Personal authenticity is out of fashion amongst analytic philosophers. Yet, Kierkegaard, Nietzsche, Heidegger, Sartre and Camus were clearly preoccupied by its theoretical and practical viability. In this study, Jacob Golomb illuminates the writings of these philosophers in an attempt to explain their particular ethical stance on the subject. This book will prove invaluable reading for students and teachers of philosophy, literature and education and indeed for anyone who has ever empathized with Camus's Meursault, Sartre's Matthieu or Nietzsche's Zarathustra.

Some of a person's mental states have the power to represent real and imagined states of affairs: they have semantic properties. What Minds Can Do has two goals: to find a naturalistic or non-semantic basis for the representational powers of a person's mind, and to show that these semantic properties are involved in the causal explanation of the person's behaviour. In the process, this 1997 book addresses issues that are central to much contemporary philosophical debate. It will be of interest (...) to a wide range of readers in philosophy of mind and of language, cognitive science, and psychology. (shrink)

An astonishing volume and diversity of evidence is available for many hypotheses in the biomedical and social sciences. Some of this evidence—usually from randomized controlled trials (RCTs)—is amalgamated by meta-analysis. Despite the ongoing debate regarding whether or not RCTs are the ‘gold-standard’ of evidence, it is usually meta-analysis which is considered the best source of evidence: meta-analysis is thought by many to be the platinum standard of evidence. However, I argue that meta-analysis falls far short of that standard. Different meta-analyses (...) of the same evidence can reach contradictory conclusions. Meta-analysis fails to provide objective grounds for intersubjective assessments of hypotheses because numerous decisions must be made when performing a meta-analysis which allow wide latitude for subjective idiosyncrasies to influence its outcome. I end by suggesting that an older tradition of evidence in medicine—the plurality of reasoning strategies appealed to by the epidemiologist Sir Bradford Hill—is a superior strategy for assessing a large volume and diversity of evidence. (shrink)

A stereotype is a belief or claim that a group of people has a particular feature. Stereotypes are expressed by sentences that have the form of generic statements, like “Canadians are nice.” Recent work on generics lends new life to understanding generics as statements involving probabilities. I argue that generics (and thus sentences expressing stereotypes) can take one of several forms involving conditional probabilities, and these probabilities have what I call a naturalness requirement. This is the natural probability theory of (...) stereotypes. Each of the two components of the theory entails a family of fallacies that contributes to the spurious reinforcement of stereotypes: inferential slippage within and between the different generic forms, and inferential slippage from facts about frequencies of group traits to beliefs about natural propensities or dispositions of groups. Empirical research suggests that we often commit these fallacies. Moreover, this theory can referee a vitriolic debate between some psychologists, who hold that stereotypes are always false and stereotyping is always wrong, and other psychologists, who hold that stereotypes are often accurate and stereotyping is often reasonable. (shrink)

Robustness arguments hold that hypotheses are more likely to be true when they are confirmed by diverse kinds of evidence. Robustness arguments require the confirming evidence to be independent. We identify two kinds of independence appealed to in robustness arguments: ontic independence —when the multiple lines of evidence depend on different materials, assumptions, or theories—and probabilistic independence. Many assume that OI is sufficient for a robustness argument to be warranted. However, we argue that, as typically construed, OI is not a (...) sufficient independence condition for warranting robustness arguments. We show that OI evidence can collectively confirm a hypothesis to a lower degree than individual lines of evidence, contrary to the standard assumption undergirding usual robustness arguments. We employ Bayesian networks to represent the ideal empirical scenario for a robustness argument and a variety of ways in which empirical scenarios can fall short of this ideal. (shrink)

The value-free ideal for science holds that values should not influence the core features of scientific reasoning. We defend the difference-to-inference model of value-permeation, which holds that value-permeation in science is problematic when values make a difference to the inferences made about a hypothesis. This view of value-permeation is superior to existing views, and it suggests a corresponding maxim—namely, that scientists should strive to eliminate differences to inference. This maxim is the basis of a novel value-free ideal for science. -/- (...) . (shrink)

I defend a radical interpretation of biological populations—what I call population pluralism—which holds that there are many ways that a particular grouping of individuals can be related such that the grouping satisfies the conditions necessary for those individuals to evolve together. More constraining accounts of biological populations face empirical counter-examples and conceptual difficulties. One of the most intuitive and frequently employed conditions, causal connectivity—itself beset with numerous difficulties—is best construed by considering the relevant causal relations as ‘thick’ causal concepts. I (...) argue that the fine-grained causal relations that could constitute membership in a biological population are huge in number and many are manifested by degree, and thus we can construe population membership as being defined by massively multidimensional constructs, the differences between which are largely arbitrary. I end by showing that positions in two recent debates in theoretical biology depend on a view of biological populations at odds with the pluralism defended here. (shrink)

The revised classic on the professional and legal standards of school psychology This completely updated edition of the leading ethics and law guide provides ...

