present a two-pronged argument for the immorality of contemporary, asymmetric drone warfare, based on my new interpretations of the just war principles of “proportionality” and “moral equivalence of combatants” (MEC). The justification for these new interpretations is that drone warfare continues to this day, having survived despite arguments against it that are based on traditional interpretations of just war theory (including one from Michael Walzer). On the basis of my argument, I echo Harry Van der Linden’s (...) call for “an international treaty banning all weaponized UAV [uninhabited aerial vehicles].”. (shrink)

Abstract: Artificial Intelligence (AI) is revolutionizing the agricultural sector by enhancing productivity and sustainability. This paper explores the transformative impact of AI technologies on agriculture, focusing on their applications in precision farming, predictive analytics, and automation. AI-driven tools enable more efficient management of crops and resources, leading to improved yields and reduced environmental impact. The paper examines key AI technologies, including machine learning algorithms for crop monitoring, robotics for automated planting and harvesting, and data analytics for optimizing resource use. Additionally, (...) it addresses challenges such as data privacy, technology adoption barriers, and the ethical implications of AI in farming. By integrating AI into agricultural practices, the industry can achieve greater efficiency and sustainability, paving the way for future advancements. (shrink)

We study the question of how to decompose Hilbert space into a preferred tensor-product factorization without any pre-existing structure other than a Hamiltonian operator, in particular the case of a bipartite decomposition into "system" and "environment." Such a decomposition can be defined by looking for subsystems that exhibit quasi-classical behavior. The correct decomposition is one in which pointer states of the system are relatively robust against environmental monitoring (their entanglement with the environment does not continually and dramatically increase) and remain (...) localized around approximately-classical trajectories. We present an in-principle algorithm for finding such a decomposition by minimizing a combination of entanglement growth and internal spreading of the system. Both of these properties are related to locality in different ways. This formalism could be relevant to the emergence of spacetime from quantum entanglement. (shrink)

I argue for three conclusions. First, responsibility skeptics are committed to the position that the criminal justice system should adopt a universal nonresponsibility excuse. Second, a universal nonresponsibility excuse would diminish some of our most deeply held values, further dehumanize criminals, exacerbate mass incarceration, and cause an even greater number of innocent people (nonwrongdoers) to be punished. Third, while Saul Smilansky's ‘illusionist’ response to responsibility skeptics – that even if responsibility skepticism is correct, society should maintain a responsibility‐realist/retributivist criminal justice (...) system – is generally compelling, it would not work if a majority of society were to convert, theoretically and psychologically, to responsibility skepticism. In this (highly improbable) scenario, and only in this (highly improbable) scenario, the criminal justice system would need to be reformed in such a way that it aligned with the majority's responsibility‐skeptical beliefs and attitudes. (shrink)

Current debates surrounding the virtues and shortcomings of randomization are symptomatic of a lack of appreciation of the fact that causation can be inferred by two distinct inference methods, each requiring its own, specific experimental design. There is a non-statistical type of inference associated with controlled experiments in basic biomedical research; and a statistical variety associated with randomized controlled trials in clinical research. I argue that the main difference between the two hinges on the satisfaction of the comparability requirement, which (...) is in turn dictated by the nature of the objects of study, namely homogeneous or heterogeneous populations of biological systems. Among other things, this entails that the objection according to which randomized experiments fail to provide better evidence for causation because randomization cannot guarantee comparability is mistaken. (shrink)

In the United States, police use of force experts often maintain that controversial police shootings where an unarmed person’s hand gesture was interpreted as their “going for a gun” are justifiable. If an officer waits to confirm that a weapon is indeed being pulled from a jacket pocket or waistband, it may be too late to defend against a lethal attack. This article examines police policy norms for self-defense against “uncertain threats” in three contexts: (1) known in-progress violent crimes, (2) (...) interactions with civilians behaving non-aggressively, and (3) interactions with civilians behaving aggressively. It is argued that the context of a known in-progress violent crime gives rise to threat probability-, fairness-, and lesser evil-based reasons for a norm permitting police officers to use lethal force. However, in the contexts of civilians behaving non-aggressively and civilians behaving aggressively, such a norm is not justifiable. In the former case, I introduce two conditions, the Justification condition and the Valuing Civilian Lives condition, which I argue are not presently met. In the latter case, these two conditions again are not met; aggression may moreover be excused or justified due to background injustices around race and the criminal justice system. (shrink)

