This paper focuses on the push to stabilise society through civil defence education (CDE) in the changing context of nationalism and populism. We analysed the way in which justifications and criticism of civil defence education (CDE) have evolved as an ordering project intended to solve the problems with dangers that were variously defined. We identified two locations of the danger to be tackled by the new CDE – external and specific; and internal and general – which partly correspond to key (...) political events: the migrant and Ukraine crises, and pre-election battles. Transformation of dangers stabilised education’s subservient role while destabilising educators’ position in the public debate. Drawing on relational sociology, qualitative analysis of the Czech media, and interviews, we show that the dangers defined by educational actors are circumvented to be replaced by populist and nationalist problems that were not the problems of the actors who would be most affected by the proposed curricular changes. We suggest looking at contemporary nationalists’ claims in education as a sign that topological arrangements are being reshaped among political, educational, and civic actors in terms of divides, externality, and irrelevance. (shrink)

In this paper we explore the constraints that our preferred account of scientific representation places on the ontology of scientific models. Pace the Direct Representation view associated with Arnon Levy and Adam Toon we argue that scientific models should be thought of as imagined systems, and clarify the relationship between imagination and representation.

It is now part and parcel of the official philosophical wisdom that models are essential to the acquisition and organisation of scientific knowledge. It is also generally accepted that most models represent their target systems in one way or another. But what does it mean for a model to represent its target system? I begin by introducing three conundrums that a theory of scientific representation has to come to terms with and then address the question of whether the semantic view (...) of theories, which is the currently most widely accepted account of theories and models, provides us with adequate answers to these questions. After having argued in some detail that it does not, I conclude by pointing out in what direction a tenable account of scientific representation might be sought. (shrink)

This is an extensive review of recent work on the foundations of statistical mechanics.

Computer simulations are an exciting tool that plays important roles in many scientific disciplines. This has attracted the attention of a number of philosophers of science. The main tenor in this literature is that computer simulations not only constitute interesting and powerful new science , but that they also raise a host of new philosophical issues. The protagonists in this debate claim no less than that simulations call into question our philosophical understanding of scientific ontology, the epistemology and semantics of (...) models and theories, and the relation between experimentation and theorising, and submit that simulations demand a fundamentally new philosophy of science in many respects. The aim of this paper is to critically evaluate these claims. Our conclusion will be sober. We argue that these claims are overblown and that simulations, far from demanding a new metaphysics, epistemology, semantics and methodology, raise few if any new philosophical problems. The philosophical problems that do come up in connection with simulations are not specific to simulations and most of them are variants of problems that have been discussed in other contexts before. (shrink)

Many scientific models are representations. Building on Goodman and Elgin’s notion of representation-as we analyse what this claim involves by providing a general definition of what makes something a scientific model, and formulating a novel account of how they represent. We call the result the DEKI account of representation, which offers a complex kind of representation involving an interplay of, denotation, exemplification, keying up of properties, and imputation. Throughout we focus on material models, and we illustrate our claims with the (...) Phillips-Newlyn machine. In the conclusion we suggest that, mutatis mutandis, the DEKI account can be carried over to other kinds of models, notably fictional and mathematical models. (shrink)

An important contemporary version of Boltzmannian statistical mechanics explains the approach to equilibrium in terms of typicality. The problem with this approach is that it comes in different versions, which are, however, not recognized as such and not clearly distinguished. This article identifies three different versions of typicality‐based explanations of thermodynamic‐like behavior and evaluates their respective successes. The conclusion is that the first two are unsuccessful because they fail to take the system's dynamics into account. The third, however, is promising. (...) I give a precise formulation of the proposal and present an argument in support of its central contention. †To contact the author, please write to: Department of Philosophy, Logic, and Scientific Method, London School of Economics, Houghton Street, London WC2A 2AE, England; e‐mail: [email protected]. (shrink)