Nobilitas is a study of the history of aristocratic philosophy from ancient Greece to the early twentieth century that aims at providing an alternative to the liberal democratic norms, which are propagated today as the only viable socio-political system for the world community. Jacob reveals that, contrary to popular belief, the social and cultural development of European civilization has, for twenty-five centuries, been based not on democratic or communist notions but, rather on aristocratic and nationalist notions. Beginning with the (...) political philosophies of Plato and Aristotle, and continuing through Renaissance and Baroque aristocratic philosophers, the German Idealists, and English and Italian nationalists, the study ends with the transformation of aristocratic philosophy in nineteenth century Germany into racist elitism. As such, the study includes a survey of the philosophical bases of racism and anti-Semitism. These topics have been systematically excluded from academic and political debate since the end of the last Great War. This study is a pioneering work in understanding and changing political ideologies. (shrink)

Harms of medical interventions are systematically underestimated in clinical research. Numerous factors—conceptual, methodological, and social—contribute to this underestimation. I articulate the depth of such underestimation by describing these factors at the various stages of clinical research. Before any evidence is gathered, the ways harms are operationalized in clinical research contributes to their underestimation. Medical interventions are first tested in phase 1 ‘first in human’ trials, but evidence from these trials is rarely published, despite the fact that such trials provide the (...) foundation for assessing the harm profile of medical interventions. If a medical intervention is deemed safe in a phase 1 trial, it is tested in larger phase 2 and 3 clinical trials. One way to think about the problem of underestimating harms is in terms of the statistical ‘power’ of a clinical trial—the ability of a trial to detect a difference of a certain effect size between the experimental group and the control group. Power is normally thought to be pertinent to detecting benefits of medical interventions. It is important, though, to distinguish between the ability of a trial to detect benefits and the ability of a trial to detect harms. I refer to the former as power-B and the latter as power-H. I identify several factors that maximize power-B by sacrificing powerH in phase 3 clinical trials. If a medical intervention is approved for general use, it is evaluated by phase 4 post-market surveillance. Phase 4 surveillance of harms further contributes to underestimating the harm profile of medical interventions. At every stage of clinical research the hunt for harms is shrouded in secrecy, which further contributes to the underestimation of the harm profiles of medical interventions. (shrink)

Amalgamating evidence of different kinds for the same hypothesis into an overall confirmation is analogous, I argue, to amalgamating individuals’ preferences into a group preference. The latter faces well-known impossibility theorems, most famously “Arrow’s Theorem”. Once the analogy between amalgamating evidence and amalgamating preferences is tight, it is obvious that amalgamating evidence might face a theorem similar to Arrow’s. I prove that this is so, and end by discussing the plausibility of the axioms required for the theorem.

I defend a radical interpretation of biological populations—what I call population pluralism—which holds that there are many ways that a particular grouping of individuals can be related such that the grouping satisfies the conditions necessary for those individuals to evolve together. More constraining accounts of biological populations face empirical counter-examples and conceptual difficulties. One of the most intuitive and frequently employed conditions, causal connectivity—itself beset with numerous difficulties—is best construed by considering the relevant causal relations as ‘thick’ causal concepts. I (...) argue that the fine-grained causal relations that could constitute membership in a biological population are huge in number and many are manifested by degree, and thus we can construe population membership as being defined by massively multidimensional constructs, the differences between which are largely arbitrary. I end by showing that positions in two recent debates in theoretical biology depend on a view of biological populations at odds with the pluralism defended here. 1 Introduction2 Biological Population, Broad and Narrow3 Difficulties with Narrow Biological Population Conditions3.1 Against the genealogical condition3.2 Against the conspecificity condition3.3 Against the proximity condition3.4 Against the typology condition4 Causal Connectivity5 Massively Multidimensional Population Constructs6 Population Uniqueness and Natural Selection6.1 Statisticalism and its discontents6.2 Price at what price?7 Conclusion. (shrink)