Abstract: The integration of Artificial Intelligence (AI) into medical imaging represents a transformative shift in healthcare, offering significant improvements in diagnostic accuracy, efficiency, and patient outcomes. This paper explores the application of AI technologies in the analysis of medical images, focusing on techniques such as convolutional neural networks (CNNs) and deep learning models. We discuss how these technologies are applied to various imaging modalities, including X-rays, MRIs, and CT scans, to enhance disease detection, image segmentation, and diagnostic support. Additionally, the (...) paper addresses the challenges faced in AI-driven medical imaging, including data quality, model interpretability, and ethical considerations. By examining recent advancements and real-world case studies, this paper provides insights into the current state of AI in medical imaging and its potential future directions. The findings highlight the ongoing evolution of AI technologies and their crucial role in advancing medical diagnostics and treatment strategies. (shrink)

A standard view in philosophy is that knowledge entails justification. Yet recent research suggests otherwise. We argue that this admirable and striking research suffers from an important limitation: participants were asked about knowledge but not justification. Thus it is possible that people attributed knowledge partly because they thought the belief was justified. Perhaps though, if given the opportunity, people would deny justification while still attributing knowledge. It is also possible that earlier findings were due to perspective taking. This paper reports (...) further research that directly addresses these questions. Our findings support the hypothesis that knowledge entails justification on the ordinary view. (shrink)

Since it is only five years since the publication of our paper, "Geographical categories: An ontological investigation" (Smith and Mark 2001), it seems somewhat strange to be making retrospective comments on the piece. Nevertheless, the field is moving quickly, and much has happened since the article appeared. A large number of papers have already cited the work, which suggests that there is a seam here that people find worthy of being mined. In this short essay, we first review the paper (...) and attempt to assess its significance from the perspective of our current work. We then put the paper in the context of our individual and joint works, which led up to it, and summarize our research trajectories since the paper appeared, pointing out what some of this reveals about spatial ontology in general. We conclude with some remarks on the future of ontological research in geographical information science. (shrink)

Court cases involving sexual assault and police violence rely heavily on victim testimony. We consider what we call the “Traumatic Untrustworthiness Argument (TUA)” according to which we should be skeptical about victim testimony because people are particularly liable to misremember traumatic events. The TUA is not obviously based in mere distrust of women, people of color, disabled people, poor people, etc. Rather, it seeks to justify skepticism on epistemic and empirical grounds. We consider how the TUA might appeal to the (...) psychology and neuroscience of memory for empirical support. However, we argue that neither support the TUA. (shrink)

MMA fighting in a competition is not necessarily wrong and is often, as far as we can tell, permissible. Our argument has two premises. First, if an act does not infringe on anyone’s moral right or violate another side-constraint, then it is morally permissible. Second, MMA-violence does not infringe on anyone’s moral right or violate another side-constraint. The first premise rested on two assumptions. First, if a person does a wrong act, then he wrongs someone. Second, if one person wrongs (...) a second, then the first infringes on the second’s right. We then looked at Nicholas Dixon’s powerful Kantian argument that MMA fighting is wrong. (shrink)

Not focusing on the history of classical logic, this book provides discussions and quotes central passages on its origins and development, namely from a philosophical perspective. Not being a book in mathematical logic, it takes formal logic from an essentially mathematical perspective. Biased towards a computational approach, with SAT and VAL as its backbone, this is an introduction to logic that covers essential aspects of the three branches of logic, to wit, philosophical, mathematical, and computational.

An increasing vaccine hesitancy among parents, which has resulted in insufficient rates of immunization, provides reason to reconsider childhood vaccination practices. Studies suggest that parents' decision-making process concerning whether to vaccinate their child is highly influenced by cognitive biases. These biases can be utilized to increase vaccination uptake via changes in the choice context. This article considers childhood vaccination programmes, which involve children being vaccinated in school or daycare unless their parents actively ‘opt out’. We suggest that such programmes reconcile (...) parents' decisional authority and vaccination duties. First, opt-out childhood vaccination based in schools or daycare centres are not disrespectful of parental authority. Second, the programme aligns the default setting with a moral obligation to vaccinate one's child that most parents have. (shrink)