On the face of it ‘deterministic chance’ is an oxymoron: either an event is chancy or deterministic, but not both. Nevertheless, the world is rife with events that seem to be exactly that: chancy and deterministic at once. Simple gambling devices like coins and dice are cases in point. On the one hand they are governed by deterministic laws – the laws of classical mechanics – and hence given the initial condition of, say, a coin toss it is determined whether (...) it will land heads or tails.2 On the other hand, we commonly assign probabilities to the different outcomes a coin toss, and doing so has proven successful in guiding our actions. The same dilemma also emerges in less mundane contexts. Classical statistical mechanics (which is still an important part of modern physics) assigns probabilities to the occurrence of certain events – for instance to the spreading of a gas that is originally confined to the left half of a container – but at the same time assumes that the relevant systems are deterministic. How can this apparent conflict be resolved? (shrink)

Computer simulations are an exciting tool that plays important roles in many scientific disciplines. This has attracted the attention of a number of philosophers of science. The main tenor in this literature is that computer simulations not only constitute interesting and powerful new science, but that they also raise a host of new philosophical issues. The protagonists in this debate claim no less than that simulations call into question our philosophical understanding of scientific ontology, the epistemology and semantics of models (...) and theories, and the relation between experimentation and theorising, and submit that simulations demand a fundamentally new philosophy of science in many respects. The aim of this paper is to critically evaluate these claims. Our conclusion will be sober. We argue that these claims are overblown and that simulations, far from demanding a new metaphysics, epistemology, semantics and methodology, raise few if any new philosophical problems. The philosophical problems that do come up in connection with simulations are not specific to simulations and most of them are variants of problems that have been discussed in other contexts before. (shrink)

The United Kingdom Climate Impacts Programme’s UKCP09 project makes high-resolution projections of the climate out to 2100 by post-processing the outputs of a large-scale global climate model. The aim of this paper is to describe and analyse the methodology used and then urge some caution. Given the acknowledged systematic, shared errors of all current climate models, treating model outputs as decision-relevant projections can be significantly misleading. In extrapolatory situations, such as projections of future climate change, there is little reason to (...) expect that post-processing of model outputs can correct for the consequences of such errors. This casts doubt on our ability, today, to make trustworthy probabilistic projections at high resolution out to the end of the century. (shrink)

A gas prepared in a non-equilibrium state will approach equilibrium and stay there. An influential contemporary approach to Statistical Mechanics explains this behaviour in terms of typicality. However, this explanation has been criticised as mysterious as long as no connection with the dynamics of the system is established. We take this criticism as our point of departure. Our central claim is that Hamiltonians of gases which are epsilon-ergodic are typical with respect to the Whitney topology. Because equilibrium states are typical, (...) we argue that there follows the desired conclusion that typical initial conditions approach equilibrium and stay there. (shrink)

This study examines whether corporate social responsibility performance is associated with corporate tax avoidance. Employing a matched sample of 434 firm-year observations from the Kinder, Lydenberg, and Domini database over the period 2003–2009, our logit regression results show that the higher the level of CSR performance of a firm, the lower the likelihood of tax avoidance. Our results indicate that more socially responsible firms are likely to display less tax avoidance. Finally, the results from our additional analysis show that the (...) CSR categories community relations and diversity represent particularly important elements of CSR performance that reduce tax avoidance. (shrink)

In two recent papers Barry Loewer (2001, 2004) has suggested to interpret probabilities in statistical mechanics as Humean chances in David Lewis’ (1994) sense. I first give a precise formulation of this proposal, then raise two fundamental objections, and finally conclude that these can be overcome only at the price of interpreting these probabilities epistemically.

On an influential account, chaos is explained in terms of random behaviour; and random behaviour in turn is explained in terms of having positive Kolmogorov-Sinai entropy (KSE). Though intuitively plausible, the association of the KSE with random behaviour needs justification since the definition of the KSE does not make reference to any notion that is connected to randomness. I provide this justification for the case of Hamiltonian systems by proving that the KSE is equivalent to a generalized version of Shannon's (...) communication-theoretic entropy under certain plausible assumptions. I then discuss consequences of this equivalence for randomness in chaotic dynamical systems. Introduction Elements of dynamical systems theory Entropy in communication theory Entropy in dynamical systems theory Comparison with other accounts Product versus process randomness. (shrink)

Aimed at graduate students, research logicians and mathematicians, this much-awaited text covers over 40 years of work on relative classification theory for nonstandard models of arithmetic. The book covers basic isomorphism invariants: families of type realized in a model, lattices of elementary substructures and automorphism groups.