Consensus conferences are social techniques which involve bringing together a group of scientific experts, and sometimes also non-experts, in order to increase the public role in science and related policy, to amalgamate diverse and often contradictory evidence for a hypothesis of interest, and to achieve scientific consensus or at least the appearance of consensus among scientists. For consensus conferences that set out to amalgamate evidence, I propose three desiderata: Inclusivity, Constraint, and Evidential Complexity. Two examples suggest that consensus conferences can (...) readily satisfy Inclusivity and Evidential Complexity, but consensus conferences do not as easily satisfy Constraint. I end by discussing the relation between social inclusivity and the three desiderata. (shrink)

Abstract:In this essay, I argue against the bright-line distinction between ideal and nonideal normative political theory, a distinction used to distinguish “stages” of theorizing such that ideal political principles can be deduced and examined before compromises with the flawed political world are made. The distinction took on its familiar form in Rawls and has enjoyed a resurgence of interest in the past few years. I argue that the idea of a categorical distinction — the kind that could allow for a (...) sequencing of stages of theorizing — is misconceived, because wholly “ideal” normative political theory is a conceptual mistake, the equivalent of taking the simplifying models of introductory physics (“frictionless movement in a vacuum”) and trying to develop an ideal theory of aerodynamics. Political organization and justice are about moral friction in the first instance. I examine both logical and epistemological arguments for the position that we need the uniquely idealizing assumptions of ideal theory in order to arrive at, or to know, a genuine theory of justice or political morality; and I find them wanting. Such assumptions as full compliance, consensus, and the publicity principle of universal knowledge about consensus can sometimes be useful, if used carefully and with justification; but they are not categorically different from other idealizing and abstracting assumptions in generating normative theory. What is referred to as “nonideal” theory is all that there is, and it is many kinds of theory, not one — the many ways in which we learn about justice and injustice, and seek to answer questions of practical reason about what ought to be done in our political world. (shrink)

I pursue here three related aims. First, I criticise some of the metaphysical claims made on behalf of the so-called `enactive' approach to visual experience. Secondly, I explain why the enactive view of visual experience is hard to square with the evidence in favour of the two-visual-systems model of human vision. Finally, I explore one possible way to develop the `pre-emptive perception' framework and explain why, contrary to first appearances, some of the fundamental discoveries of brain mechanisms, whose function might (...) be to underlie pre-emptive perception, do not really support the enactive approach to visual experience. (shrink)

Since its inception in 1994, scriptural reasoning has been practiced by academics and religious laypeople on an international scale. Scriptural reasoning is an activity or practice where Jews, Christians, and Muslims read and study together short passages from their traditionally sacred texts. In this book, Jacob L. Goodson describes this activity by giving a tour through modern philosophy and showing how certain arguments, ideas, and theories from modern philosophers help make sense of this inter-religious practice. According to Goodson, one (...) of the most interesting aspects of the practice of scriptural reasoning concerns how its driven by a tension between pragmatism and semiotics—what he calls purposefulness (pragmatism) vs. playfulness (semiotics) throughout the book. Can inter-religious practices only be playful, in terms of an academic “leisure activity”? Or do inter-religious practices need to strive toward a greater end or even a higher purpose, such as peace-making among the Abrahamic faiths or inter-religious friendships? In each individual chapter, Goodson explores this tension within the practice of scriptural reasoning. Utilizing Immanuel Kant’s deontology, Goodson concludes by demonstrating how the practice of scriptural reasoning might work if only two rules are in place while participating in it. (shrink)

Abstract The liberalism of fear urged by Judith Shklar emphasizes the dangers of political violence, cruelty, and humiliation. Those dangers clearly mark ethnic and cultural conflicts, so the liberalism of fear is an especially appropriate political ethic for an age marked by such conflicts. A multiculturalism of fear keeps its attention on those central political dangers while also noting that some kinds of cruelty and humiliation might not be appreciated without reference to the larger ethnic and cultural context, and that (...) treating ethnicity and culture as completely outside of politics is not the best way to prevent cruelty. (shrink)