Enclosed is a guidebook for philanthropists, advocates, and policymakers who want to do the most good possible. This book introduces the philosophy of “longtermism,” the idea that it is particularly important that we act now to safeguard future generations. -/- The future is vast in scale: depending on our choices in the coming centuries, the future could stretch for eons or it could dwindle into oblivion, and be inordinately good or inordinately bad. And yet future generations are utterly disenfranchised in (...) the world today: they cannot participate in our markets, our movements, or our civil society. This presents 21st Century philanthropists with a historically unprecedented opportunity to do good by protecting the long-term future. -/- The essays within are from the pioneers who have developed the intellectual foundations of longtermism, as well as the experts and advocates who are now putting it into practice. Readers will hear the case for longtermism from professors at the University of Oxford and Longview’s own founders; longtermist policy proposals from political philosophers, members of the House of Lords, and the All-party Parliamentary Group for Future Generations; the case for work on biosecurity, artificial intelligence, and climate change from leading experts; and the first ever essay on longtermist cultural change from the former Chief of Cabinet to the Finnish President. -/- Together, these essays chart the path forward toward maximising the good that we do for our grandchildren, our grandchildren’s grandchildren, and every generation beyond. (shrink)

This project was provoked by the almost nonexistent pushback from the Democratic liberal establishment to the (2020) exoneration of Kyle Rittenhouse, despite his acknowledged killing of two Black Lives Matters protesters against the police murder of George Floyd. It builds on three prior articles arguing for the revival of ancient Dionysian practice, Haitian Vodou, and Indigenous South American shamanism to empower leftist revolution. In essence, I propose an assemblage of spiritual practices that are accessible today for the neo-colonized 99% of (...) the global population, by synthesizing and reconstructing three democratic, lower-SES, Indigenous religions, all of which share a militant defiance of their respective tyrannical plutocracies. To avoid cultural appropriation, I center these reconstructed spiritual practices on the figure of the “mage,” a psychosocial healer loosely analogous to a shaman. And the mage’s signature activity, “magic,” I redefine naturalistically as free interpersonal performative action, practiced using two theoretical disciplines (philosophy and psychology) and two practical disciplines chosen by each mage. More precisely, Spirit/Dance channels the “spirits” of dead ancestors, historical figures, legendary heroes, mythical beings, and fictional characters, into the three ultimate objectives of “mindfulness” for psyches/souls, “liberation” for mindful bodies, and “social justice” for liberated communities, indirectly empowering long-term revolution. (shrink)

Abstract: Artificial Intelligence (AI) is transforming organizational dynamics by reshaping both structures and processes. This paper examines how AI-driven innovations are redefining organizational frameworks, ranging from shifts in hierarchical models to the adoption of decentralized decision-making. It explores AI's impact on key processes, including workflow automation, data analysis, and decision support systems. Through case studies and empirical research, the paper illustrates the advantages of AI in enhancing efficiency, driving innovation, and fostering agility within organizations. Additionally, it addresses the challenges posed (...) by AI integration, such as resistance to change, ethical concerns, and data security issues. The paper concludes with insights into future trends and implications for organizations navigating the evolving landscape of AI-driven change. (shrink)

Higher education institutions are mining and analyzing student data to effect educational, political, and managerial outcomes. Done under the banner of “learning analytics,” this work can—and often does—surface sensitive data and information about, inter alia, a student’s demographics, academic performance, offline and online movements, physical fitness, mental wellbeing, and social network. With these data, institutions and third parties are able to describe student life, predict future behaviors, and intervene to address academic or other barriers to student success (however defined). Learning (...) analytics, consequently, raise serious issues concerning student privacy, autonomy, and the appropriate flow of student data. We argue that issues around privacy lead to valid questions about the degree to which students should trust their institution to use learning analytics data and other artifacts (algorithms, predictive scores) with their interests in mind. We argue that higher education institutions are paradigms of information fiduciaries. As such, colleges and universities have a special responsibility to their students. In this article, we use the information fiduciary concept to analyze cases when learning analytics violate an institution’s responsibility to its students. (shrink)

