Critical race theorists and standpoint epistemologists argue that agents who are members of dominant social groups are often in a state of ignorance about the extent of their social dominance, where this ignorance is explained by these agents' membership in a socially dominant group (e.g., Mills 2007). To illustrate this claim bluntly, it is argued: 1) that many white men do not know the extent of their social dominance, 2) that they remain ignorant as to the extent of their dominant (...) social position even where this information is freely attainable, and 3) that this ignorance is due in part to the fact that they are white men. We argue that on Buchak's (2010, 2013) model of risk averse instrumental rationality, ignorance of one's privileges can be rational. This argument yields a new account of elite-group ignorance, why it may occur, and how it might be alleviated. (shrink)

Volume 24, Issue 8, August 2024, Page 4-8.

In early China, was it correct for a woman to disobey her father, contradict her husband, or shape the public policy of a son who ruled over a dynasty or state? According to the _Lienü zhuan_, or_ Categorized Biographies of Women_, it was not only appropriate but necessary for women to step in with wise counsel when fathers, husbands, or rulers strayed from the path of virtue. Compiled toward the end of the Former Han dynasty (202 BCE-9 CE) by Liu (...) Xiang (79-8 BCE), the _Lienü zhuan_ is the earliest extant book in the Chinese tradition solely devoted to the education of women. Far from providing a unified vision of women's roles, the text promotes a diverse and sometimes contradictory range of practices. At one extreme are exemplars resorting to suicide and self-mutilation as a means to preserve chastity and ritual orthodoxy. At the other are bold and outspoken women whose rhetorical mastery helps correct erring rulers, sons, and husbands. The text provides a fascinating overview of the representation of women's roles in early legends, formal speeches on statecraft, and highly fictionalized historical accounts during this foundational period of Chinese history. Over time, the biographies of women became a regular feature of dynastic and local histories and a vehicle for expressing and transmitting concerns about women's social, political, and domestic roles. The _Lienü zhuan_ is also rich in information about the daily life, rituals, and domestic concerns of early China. Inspired by its accounts, artists across the millennia have depicted its stories on screens, paintings, lacquer ware, murals, and stone relief sculpture, extending its reach to literate and illiterate audiences alike. (shrink)

Discovering high-level causal relations from low-level data is an important and challenging problem that comes up frequently in the natural and social sciences. In a series of papers, Chalupka etal. (2015, 2016a, 2016b, 2017) develop a procedure forcausal feature learning (CFL) in an effortto automate this task. We argue that CFL does not recommend coarsening in cases where pragmatic considerations rule in favor of it, and recommends coarsening in cases where pragmatic considerations rule against it. We propose a new technique, (...) pragmatic causal feature learning (PCFL), which extends the original CFL algorithm in useful and intuitive ways. We show that PCFL has the same attractive measure-theoretic properties as the original CFL algorithm. We compare the performance of both methods through theoretical analysis and experiments. (shrink)

This article considers the extent to which Bayesian networks with imprecise probabilities, which are used in statistics and computer science for predictive purposes, can be used to represent causal structure. It is argued that the adequacy conditions for causal representation in the precise context—the Causal Markov Condition and Minimality—do not readily translate into the imprecise context. Crucial to this argument is the fact that the independence relation between random variables can be understood in several different ways when the joint probability (...) distribution over those variables is imprecise, none of which provides a compelling basis for the causal interpretation of imprecise Bayes nets. I conclude that there are serious limits to the use of imprecise Bayesian networks to represent causal structure. (shrink)

This article considers the popular thesis that a more proportional relationship between a cause and its effect yields a more abstract causal explanation of that effect, which in turn produces a deeper explanation. This thesis is taken to have important implications for choosing the optimal granularity of explanation for a given explanandum. In this article, I argue that this thesis is not generally true of probabilistic causal relationships. In light of this finding, I propose a pragmatic, interest-relative measure of explanatory (...) depth. This measure uses a decision-theoretic model of information pricing to determine the optimal granularity of explanation for a given explanandum, agent, and decision problem. (shrink)

While the Confucian canon has much to say about women, the Analects contains a few passages that make significant observations about them. These passages deserve the close scrutiny not only because they are all the Analects has to offer on the topic of women, but, more importantly, because at least one passage has been singled out as representing a toxic misogyny that clouds any hope for the continued relevance of Confucianism in today's world. In Analects 17.25, Confucius uniformly and somewhat (...) unfairly dismisses women of servile status as grasping and manipulative, but nevertheless ranks them along with the similarly disconcerting “small men”. While Analects 17.25 also reveals Confucius' awareness of a vague obligation to his inferiors that goes beyond a desire for their unquestioning subservience, in the minds of these lowly figures, his efforts to draw close position him as nothing more than a resource to be exploited. (shrink)

