An exploration of modern society and the critical value of popular culture.

This essay explores the lasting theoretical value of Marcuse’s “repressive desublimation” via the psychoanalytic concepts of Žižek and Lacan. It argues that Marcuse’s theory should be adapted to include Lacanian notions of death drive and enjoyment, but also that it remains particularly suitable to structurally define consumer capitalist ideologies that incorporate both drive and immediate gratification to reinforce institutional patriarchy. Combining the theories then reveals a paradoxical demand to “enjoy responsibly,” which engenders various indirect rationalizations of Marcuse’s “performance principle.” This (...) interpretation also points to various positive ideological beliefs with critical significance that exceeds Marcuse’s focus on their “higher unification.”. (shrink)

Professionalism requires that physicians uphold the best interests of patients while simultaneously insuring just use of health care resources. Current articulations of these obligations like the American Board of Internal Medicine Foundation's Physician Charter do not reconcile how these obligations fit together when they conflict. This is the problem of dual agency. The most common ways of dealing with dual agency: “bunkering”—physicians act as though societal cost issues are not their problem; “bailing”—physicians assume that they are merely agents of society (...) and deliver care typically based on a strongly consequentialist public health ethic; or “balancing”—a vaguely specified attempt to uphold both patient welfare and societal need for judicious resource use simultaneously—all fail. Here I propose how the problem of dual agency might begin to be addressed with rigor and consistency. Without dealing with the dual agency problem and getting more specific about how to reconcile its norms when they conflict, the expectations of professionalism risk being written off as cute, nonbinding aphorisms from the medical profession. (shrink)

Objective Bayesianism is a methodological theory that is currently applied in statistics, philosophy, artificial intelligence, physics and other sciences. This book develops the formal and philosophical foundations of the theory, at a level accessible to a graduate student with some familiarity with mathematical notation.

Preservation and interpolation results are obtained for L ∞ω and sublogics $\mathscr{L} \subseteq L_{\infty\omega}$ such that equivalence in L can be characterized by suitable back-and-forth conditions on sets of partial isomorphisms.

Bayesian nets are widely used in artificial intelligence as a calculus for causal reasoning, enabling machines to make predictions, perform diagnoses, take decisions and even to discover causal relationships. This book, aimed at researchers and graduate students in computer science, mathematics and philosophy, brings together two important research topics: how to automate reasoning in artificial intelligence, and the nature of causality and probability in philosophy.

While there are several arguments on either side, it is far from clear as to whether or not countable additivity is an acceptable axiom of subjective probability. I focus here on de Finetti's central argument against countable additivity and provide a new Dutch book proof of the principle, To argue that if we accept the Dutch book foundations of subjective probability, countable additivity is an unavoidable constraint.

The orthodox view in statistics has it that frequentism and Bayesianism are diametrically opposed—two totally incompatible takes on the problem of statistical inference. This paper argues to the contrary that the two approaches are complementary and need to mesh if probabilistic reasoning is to be carried out correctly.

The claim that corporations are not people is perhaps the most frequently voiced criticism of the United States Supreme Court decision Citizens United v. Federal Election Commission. There is something obviously correct about this claim. While the nature and extent of obligations with respect to group agents like corporations and labor unions is far from clear, it is manifest in moral understanding and deeply embedded in legal practice that there is no general requirement to treat them like natural persons. Group (...) agents may be denied rights to marry, vote, or run for public office. More generally the need to guard against discrimination, the core injustice in racism and sexism, has no direct application to the case of group agents. There is also something obviously incorrect about the claim that corporations are not people. The legal practice of treating some group agents as persons under law is ancient, found already in Roman law at the time of Justinian. In this essay I propose that reflection on this tension reveals that fundamental revision to the doctrine of legal personhood is needed. More specifically I propose that legal personhood be decomposed into at least two elements—standing and liability—and that legal systems reject the principle that an entity possesses one just in case it possesses the other. The import of this change ramifies broadly. Decomposing legal personhood not only enables a satisfactory account of the status of corporations and labor unions, who as such have liability but not standing, it also enables a satisfactory account of the status of those who as such have standing but not liability: severely mentally disabled persons, very young children, and non-human animals with phenomenal consciousness but lacking capacities to understand reasons and justifications. (shrink)