This article derives from a project attempting to show that Western formal logic, from Aristotle onward, has both been partially constituted by, and partially constitutive of, what has become known as racism. In the present article, I will first discuss, in light of Frege’s honorary role as founder of the philosophy of mathematics, Reuben Hersh’s What is Mathematics, Really? Second, I will explore how the infamous section of Frege’s 1924 diary (specifically the entries from March 10 to April 9) supports (...) Hersh's claim regarding the link between political conservatism and the (historically and currently) dominant school of the philosophy of mathematics (to which Frege undeniably belongs). Third, I will examine Frege’s attempt at a more reader-friendly introduction to his philosophy of mathematics, The Foundations of Arithmetic. And finally, I will briefly analyze Frege’s Begriffsschrift to see how questions of race arise even at the heights of his logical abstraction. (shrink)

In this wide-ranging interview with three members of the Department of Philosophy at the University of Sao Paolo (Brazil) Wylie explains how she came to work on philosophical issues raised in and by archaeology, describes the contextualist challenges to ‘received view’ models of confirmation and explanation in archaeology that inform her work on the status of evidence and contextual ideals of objectivity, and discusses the role of non-cognitive values in science. She also is pressed to explain what’s feminist about feminist (...) research and in that connection outlines her account of feminist standpoint theory and the relevance of feminist analysis to science. (shrink)

Abstract: The integration of Artificial Intelligence (AI) into medical imaging marks a transformative advancement in healthcare, significantly enhancing diagnostic accuracy, efficiency, and patient outcomes. This paper delves into the application of AI technologies in medical image analysis, with a particular focus on techniques such as convolutional neural networks (CNNs) and deep learning models. We examine how these technologies are employed across various imaging modalities, including X-rays, MRIs, and CT scans, to improve disease detection, image segmentation, and diagnostic support. Furthermore, the (...) paper discusses the challenges associated with AI-driven medical imaging, such as data quality, model interpretability, and ethical considerations. By analyzing recent advancements and real-world case studies, this paper offers insights into the current landscape of AI in medical imaging and explores its potential future directions. The findings underscore the ongoing evolution of AI technologies and their pivotal role in advancing medical diagnostics and treatment strategies. (shrink)

In July 2020, more than 1000 companies that advertise on social media platforms withdrew their business, citing failures of the platforms (especially Facebook) to address the proliferation of harmful content. The #StopHateForProfit movement invites reflection on an understudied topic: the ethics of boycotting by corporations. Under what conditions is corporate boycotting permissible, required, supererogatory, or forbidden? Although value-driven consumerism has generated significant recent discussion in applied ethics, that discussion has focused almost exclusively on the consumption choices of individuals. As this (...) article underscores, value-driven consumerism by business corporations complicates these issues and invites further examination. We propose principles for the ethics of boycotting by corporations, indicate how these principles relate to different CSR paradigms, and show how these insights can help assess recent instances of corporate boycotting. (shrink)

Alison Bailey’s The Weight of Whiteness: A Feminist Engagement with Privilege, Race, and Ignorance examines how whiteness misshapes our humanity, measuring the weight of whiteness in terms of its costs and losses to collective humanity. People of color feel the weight of whiteness daily. The resistant habits of whiteness and its attendant privileges, however, make it difficult for white people to feel the damage. White people are more comfortable thinking about white supremacy in terms of what privilege does for (...) them, rather than feeling what it does to them. The first half of the book focuses on the overexposed side of white privilege, the side that works to make the invisible and intangible structures of power more visible and tangible. Bailey discusses the importance of understanding privileges intersectionally, the ignorance-preserving habits of “white talk,” and how privilege and ignorance circulate in educational settings. The second part invites white readers to explore the underexposed side of white dominance, the weightless side that they would rather not feel. The final chapters are powerfully autobiographical. Bailey engages readers with a deeply personal account of what it means to hold space with the painful weight of whiteness in her own life. She also offers a moving account of medicinal genealogies, which helps to engage the weight she inherits from her settler colonial ancestors. The book illustrates how the gravitational pull of white ignorance and comfort are stronger than the clean pain required for collective liberation. The stakes are high: Failure to hold the weight of whiteness ensures that white people will continue to blow the weight of historical trauma through communities of color. -/- All rights reserved. No portion of this publication may be reproduced, stored in a retrieval system, or transmitted in any form by any means, electronic, mechanical, photocopying, recording or otherwise without the prior written permission of the publisher. -/- -/- . (shrink)

In this long-awaited compendium of new and newly revised essays, Alison Wylie explores how archaeologists know what they know. -/- Preprints available for download. Please see entry for specific article of interest.