Proponents of various causal exclusion arguments claim that for any given event, there is often a unique level of granularity at which that event is caused. Against these causal exclusion arguments, causal ecumenists argue that the same event or phenomenon can be caused at multiple levels of granularity. This paper argues that the Bayesian network approach to representing the causal structure of target systems is consistent with causal ecumenism. Given the ubiquity of Bayesian networks as a tool for representing causal (...) structure in both philosophy of science and science itself, this result speaks in favor of the ecumenical view, and against rival exclusionary accounts. Gebharter’s (Philos Phenomenol Res 95(2):353–375, 2017) argument that the Bayes nets formalism is consistent with causal exclusion is considered and rebutted. (shrink)

Identity Processing Style and Defense Mechanisms To investigate relationships between identity processing styles and patterns of defense mechanisms, 213 participants completed measures of defense-mechanism clusters and styles of negotiating identity conflicts and threats. A self-exploratory, informational identity style was associated with defense mechanisms that control anxiety and threats via internal cognitive maneuvers. In contrast, a diffuse-avoidant identity style was found to be related to maladaptive defensive maneuvers including turning against others and turning aggression inward against oneself, which is related to (...) depressive reactions. A foreclosing, normative identity style was associated with defenses that limit awareness of threatening ideas and information by denial, distortion, and negation. None of these relationships was qualified by age or gender. The findings are discussed in terms of a process model of identity development that emphasizes social-cognitive differences in how individuals construct, maintain, and reconstruct their self-identity. (shrink)

A given causal system can be represented in a variety of ways. How do agents determine which variables to include in their causal representations, and at what level of granularity? Using techniques from Bayesian networks, information theory, and decision theory, we develop a formal theory according to which causal representations reflect a trade-off between compression and informativeness, where the optimal trade-off depends on the decision-theoretic value of information for a given agent in a given context. This theory predicts that, all (...) else being equal, agents prefer causal models that are as compressed as possible. When compression is associated with information loss, however, all else is not equal, and our theory predicts that agents will favor compressed models only when the information they sacrifice is not informative with respect to the agent’s anticipated decisions. We then show, across six studies reported here (N=2,364) and one study reported in the supplemental materials (N=182), that participants’ preferences over causal models are in keeping with the predictions of our theory. Our theory offers a unification of different dimensions of causal evaluation identified within the philosophy of science (proportionality and stability), and contributes to a more general picture of human cognition according to which the capacity to create compressed (causal) representations plays a central role. (shrink)

Consider the following two (hypothetical) generic causal claims: “Living in a neighborhood with many families with children increases purchases of bicycles” and “living in an affluent neighborhood with many families with children increases purchases of bicycles.” These claims not only differ in what they suggest about how bicycle ownership is distributed across different neighborhoods (i.e., “the data”), but also have the potential to communicate something about the speakers’ values: namely, the prominence they accord to affluence in representing and making decisions (...) about the social world. Here, we examine the relationship between the level of granularity with which a cause is described in a generic causal claim (e.g., neighborhood vs. affluent neighborhood) and the value of the information contained in the causal model that generates that claim. We argue that listeners who know any two of the following can make reliable inferences about the third: 1) the level of granularity at which a speaker makes a generic causal claim, 2) the speaker’s values, and 3) the data available to the speaker. We present results of four experiments (N=1,323) in the domain of social categories that provide evidence in keeping with these predictions. (shrink)

Several authors have argued that non-extreme probabilities used in special sciences such as chemistry and biology can be objective chances, even if the true microphysical description of the world is deterministic. This article examines an influential version of this argument and shows that it depends on a particular methodology for defining the relationship between coarse-grained and fine-grained events. An alternative methodology for coarse-graining is proposed. This alternative methodology blocks this argument for the existence of emergent chances, and makes better sense (...) of two well-known subjects of philosophical discussion: the Miners Puzzle and Simpson’s Paradox. (shrink)