The Human Sciences after the Decade of the Brain brings together exciting new works that address today’s key challenges for a mutual interaction between cognitive neuroscience and the social sciences and humanities. Taking up the methodological and conceptual problems of choosing a neuroscience approach to disciplines such as philosophy, history, ethics and education, the book deepens discussions on a range of epistemological, historical, and sociological questions about the "neuro-turn" in the new millennium. The book’s three sections focus on (i) epistemological (...) questions posed by neurobiologically informed approaches to philosophy and history, (ii) neuroscience’s influence on explanations for social and moral behavior, and (iii) the consequences of the neuro-turn in diverse sectors of social life such as science, education, film, and human self-understanding. This book is an important resource both for students and scholars of cognitive neuroscience and biological psychology interested in the philosophical, ethical, and societal influences of—and on—their work as well as for students and scholars from the social sciences and humanities interested in neuroscience. (shrink)

The epistemic theory of causality is analogous to epistemic theories of probability. Most proponents of epistemic probability would argue that one's degrees of belief should be calibrated to chances, insofar as one has evidence of chances. The question arises as to whether causal beliefs should satisfy an analogous calibration norm. In this paper, I formulate a particular version of a norm requiring calibration to chances and argue that this norm is the most fundamental evidential norm for epistemic probability. I then (...) develop an analogous calibration norm for epistemic causality, argue that it is the *only* evidential norm required for epistemic causality, and show how an epistemic account of causality that incorporates this norm can be used to analyse objective causal relationships. (shrink)

Objective Bayesianism has been criticised on the grounds that objective Bayesian updating, which on a finite outcome space appeals to the maximum entropy principle, differs from Bayesian conditionalisation. The main task of this paper is to show that this objection backfires: the difference between the two forms of updating reflects negatively on Bayesian conditionalisation rather than on objective Bayesian updating. The paper also reviews some existing criticisms and justifications of conditionalisation, arguing in particular that the diachronic Dutch book justification fails (...) because diachronic Dutch book arguments are subject to a reductio: in certain circumstances one can Dutch book an agent however she changes her degrees of belief . One may also criticise objective Bayesianism on the grounds that its norms are not compulsory but voluntary, the result of a stance. It is argued that this second objection also misses the mark, since objective Bayesian norms are tied up in the very notion of degrees of belief. (shrink)

The EBM+ programme is an attempt to improve the way in which present-day evidence-based medicine (EBM) assesses causal claims: according to EBM+, mechanistic studies should be scrutinised alongside association studies. This paper addresses two worries about EBM+: (i) that it is not feasible in practice, and (ii) that it is too malleable, i.e., its results depend on subjective choices that need to be made in order to implement the procedure. Several responses to these two worries are considered and evaluated. The (...) paper also discusses the question of whether we should have confidence in medical interventions, in the light of Stegenga’s arguments for medical nihilism. (shrink)

Panic buying of toilet rolls in Australia began in early March 2020. This was related to the realisation that the novel coronavirus was spreading across the country. To the general population the impact of the virus was unknown. Gradually the federal government started closing the country’s borders. The panic buying of toilet rolls was not unique to Australia. It happened across all societies that used toilet paper rather than water to clean after defecation and urination. However, research suggests that the (...) panic buying was most extreme in Australia. This article argues that the panic buying was closely linked to everyday notions of Western civilisation. Pedestal toilets and toilet paper are key aspects of civilisation and the fear of the loss of toilet paper is connected to anxiety about social breakdown, the loss of civilisation. This is the fear manifested in the perceived threat posed by the virus. (shrink)

The EBM+ programme is an attempt to improve the way in which present-day evidence-based medicine (EBM) assesses causal claims: according to EBM+, mechanistic studies should be scrutinised alongside association studies. This paper addresses two worries about EBM+: (i) that it is not feasible in practice, and (ii) that it is too malleable, i.e., its results depend on subjective choices that need to be made in order to implement the procedure. Several responses to these two worries are considered and evaluated. The (...) paper also discusses the question of whether we should have confidence in medical interventions, in the light of Stegenga's arguments for medical nihilism. (shrink)

After introducing a range of mechanistic theories of causality and some of the problems they face, I argue that while there is a decisive case against a purely mechanistic analysis, a viable theory of causality must incorporate mechanisms as an ingredient. I describe one way of providing an analysis of causality which reaps the rewards of the mechanistic approach without succumbing to its pitfalls.

When a proposition is established, it can be taken as evidence for other propositions. Can the Bayesian theory of rational belief and action provide an account of establishing? I argue that it can, but only if the Bayesian is willing to endorse objective constraints on both probabilities and utilities, and willing to deny that it is rationally permissible to defer wholesale to expert opinion. I develop a new account of deference that accommodates this latter requirement.