It is no accident that white privilege designed to be both be invisible and weightless to white people. Alison Bailey’s “On White Privilege and Anesthesia: Why Does Peggy McIntosh’s Knapsack Feel Weightless?” extends a weighty invitation white readers to complete the unpacking task McIntosh (1988) began when she compared white privilege to an “invisible and weightless knapsack.” McIntosh focuses primarily making white privilege visible to white people. Bailey’s project continues the conversation by extending a ‘weighty invitation’ to white readers (...) to explore why the metaphorical knapsack, despite the weight of its contents, feels weightless. Here’s the short answer. The knapsack only feels weightless because white people have become anesthetized us to our own brokenness. We are more comfortable considering what white privilege does for us than what it does to us. People of color feel the weight of whiteness every day. The weighty invitation invites white readers to become sensitive to our own insensitivity. To do this Bailey (1) explores white resistance to unpacking the weight; (2) people of color’s testimonies to the daily impact of the weight on their bodies; and (3) how the anesthesia of white privilege distorts our humanity. The article concludes with a McIntosh style list of that the anesthesia of privilege distorts white people’s humanity. (shrink)

Uric acid has increasingly been associated with insulin resistance, hyperinsulinemia, and type 2 diabetes mellitus. Diabetic patients who are hyperuricemic have a risk of developing diabetic complications. Pathogenesis of uric acid may decrease nitric oxide bioavailability in vascular smooth muscle, endothelial cells and direct scavenging of nitric oxide by uric acid. A decrease in endothelial nitric oxide production by uric acid has also been associated with endothelial dysfunction and insulin resistance. This study aims to determine the relationship between uric acid (...) and glucose levels in patients with type 2 diabetes mellitus. The study included 161 Libyan patients (67 males and 94 females) diagnosed with type 2 diabetes mellitus. Both levels of serum uric acid and hemoglobin A1c (HbA1c) were determined. The patients were divided into two groups. The controllable diabetic group with HbA1c of less than 06.0% and the uncontrollable diabetic group with HbA1c of more than 06.0%. Patients who are suffering from type 2 diabetes mellitus without complications were included whereas patients with smoking, alcoholism, nephrotic disease, malignancy, hepatitis, and renal failure or kidney disease were excluded. The mean and standard deviation of uric acid, HbA1c and Pearson correlation coefficient test were considered. In the controllable diabetic group, serum uric acid mean was found to be 4.807±1.39 and HbA1c was found to be 5.032±1.39. In the uncontrollable diabetic group, serum uric acid was 4.897±1.66 and HbA1c was 8.396±1.65. Uric acid level has significantly been correlated with HBA1C in controlled and uncontrolled diabetic patients (p<0.05). In addition, the uric acid level was found to be higher in the uncontrolled diabetic group than that in the controlled group (p<0.05). A possible relationship between serum uric acid and the incidence of type 2 diabetes mellitus was noted. Thus, uric acid can be used as a potential biomarker to indicate impaired glucose metabolism. (shrink)

Artificial Intelligence (AI) is rapidly transforming Human Resource Management (HRM) by enhancing the efficiency and effectiveness of key functions such as recruitment, performance management, and employee engagement. This paper explores the integration of AI technologies in HRM, focusing on their potential to revolutionize these critical areas. In recruitment, AI-driven tools streamline candidate sourcing, screening, and selection processes, leading to more accurate and unbiased hiring decisions. Performance management is similarly transformed, with AI enabling continuous, data-driven feedback and personalized development plans that (...) align with organizational goals. Furthermore, AI facilitates more engaging and tailored employee experiences by leveraging predictive analytics to anticipate and address employee needs. Despite these advancements, the paper also addresses the ethical considerations and challenges associated with AI in HRM, including data privacy concerns and the risk of over-reliance on automated systems. Through a comprehensive analysis, this paper aims to provide insights into how AI can be strategically leveraged to optimize HRM practices, while highlighting the need for a balanced approach that integrates human judgment with technological innovation. (shrink)

Abstract: The integration of Artificial Intelligence (AI) into leadership practices is transforming organizational dynamics and This decision-making processes. paper explores how AI can enhance leadership effectiveness by providing data-driven insights, optimizing decision-making, and automating routine tasks. It also examines the challenges leaders face in adopting AI, including ethical considerations, potential biases in AI systems, and the need for upskilling. By analyzing current applications of AI in leadership and discussing future trends, this study aims to provide a comprehensive overview of the (...) opportunities AI presents for effective leadership and the strategies required to address its associated challenges. (shrink)