While e-commerce has witnessed extensive growth in recent years, so has consumers' concerns regarding ethical issues surrounding online shopping. The vast majority of earlier research on this area is conceptual in nature, and limited in scope by focusing on consumers' privacy issues. This study develops a reliable and valid scale to measure consumers' perceptions regarding the ethics of online retailers. Findings indicate that the four factors of the scale - security, privacy, non-deception and fulfillment/reliability - are strongly predictive of online (...) consumers' satisfaction and trust. The results offer important implications for e-retailers and are likely to stimulate further research in the area of e-ethics from the consumers' perspective. (shrink)

Gibbsian statistical mechanics (GSM) is the most widely used version of statistical mechanics among working physicists. Yet a closer look at GSM reveals that it is unclear what the theory actually says and how it bears on experimental practice. The root cause of the difficulties is the status of the Averaging Principle, the proposition that what we observe in an experiment is the ensemble average of a phase function. We review different stances toward this principle, and eventually present a coherent (...) interpretation of GSM that provides an account of the status and scope of the principle. (shrink)

In a recent paper, Jie Gao (Synthese 194:1901–17, 2017) has argued that there are acceptance-based counterexamples to the knowledge norm for practical reasoning (KPR). KPR tells us that we may only rely on known propositions in practical reasoning, yet there are cases of practical reasoning in which we seem to permissibly rely on merely accepted propositions, which fail to constitute knowledge. In this paper, I will argue that such cases pose no threat to a more broadly conceived knowledge-based view of (...) practical reasoning. I will first motivate the view that rational acceptance depends on a knowledge-based condition being met. I will then show how KPR can be amended—yielding what I call KPR+—to include this condition. I will argue that KPR+ not only avoids Gao’s counterexample, but harbours additional explanatory power by providing an account of the normative role of acceptance in practical reasoning. Finally, I will defend KPR+ against objections by employing theoretical tools that are readily available to those sympathetic to knowledge-based views. (shrink)

Scientific discourse is rife with passages that appear to be ordinary descriptions of systems of interest in a particular discipline. Equally, the pages of textbooks and journals are filled with discussions of the properties and the behavior of those systems. Students of mechanics investigate at length the dynamical properties of a system consisting of two or three spinning spheres with homogenous mass distributions gravitationally interacting only with each other. Population biologists study the evolution of one species procreating at a constant (...) rate in an isolated ecosystem. And when studying the exchange of goods, economists consider a situation in which there are only two goods, two perfectly rational agents, no restrictions on available information, no transaction costs, no money, and dealings are done immediately. Their surface structure notwithstanding, no competent scientist would mistake descriptions of such systems as descriptions of an actual system: we know very well that there are no such systems. These descriptions are descriptions of a model-system, and scientists use model-systems to represent parts or aspects of the world they are interested in. Following common practice, I refer to those parts or aspects as target-systems. What are we to make of this? Is discourse about such models merely a picturesque and ultimately dispensable façon de parler? This was the view of some early twentieth century philosophers. Duhem (1906) famously guarded against confusing model building with scientific theorizing and argued that model building has no real place in science, beyond a minor heuristic role. The aim of science was, instead, to construct theories, with theories understood as classificatory or representative structures systematically presented and formulated in precise symbolic.. (shrink)

In two recent papers Barry Loewer (2001, 2004) has suggested to interpret probabilities in statistical mechanics as Humean chances in David Lewis’ (1994) sense. I first give a precise formulation of this proposal, then raise two fundamental objections, and finally conclude that these can be overcome only at the price of interpreting these probabilities epistemically.