Inductive logic admits a variety of semantics (Haenni et al., 2011, Part 1). This paper develops semantics based on the norms of Bayesian epistemology (Williamson, 2010, Chapter 7). §1 introduces the semantics and then, in §2, the paper explores methods for drawing inferences in the resulting logic and compares the methods of this paper with the methods of Barnett and Paris (2008). §3 then evaluates this Bayesian inductive logic in the light of four traditional critiques of inductive logic, arguing (i) (...) that it is language independent in a key sense, (ii) that it admits connections with the Principle of Indifference but these connections do not lead to paradox, (iii) that it can capture the phenomenon of learning from experience, and (iv) that while the logic advocates scepticism with regard to some universal hypotheses, such scepticism is not problematic from the point of view of scientific theorising. (shrink)

This paper presents a new argument for the Principle of Indifference. This argument can be thought of in two ways: as a pragmatic argument, justifying the principle as needing to hold if one is to minimise worst-case expected loss, or as an epistemic argument, justifying the principle as needing to hold in order to minimise worst-case expected inaccuracy. The question arises as to which interpretation is preferable. I show that the epistemic argument contradicts Evidentialism and suggest that the relative plausibility (...) of Evidentialism provides grounds to prefer the pragmatic interpretation. If this is right, it extends to a general preference for pragmatic arguments for the Principle of Indifference, and also to a general preference for pragmatic arguments for other norms of Bayesian epistemology. (shrink)

In recent years much effort has gone into the study of languages which strengthen the classical first-order predicate calculus in various ways. This effort has been motivated by the desire to find a language which is(I) strong enough to express interesting properties not expressible by the classical language, but(II) still simple enough to yield interesting general results. Languages investigated include second-order logic, weak second-order logic, ω-logic, languages with generalized quantifiers, and infinitary logic.

Exploring the dynamic interface of environmental psychology and psycholinguistics, this investigation delves into how simulated weather conditions – sunny versus rainy – affect emotional perceptions of linguistic stimuli within a Virtual Reality (VR) framework. Participants assessed words’ emotional valence being exposed to these distinct environmental simulations. Contrary to expectations, we found that while rainy conditions modestly prolonged response times, they did not significantly alter the emotional valence attributed to words. Our study shows that weather can affect emotional cognition, but intrinsic (...) emotional word properties are resilient to environmental influences. This highlights the complex interplay between environmental factors and linguistic processing and reaffirms the importance of environmental contexts in cognitive and emotional evaluations, especially in the face of climate change. By integrating VR technology with environmental psychology and linguistics, our research offers novel insights into the subtle yet significant ways in which virtual and real-world environments converge to shape human emotional and cognitive responses. (shrink)

Objective Bayesian probability is often defined over rather simple domains, e.g., finite event spaces or propositional languages. This paper investigates the extension of objective Bayesianism to first-order logical languages. It is argued that the objective Bayesian should choose a probability function, from all those that satisfy constraints imposed by background knowledge, that is closest to a particular frequency-induced probability function which generalises the λ = 0 function of Carnap’s continuum of inductive methods.

This essay examines Perth as portrayed through the lyrics of popular songs written by people who grew up in the city. These lyrics tend to reproduce the dominant myths about the city: that it is isolated, that it is self-satisfied, that little happens there. Perth became the focus of song lyrics during the late 1970s time of punk with titles such as ‘Arsehole of the Universe’ and ‘Perth Is a Culture Shock’. Even the Eurogliders’ 1984 hit, ‘Heaven Must Be There’, (...) is based on a rejection of life in Perth. However, Perth was also home to Dave Warner, whose songs in the 1970s and early 1980s offered vignettes, which is itself a title of one of Warner’s tracks, of the youthful, male suburban experience. The essay goes on to examine songs by the Triffids, Bob Evans, Sleepy Township and the Panda Band. (shrink)

It is argued in this paper that the valid argument forms coming under the general heading of Demonstrative Induction have played a highly significant role in the history of theoretical physics. This situation was thoroughly appreciated by several earlier philosophers of science and deserves to be more widely known and understood.