This dissertation aims to determine the optimal level of granularity for the variables used in probabilistic causal models. These causal models are useful for generating explanations in a number of scientific contexts. In Chapter 1, I argue that there is rarely a unique level of granularity at which a given phenomenon can be causally explained, thereby rejecting various causal exclusion arguments. In Chapter 2, I consider several recent proposals for measuring the explanatory power of causal explanations, and show that these (...) measures fail to track the comparative depth of explanations given at different levels of granularity. In Chapter 3, I offer a pragmatic account of how to partition the measure space of a causal variable so as to optimally explain its effect. My account uses the decision-theoretic notion of value of information, and indexes the relative depth of an explanation to a particular agent faced with a particular decision problem. Chapter 4 applies this same decisiontheoretic framework to answer the epistemic question of how to discover constitutive relationships in nature. In Chapter 5, I describe the formal details of the relationship between random variables that are meant to be coarse-grained and fine-grained representations of the same type of phenomenon. I use this formal framework to rebut a popular argument for the view that special science probabilities can be objective chances. Chapter 6 discusses challenges related to the causal interpretation of Bayes nets that use imprecise rather than precise probabilities. (shrink)

Having a serious illness like breast cancer is a calamity for individuals and families. Along with the pain, discomfort, and dislocation comes the issue of how to pay the medical expenses for the care and treatment of the disease. If the seriously ill person has inadequate or no insurance, these problems are aggravated.Stories abound about seriously ill people losing private health insurance following diagnosis with a catastrophic disease, remaining in jobs just to maintain health insurance, or facing financial hardship because (...) of gaps in coverage. Yet surprisingly little research has focused on the problems that people with serious illness face with health coverage and, in particular, how concerns about access to health insurance coverage shape their lives.Further, despite profoundly moving anecdotes of cancer victims and other seriously ill people about their problems with health insurance and despite recent federal and state efforts to reform the private health insurance market in ways discussed below, neither the federal government, states, nor the private sector has crafted comprehensive strategies to enhance health coverage for the seriously ill. (shrink)

The Problem of Old Evidence is a perennial issue for Bayesian confirmation theory. Garber (Test Sci Theor 10:99–131, 1983) famously argues that the problem can be solved by conditionalizing on the proposition that a hypothesis deductively implies the existence of the old evidence. In recent work, Hartmann and Fitelson (Philos Sci 82(4):712–717, 2015) and Sprenger (Philos Sci 82(3):383–401, 2015) aim for similar, but more general, solutions to the Problem of Old Evidence. These solutions are more general because they allow the (...) explanatory relationship between a new hypothesis and old evidence to be inductive, rather than deductive. In this paper, I argue that these solutions are either unsound or under-motivated, depending on the case of inductive explanation that we have in mind. This lends support to the broader claim that Garber–Style Bayesian confirmation cannot capture the sense in which new hypotheses that do not deductively imply old evidence nevertheless seem to be confirmed via old evidence. (shrink)

Transgender inclusion within policy is critical yet often missing. We propose a policy tool to assesses human rights, access to resources and opportunities, language, and implications for transgender and nonbinary individuals. Acknowledging trans communities as standard policy practice can serve as an essential practice to shift dialogue and norms.

This article addresses some useful coordinates for the analysis of the relationship between philosophy and taxation. My argument aims to show the relevance of a philosophy of taxation and thus draw attention to civic education required to shape a democratic public reason, truthful, critical and attentive. I emphasize the character of “donation” that is the rule of law within a democratic constitutional regime, which depends on tax payments for the purposes proposed, and particularly those of a social distributive justice. I (...) distinguish between charity and justice and political obligation to maintain that by implementing an effective "rule of law" citizens “donate” ourselves mechanisms and procedures for advancing a system of justice as fairness. This grant does not pertain to the field of natural duties, charity or sacrifice of supererogatory acts, but is expressed in institutional programs whose implementation and maintenance required from us pay taxes, but always based on personal commitment. Thus, close to John Rawls I emphasize the value of freedom. (shrink)

The last several years have been marked by a seemingly increasing numbers of individuals with homosexual inclinations. There are consequences to society-wide increases in disordered dispositions, and this paper presents one such consequence. Patients often enter the physician–patient relationship basedon the physician’s “sexual preference.” In order to avoid sexual misconduct from a physician, patients often choose physicians that are not inclined to be sexually attracted to the patient. It is often assumed that a patient can infer a physician’s sexual inclinations (...) by his or her gender, but this is not the case. Due to the inability to determine a health care professional’s “sexual preference” by their gender, a physician has a duty to disclose this information prior to care. National Catholic Bioethics Quarterly 13.3 (Autumn 2013): 445–450. (shrink)