The paper is aimed at studying the topological dimension for sets definable in weakly o-minimal structures in order to prepare background for further investigation of groups, group actions and fields definable in the weakly o-minimal context. We prove that the topological dimension of a set definable in a weakly o-minimal structure is invariant under definable injective maps, strengthening an analogous result from [2] for sets and functions definable in models of weakly o-minimal theories. We pay special attention to large subsets (...) of Cartesian products of definable sets, showing that if X, Y and S are non-empty definable sets and S is a large subset of X × Y, then for a large set of tuples $\langle \overline{a}_{1},\ldots,\overline{a}_{2^{k}}\rangle \in X^{2^{k}}$ , where k = dim(Y), the union of fibers $S_{\overline{a}_{1}}\cup \cdots \cup S_{\overline{a}_{2^{k}}}$ is large in Y. Finally, given a weakly o-minimal structure ������, we find various conditions equivalent to the fact that the topological dimension in ������ enjoys the addition property. (shrink)

The goal of this paper is twofold. First, it examines the pragmatic ramifications of recent research in certain areas of cognitive science (embodied mind theory, extended mind theory). Second, it shows how the Chicago pragmatists (George H. Mead, John Dewey) not only envisioned these findings but also how, within certain strains of cognitive science, their work is explicitly appreciated for important preliminary insights which help us interpret the outcomes of current research. The argumentative line of the paper revolves around Mead’s (...) and Dewey’s treatment of the relation between perception and action. Cognition, in the view of the Chicago pragmatists, is not divisible into atomistic, ontologically disconnected units but rather should be seen as an organic circuit within which stimuli and responses are mutually interdependent phases of an ongoing goal-directed active involvement of the organism in the environmental structures. According to Mead and Dewey, as well as the presently burgeoning branch of cognitive science called the “extended mind theory,” cognition is not something that takes place exclusively in our heads but should be rather seen as an objective relation between organism and the environment. On the background of Mead’s theory of the act (with its four stages – impulse, perception, manipulation, and consummation) the author points to certain surprising similarities between the pragmatists’ treatment of the notion of cognition and ideas recently suggested by defenders of the extended mind theory. (shrink)

Ethical concerns of Internet users continue to rise. Accordingly, several scholars have called for systematic empirical research to address these issues. This study examines the conceptualization and measurement of consumers' perceptions regarding the ethics of online retailers. Also, this research represents a first step into the analysis of the relationship between CPEOR, consumers' general Internet expertise and reported positive word of mouth. Results, from a convenience sample of 357 online shoppers, suggest that CPEOR can be operationalized as a second-order construct (...) composed of four dimensions: security, privacy, fulfillment, and non-deception. Our findings also indicate that consumers' general Internet expertise significantly improves CPEOR and CPEOR are strongly predictive of consumers' WOM. Managerial and research implications are offered. (shrink)

This study investigates the negative influence of consumer’s perceptions of online retailer’s deceptive practices on consumer’s relational variables. Also, the moderating role of product type, consumer’s attitude toward the Internet, and consumer’s demographics in the deception-relational outcomes link is considered. Data from 398 online consumers revealed that satisfaction totally mediated the influence of deception on loyalty. Furthermore, the deception-satisfaction link was moderated by all the hypothesized variables. Interestingly, a direct effect of deception on loyalty was found among more educated consumers, (...) consumers who had a more positive attitude toward the Internet and consumers who had purchased a physical product. Implications for theory and management are discussed. (shrink)

That we may rely on our knowledge seems like a platitude. Yet, the view that knowledge is sufficient for permissible reliance faces a major challenge: when much hangs on whether we know, relying on our knowledge seems to license irrational action. Unfortunately, extant proposals to meet this challenge (Hawthorne & Stanley, 2008; Williamson, 2005a; Schulz, 2017, 2021b) either fail to make the correct predictions about high-stakes cases or, as I will argue, face a substantial objection. In this paper, I will (...) offer two novel proposals for defending the sufficiency of knowledge for permissible reliance. My favoured proposal, which I call Flexible Fallibilism, is based on the idea that stakes can affect how we rely on our knowledge and how our knowledge determines what is rational for us to do. Besides making the correct predictions about high-stakes cases, I will argue that Flexible Fallibilism also provides us with a knowledge-based account of when to simplify our practical reasoning. Afterwards, I will present another proposal, which I call Dual Infallibilism, that combines two recent claims by Moss (2013, 2018) and Jackson (2019a) about credal knowledge and the metaphysics of doxastic states. While the offered proposals share various virtues, I will argue that we ultimately should prefer Flexible Fallibilism. (shrink)

Let us begin with a characteristic example. Consider a gas that is confined to the left half of a box. Now we remove the barrier separating the two halves of the box. As a result, the gas quickly disperses, and it continues to do so until it homogeneously fills the entire box. This is illustrated in Figure 1.