Healthcare expenditures account for approximately 9% of GDP in OECD countries and are on an upward trajectory (OECD, 2017). This significant financial burden, combined with an aging global population and increasing demand, emphasizes the imperative for sustained research and innovation to enhance health system efficacy. Key to this transformation are technological advancements, including digital health, which presents novel opportunities for improvement. Emerging digital health technologies, such as virtual consultations, complex imaging procedures, and electronic medical records, are fundamental to modern healthcare (...) infrastructures. However, significant gaps remain in the evaluation and understanding of these innovations, especially for nascent technological areas. This thesis addresses this subject, aiming to delineate how individuals and institutions can bolster their evaluative capabilities, strategic decision-making, and planning for the deployment of emerging digital healthcare technologies. The research methodology amalgamates theoretical exploration, literature scrutiny, and empirical examinations, presenting an integrated perspective that intersects the disciplines of Management & Decision Science, Technology & Innovation, and Health Economics & Outcomes Research. From an applied perspective, this research focuses on developing evidence within the context of pediatric healthcare in Canada — a context notably underrepresented in healthcare management research, despite its disproportionate per capita expenditure. Technologically, the predominant focus is on applications in virtual reality (VR) and three-dimensional (3D) printing and virtualization, though with the aspiration of ensuring the generalizability of results. The current thesis is structured to parallel the progression of the research itself, as three distinct phases; this begins with a comprehensive Background that contextualizes the initial intent, exploring the relationship between technology, innovation, and health outcomes. In this phase, each academic discipline is analyzed to identify base theoretical underpinnings for the research. The second phase of this work includes five empirical studies, each preceded by context-specific literature reviews for the respective technological domain, providing insight into the current state of evidence related to value-based assessment and economic evaluation in that area. Empirical studies included a randomized controlled trial and a cost consequences assessment of VR for pre-procedural preparation for medical imaging. Additionally, novel applications of 3D printing and virtualization are critically analyzed, accompanied by a multi-case study on the implementation of 3D printing in pediatrics, a cost-consequences study of applications for thoracoabdominal surgeries, and an outcomes study on the use of 3D virtualization in medical education during the COVID-19 pandemic. The final phase of this research includes the critical analysis and synthesis of findings into a proposal for a novel value-based assessment and decision-making framework specific to emerging health innovations; this framework integrates insights and resources for clinicians, administrators, and policymakers. The outcomes of this research are skewed toward Knowledge Users, but also aims to advance the theoretical basis for health technology assessment (HTA). (shrink)

As a naturalistically inclined philosopher, I reject the thesis that meaning is intrinsically normative. I consider the deflationary proposal that meaning is not normative at all and I find it unacceptable. I argue from the difficulties met by the deflationary proposal in favor of the teleosemantic view that the normativity of meaning arises from biological functions.

Medical scientists employ ‘quality assessment tools’ (QATs) to measure the quality of evidence from clinical studies, especially randomized controlled trials (RCTs). These tools are designed to take into account various methodological details of clinical studies, including randomization, blinding, and other features of studies deemed relevant to minimizing bias and error. There are now dozens available. The various QATs on offer differ widely from each other, and second-order empirical studies show that QATs have low inter-rater reliability and low inter-tool reliability. This (...) is an instance of a more general problem I call the underdetermination of evidential significance. Disagreements about the strength of a particular piece of evidence can be due to different—but in principle equally good—weightings of the fine-grained methodological features which constitute QATs. (shrink)

Jerry Fodor argued for an account of belief attribution very close to the theory of direct reference. I argue that his account conflicts with constraints on psychological explanation which he ought to accept.

I examine and criticize John Searle's view of the relationships between consciousness, intentionality and function.

I examine the impact of human metarepresentational abilities on human memory.

This timely Research Handbook offers significant insights into an understudied subject, bringing together a broad range of socio-legal studies of medicine to help answer complex and interdisciplinary questions about global health - a major challenge of our time. Interdisciplinary chapters explore both how the terrain of medicine can generate new questions about law, regulation and the state, and how the law intersects with health and medicine at every level. Bringing together leading international scholars, the Research Handbook assembles concrete case studies (...) to suggest avenues for further research on socio-legal inquiries, such as the construction of disorders by law, the reparation of injuries, and how race and gender impact justice. The Research Handbook for Socio-Legal Studies of Medicine and Health will be an inspiring read for researchers, academics and graduate students in the fields of health law, socio-legal studies, and gender and sexuality. (shrink)