This article presents a critical examination of the process of stakeholder dialogue in the Corporate Social Responsibility (CSR) field. It utilises data from a three-year research project into stakeholder dialogue processes to discuss three central themes: first, what is meant by the term ‘dialogue’, both from a theoretical perspective and from its practical application within CSR; second, the challenges of creating effective dialogue; and third, measuring and assessing the potential outcomes of dialogue. In providing a critical overview of these themes, (...) the article examines the nature of organisational learning through stakeholder engagement and dialogue. It questions the motives behind engagement in dialogue and highlights some of the potential challenges for organisational learning posed by opting for a stakeholder dialogue approach. It argues that organisations engaging in stakeholder dialogue must have a clear understanding of the implications of undertaking a dialogue process and have a long-term perspective regarding the outcomes and learning likely to emerge from it. While stakeholder dialogue may produce significant results, it is argued, many of these may be difficult to quantify on a short-term basis. (shrink)

Three recent genome‐wide studies in mice and humans have produced the most definitive map to date of genomic imprinting (gene expression that depends on parental origin) by incorporating multiple tissue types and developmental stages. Here, we explore the results of these studies in light of the kinship theory of genomic imprinting, which predicts that imprinting evolves due to differential genetic relatedness between maternal and paternal relatives. The studies produce a list of imprinted genes with around 120–180 in mice and ∼100 (...) in humans. The studies agree on broad patterns across mice and humans including the complex patterns of imprinted expression at loci like Igf2 and Grb10. We discuss how the kinship theory provides a powerful framework for hypotheses that can explain these patterns. Finally, since imprinting is rare in the genome despite predictions from the kinship theory that it might be common, we discuss evolutionary factors that could favor biallelic expression. (shrink)

this paper we argue that the formalism can also be applied to modelling the hierarchical structure of physical mechanisms. The resulting network contains quantitative information about probabilities, as well as qualitative information about mechanistic structure and causal relations. Since information about probabilities, mechanisms and causal relations are vital for prediction, explanation and control respectively, a recursive Bayesian net can be applied to all these tasks. We show how a Recursive Bayesian Net can be used to model mechanisms in cancer science. (...) The highest level of the proposed model will contain variables at the clinical level, while a middle level will map the structure of the DNA damage response mechanism and the lowest level will contain information about gene expression. (shrink)

Key Terms in Logic offers the ideal introduction to this core area in the study of philosophy, providing detailed summaries of the important concepts in the study of logic and the application of logic to the rest of philosophy. A brief introduction provides context and background, while the following chapters offer detailed definitions of key terms and concepts, introductions to the work of key thinkers and lists of key texts. Designed specifically to meet the needs of students and assuming no (...) prior knowledge of the subject, this is the ideal reference tool for those coming to Logic for the first time. (shrink)

Key Terms in Logic offers the ideal introduction to this core area in the study of philosophy, providing detailed summaries of the important concepts in the study of logic and the application of logic to the rest of philosophy. A brief introduction provides context and background, while the following chapters offer detailed definitions of key terms and concepts, introductions to the work of key thinkers and lists of key texts. Designed specifically to meet the needs of students and assuming no (...) prior knowledge of the subject, this is the ideal reference tool for those coming to Logic for the first time. (shrink)

Key Terms in Logic offers the ideal introduction to this core area in the study of philosophy, providing detailed summaries of the important concepts in the study of logic and the application of logic to the rest of philosophy. A brief introduction provides context and background, while the following chapters offer detailed definitions of key terms and concepts, introductions to the work of key thinkers and lists of key texts. Designed specifically to meet the needs of students and assuming no (...) prior knowledge of the subject, this is the ideal reference tool for those coming to Logic for the first time. (shrink)

Metabolism is a set of chemical reactions, used by living organisms to process chemical compounds in order to take energy and eliminate toxic compounds, for example. Its processes are referred as metabolic pathways. Understanding metabolism is imperative to biology, toxicology and medicine, but the number and complexity of metabolic pathways makes this a difficult task. In our paper, we investigate the use of causal Bayesian networks to model the pathways of yeast saccharomyces cerevisiae metabolism: such a network can be used (...) to draw predictions about the levels of metabolites and enzymes in a particular specimen. We propose a two-stage methodology for causal networks, as follows. First construct a causal network from the network of metabolic pathways. The viability of this causal network depends on the validity of the causal Markov condition. If this condition fails, however, the principle of the common cause motivates the addition of a new causal arrow or a new `hidden' common cause to the network (stage 2 of the model formation process). Algorithms for adding arrows or hidden nodes have been developed separately in a number of papers, and in this paper we combine them, showing how the resulting procedure can be applied to the metabolic pathway problem. Our general approach was tested on neural cell morphology data and demonstrated noticeable improvements in both prediction and network accuracy. (shrink)