Aicardi et al. look to neuroscience to mitigate the limitations of current robotics technology. They propose that robotics technology guided by neuroscience has the capacity to create intelligent robots that function with awareness and capacity for abstraction and reasoning. As neurorobotics extends the capability of robotics technology, it introduces new social and ethical concerns, in particular co-opting civilian applications for military use, conflicts between industry and the academy, and data security. However, here we argue that empirical evidence has shown that (...) human cognition is faulty; therefore there is not a clear motivation to build intelligent robots on a human model; representation of meaning in the brain is not well-understood; therefore neuro-robotics is limited; and to the extent that intelligent robots become a reality, the ethics of robot rights will be of central concern. (shrink)

In this paper, we examine the meta-ontology of AI systems with human-level intelligence, with us denoting such AI systems as AI E. Meta-ontology in philosophy is a discourse centered on ontology, ontological commitment, and the truth condition of ontological theories. We therefore discuss how meta-ontology is conceptualized for AI E systems. We posit that the meta-ontology of AI E systems is not concerned with computational representations of reality in the form of structures, data constructs, or computational concepts, while the ontological (...) commitment of AI E systems is directed toward what exists in the outside world. Furthermore, the truth condition of the ontology (which is meta-ontological assumption) of AI E systems does not require consistency with closed conceptual schema or ontological theories but rather with reality, or in other words, “what is the world” (Smith, 2019, p.57). In addition, the truth condition of AI E systems is verified through operational success rather than by coherence with theories. This work builds on ontological postulates about AI systems that were formulated by Brian Cantwell Smith (2019). (shrink)

Deliberation issues in decision, and so might be taken as a paradigmatic volitional activity. Character, on the other hand, may appear pre-volitional: the dispositions that constitute it provide the background against which decisions are made. Bernard Williams offers an intriguing picture of how the two may be connected via the concept of practical necessities, which are at once constitutive of character and deliverances of deliberation. Necessities are thus the glue binding character and the will, allowing us to take responsibility for (...) our characters. Intriguing though the picture may be, it did not receive a thorough elaboration in Williams’s work. My aim here is to work out and defend what I take to be the most valuable aspect of Williams’s view of agency: its model of the way character and the will can jointly determine agency through mutual constitution. However, I argue that Williams’s attempt to use this model to ground his attack on Kantian morality does not succeed, because the primacy Williams accords to character over the will cannot yield the appropriate kind of normative authority, even from the perspective of the agent. I urge that we retain Williams’s model of the interaction between character and the will, modified to allow the will an authority that is not derived from the necessity of character. (shrink)

There are many ontologies of the world or of specific phenomena such as time, matter, space, and quantum mechanics1. However, ontologies of information are rather rare. One of the reasons behind this is that information is most frequently associated with communication and computing, and not with ‘the furniture of the world’. But what would be the nature of an ontology of information? For it to be of significant import it should be amenable to formalization in a logico-grammatical formalism. A candidate (...) ontology satisfying such a requirement can be found in some of the ideas of K. Turek, presented in this paper. Turek outlines the ontology of information conceived of as a part of nature, and provides the ‘missing link’ to the Z axiomatic set theory, offering a proposal for developing a formal ontology of information both in its philosophical and logicogrammatical representations. (shrink)

The stereotype content model defines warmth and competence as basic dimensions of social judgment, with warmth often dominating perceptions; it also states that many group-related stereotypes are ambivalent, featuring high levels on one dimension and low levels on the other. Persuasion theories feature both direct and indirect source effects. Combining both the approaches, we studied the persuasiveness of ambivalently stereotyped sources. Participants read persuasive arguments attributed to groups stereotyped as either low in competence but high in warmth or vice versa. (...) In Study 1, high competence/low warmth sources were more persuasive than low competence/high warmth sources. In Study 2, this pattern replicated when an accuracy motive had been induced, whereas it reversed when a connectedness motive had been induced. These source effects were direct, that is, independent of message processing. We discuss our findings in terms of the persuasiveness of warmth vs. competence of the source as being dependent on recipient motivation; we also consider theoretical implications and perspectives for future research. (shrink)