Curie’s Principle says that any symmetry property of a cause must be found in its effect. In this article, I consider Curie’s Principle from the point of view of graphical causal models, and demonstrate that, under one definition of a symmetry transformation, the causal modeling framework does not require anything like Curie’s Principle to be true. On another definition of a symmetry transformation, the graphical causal modeling formalism does imply a version of Curie’s Principle. These results yield a better understanding (...) of the logical landscape with respect to the relationship between Curie’s Principle and graphical causal modeling. (shrink)

Discussions concerning whether there is a natural right to health care may occur in various forms, resulting in policy recommendations for how to implement any such right in a given society. But health care policies may be judged by international standards including the UN Universal Declaration of Human Rights. The rights enumerated in the UDHR are grounded in traditions of moral theory, a philosophical analysis of which is necessary in order to adjudicate the value of specific policies designed to enshrine (...) rights such as a right to health care. We begin with an overview of the drafting of the UDHR and highlight the primary influence of natural law theory in validating the rights contained therein. We then provide an explication of natural law theory by reference to the writings of Thomas Aquinas, as well as elucidate the complementary “capabilities approach” of Martha Nussbaum. We conclude that a right to health care ought to be guaranteed by the state. (shrink)

Formal and social epistemologists have devoted significant attention to the question of how to aggregate the credences of a group of agents who disagree about the probabilities of events. Moss and Pettigrew argue that group credences can be a linear mean of the credences of each individual in the group. By contrast, I argue that if the epistemic value of a credence function is determined solely by its accuracy, then we should, where possible, aggregate the underlying statistical models that individuals (...) use to generate their credence functions, using “stacking” techniques from statistics and machine learning first developed by Wolpert. (shrink)

The Erasmus + Play4Guidance project introduces an online business game, designed to help teach entrepreneurial, transversal and mathematical skills using a real-world business environment. This paper explains how the Business Model Canvas strategy tool facilitated student understanding of real life business development prior to playing the game. An initial mapping exercise was conducted to find out if the Business Model Canvas could transform the experience of playing the game by providing an overview of real life business strategy, and explain the (...) crucial role that markets and customers play in business growth. As a result of the mapping exercise a workshop session was developed to ensure that students could enact the real life business scenarios presented in the game. Three different types of videos were produced and integrated into the workshop to demonstrate key entrepreneurial competencies and graphically illustrate the nine key building blocks of the BMC. Survey responses from a student cohort evidenced that the workshop was central in helping them to understand real life business strategy prior to playing the game. (shrink)

We introduce a framework that can be used to model both mathematics and human reasoning about mathematics. This framework involves stochastic mathematical systems (SMSs), which are stochastic processes that generate pairs of questions and associated answers (with no explicit referents). We use the SMS framework to define normative conditions for mathematical reasoning, by defining a “calibration” relation between a pair of SMSs. The first SMS is the human reasoner, and the second is an “oracle” SMS that can be interpreted as (...) deciding whether the question–answer pairs of the reasoner SMS are valid. To ground thinking, we understand the answers to questions given by this oracle to be the answers that would be given by an SMS representing the entire mathematical community in the infinite long run of the process of asking and answering questions. We then introduce a slight extension of SMSs to allow us to model both the physical universe and human reasoning about the physical universe. We then define a slightly different calibration relation appropriate for the case of scientific reasoning. In this case the first SMS represents a human scientist predicting the outcome of future experiments, while the second SMS represents the physical universe in which the scientist is embedded, with the question–answer pairs of that SMS being specifications of the experiments that will occur and the outcome of those experiments, respectively. Next we derive conditions justifying two important patterns of inference in both mathematical and scientific reasoning: (i) the practice of increasing one’s degree of belief in a claim as one observes increasingly many lines of evidence for that claim, and (ii) abduction, the practice of inferring a claim’s probability of being correct from its explanatory power with respect to some other claim that is already taken to hold for independent reasons. (shrink)

Formal epistemology is a growing field of philosophical research. It is also evolving, with the subject matter of formal epistemology papers changing considerably over the past two decades. To quantify the ways in which formal epistemology is changing, I generate a stochastic block topic model of the abstracts of papers classified by PhilPapers.org as pertaining to formal epistemology. This model identifies fourteen salient topics of formal epistemology abstracts at a first level of abstraction, and four topics at a second level (...) of abstraction. I then study diachronic trends in the degree to which formal epistemology abstracts written in a given year are likely to contain words associated with a particular topic, beginning in 2000 and continuing to 2020. My findings suggest that there has been a marked decline in the likelihood of a given formal epistemology abstract being about logical approaches to belief revision. On the other hand, over the past two decades, the salience of probabilistic techniques in formal epistemology has increased, as has the salience of work at the intersection of formal epistemology and some areas of philosophy of science. (shrink)