Abstract: Artificial Intelligence (AI) is revolutionizing organizational dynamics by reshaping both structures and processes. This paper explores how AI-driven innovations are transforming organizational frameworks, from hierarchical adjustments to decentralized decision-making models. It examines the impact of AI on various processes, including workflow automation, data analysis, and enhanced decision support systems. Through case studies and empirical research, the paper highlights the benefits of AI in improving efficiency, driving innovation, and fostering agility within organizations. Additionally, it addresses the challenges associated with AI (...) integration, such as resistance to change, ethical concerns, and data security issues. The paper concludes by offering insights into future trends and implications for organizations navigating the evolving landscape of AI-driven change. (shrink)

This chapter explores the role that non-textual narrations of biblical stories can play in Christian life and practice. Our case study is the Shrine of Divine Mercy in Kabuga, Rwanda. The stations at the shrine tell the story of Jesus’s life and passion, incorporating images from the Catholic devotional tradition of Divine Mercy and elements evoking the Rwandan genocide. While many philosophical accounts of narratives presuppose that narratives are textual, material and visual art like the Kabuga shrine can also be (...) narrative, in that, like text, material and visual art can selectively represent multiple events and connections between them. We argue that material-visual narratives like the shrine can be effective in achieving commonly identified functions of narratives, such as focusing attention, immersing in a story, engaging the emotions, and fostering a common perspective on the world. We further argue that material-visual art is well-suited to narrating the Gospel in particular, for it can present the Gospel story alongside other stories (in this case, the story of the Rwandan genocide) and in so doing reframe these other stories in light of the Gospel. (shrink)

This work introduces the framework for selecting architecture in 5G networks, considering various technological, performance, economic, and operational factors. With the emergence of 5G technology, the architecture selection process has become pivotal in meeting diverse requirements for ultra-high-speed connectivity, low latency, scalability, and diverse service demands. The evaluation comprehensively analyses different architecture options, including centralized, distributed, cloud-based, and virtualized architectures. Factors such as network performance, scalability, cost-effectiveness, security, and compatibility are considered within a multi-criteria decision-making framework. Findings reveal each architecture (...) option's diverse strengths and limitations, emphasizing the importance of aligning architectural choices with specific use cases, deployment scenarios, and business objectives. We used the concept of multi-criteria decision-making (MCDM) methodology to control the various criteria. We used the single-valued neutrosophic set (SVNS) to deal with vague and inconsistent data. The SVNS is integrated with the hyperSoft set. The proposed methodology uses a single-valued neutrosophic hyperSoft set (SVNHSS) to select the best 5G architecture. We used the VIKOR method as an MCDM method to rank the alternatives. The proposed framework provides stakeholders with a structured methodology to evaluate and prioritize architecture options, facilitating informed decision-making in the complex landscape of 5G network deployments. (shrink)

This article surveys the state of the literature on Hume’s epistemology, focusing on treatments of what has come to be known as the ‘Kemp Smith problem’, that is, the problem of reconciling Hume’s scepticism with his naturalism. It first surveys the literature on this issue with regard to the Treatise, moving on to briefly compare the Treatise and the Enquiry in virtue of their epistemological frameworks, before finally examining the literature with regard to the first Enquiry.

Abstract: If anger is the emotion of injustice, and if most injustices have prominent epistemic dimensions, then where is the anger in epistemic injustice? Despite the question my task is not to account for the lack of attention to anger in epistemic injustice discussions. Instead, I argue that a particular texture of transformative anger – a knowing resistant anger – offers marginalized knowers a powerful resource for countering epistemic injustice. I begin by making visible the anger that saturates the silences (...) that epistemic injustices repeatedly manufacture and explain the obvious: silencing practices produce angry experiences. I focus on tone policing and tone vigilance to illustrate the relationship between silencing and angry knowledge management. Next, I use María Lugones’s pluralist account of anger to bring out the epistemic dimensions of knowing resistant anger in a way that also calls attention to their histories and felt textures. The final section draws on feminist scholarship about the transformative power of angry knowledge to suggest how it might serve as a resource for resisting epistemic injustice. (shrink)