Digital piracy as a continuing problem significantly impacts various stakeholders, including consumers, enterprises, and countries. This study develops a three-level mechanism of determinants of consumer digital piracy behavior, with personal risk as an individual factor, susceptibility to interpersonal influence as an inter-personal factor, and moral intensity as a broad societal factor. Further, it explores the role of rationalization and future piracy intent as outcomes of past piracy behaviors. The authors use survey data from four countries in the European Union to (...) test the system of structural relationships. With an exception of the effect of consumers’ susceptibility to interpersonal influence on piracy behavior, the conceptual model receives remarkably consistent support across the four countries. Specifically, perception of personal risk and moral intensity negatively affected the reported piracy behavior in all four countries. The results further support the negative influence of moral intensity and the positive influence of past digital piracy behavior on consumers’ use of rationalization. Lastly, personal risk, rationalization, and past digital piracy behavior directly influenced consumers’ intention to engage in digital piracy in the future. The study also discusses implications of the findings and identifies areas of future research. (shrink)

There have always been medical standards of care in the American health-care sector. However, never before have they been so deeply incorporated in the delivery of health care as they are today. With the increased delivery of care through integrated delivery systems, as well as the development of the computerized patient record, medical standards of care are now used in innovative ways by providers and health plans in delivering health care to individual patients. There is great potential for even more (...) innovative uses of medical standards of care in the future.This article first presents a taxonomy of the medical standards of care that are involved in health-care delivery today Next, the article traces the historical evolution of medical standards of care since the early 1980s. Included in this discussion are the origins of the standard-setting movement as well as the developments that led to the way standards of care are currently used by large institutional providers and managed care plans to improve the quality of their health-care services. The article concludes with a brief analysis of the key legal issues that affect how standards of care can be used to improve the health care of patients. (shrink)

In discussions of the power of causal explanations, one often finds a commitment to two premises. The first is that, all else being equal, a causal explanation is powerful to the extent that it cites the full causal history of why the effect occurred. The second is that, all else being equal, causal explanations are powerful to the extent that the occurrence of a cause allows us to predict the occurrence of its effect. This article proves a representation theorem showing (...) that there is a unique family of functions measuring a causal explanation’s power that satisfies these two premises. (shrink)

Thousands of youth suffering from acquired brain injury or other early-life neurological disease live, mature, and learn with only limited communication and interaction with their world. Such cognitively capable children are ideal candidates for brain-computer interfaces. While BCI systems are rapidly evolving, a fundamental gap exists between technological innovators and the patients and families who stand to benefit. Forays into translating BCI systems to children in recent years have revealed that kids can learn to operate simple BCI with proficiency akin (...) to adults. BCI could bring significant boons to the lives of many children with severe physical impairment, supporting their complex physical and social needs. However, children have been neglected in BCI research and a collaborative BCI research community is required to unite and push pediatric BCI development forward. To this end, the pediatric BCI Canada collaborative network was formed, under a unified goal to cooperatively drive forward pediatric BCI innovation and impact. This article reflects on the topics and discussions raised in the foundational BCI-CAN meeting held in Toronto, ON, Canada in November 2019 and suggests the next steps required to see BCI impact the lives of children with severe neurological disease and their families. (shrink)

Today, public health regulation at all levels faces unprecedented challenges both at home and abroad. The September 11, 2001 attacks on New York and Washington, D.C., by the Al Qaeda terrorist network and the anthrax bioterrorism that followed shortly thereafter have put public health regulation at the forefront of homeland security. The anthrax scare, in particular, has greatly tested the American public health system, calling into question whether the United States and its component states and localities are prepared to handle (...) a major outbreak of infectious disease, such as smallpox, in a future bioterrorist action. While the response of public health agencies was commendable, especially in light of the magnitude of the assaults, it is manifestly clear that the American public health system will be hard pressed to meet similar challenges that may lie ahead.The events of fall 2001 follow a period of major challenges for public health. The AIDS pandemic has killed millions of people throughout the globe, especially in Africa and other parts of the developing world. (shrink)