I explore a challenge that idealisations pose to scientific realism and argue that the realist can best accommodate idealisations by capitalising on certain modal features of idealised models that are underwritten by laws of nature.

This paper adds to the philosophical literature on mechanistic explanation by elaborating two related explanatory functions of idealisation in mechanistic models. The first function involves explaining the presence of structural/organizational features of mechanisms by reference to their role as difference-makers for performance requirements. The second involves tracking counterfactual dependency relations between features of mechanisms and features of mechanistic explanandum phenomena. To make these functions salient, we relate our discussion to an exemplar from systems biological research on the mechanism for (...) countering heat shock—the heat shock response system—in Escherichia coli bacteria. This research also reinforces a more general lesson: ontic constraint accounts in the literature on mechanistic explanation provide insufficiently informative normative appraisals of mechanistic models. We close by outlining an alternative view on the explanatory norms governing mechanistic representation. (shrink)

Michael Strevens’s book Depth is a great achievement.1 To say anything interesting, useful and true about explanation requires taking on fundamental issues in the metaphysics and epistemology of science. So this book not only tells us a lot about scientific explanation, it has a lot to say about causation, lawhood, probability and the relation between the physical and the special sciences. It should be read by anyone interested in any of those questions, which includes presumably the vast majority of readers (...) of this journal. One of its many virtues is that it lets us see more clearly what questions about explanation, causation, lawhood and so on need answering, and frames those questions in perspicuous ways. I’m going to focus on one of these questions, what I’ll call the Goldilocks problem. As it turns out, I’m not going to agree with all the details of Strevens’s answer to this problem, though I suspect that something like his answer is right. At least, I hope something like his answer is right; if it isn’t, I’m not sure where else we can look. (shrink)

Intuitively, science progresses from truth to truth. A glance at history quickly reveals that this idea is mistaken. We often learn from scientific theories that turned out to be false. This chapter focuses on a different challenge: Idealisations are deliberately and ubiquitously used in science. Scientists thus work with assumptions that are known to be false. Any account of scientific progress needs to account for this widely accepted scientific practice. It is examined how the four dominant accounts—the problem-solving account, the (...) truthlikeness account, the epistemic account, and the noetic account—can cope with the challenge from idealisation, with an eye on indispensable idealisations. One upshot is that, on all accounts, idealisations can promote progress. Only some accounts allow them to constitute progress. (shrink)

As with terms such as “human rights”, “democracy”, and “equality”, the notion of “freedom” has an emblematic character with highly normative overtones. After the declaration of universal human rights, one might argue that freedom is – at least formally – a universal entitlement belonging to every human being. However, this universalist structure is built upon a conflictual foundation, as the juridico-political meaning of freedom is determined by the boundaries of national citizenship, statehood, and territorial sovereignty. This chapter examines refugeehood as (...) a normal by-product of the post-colonial world order, embodying the counter-history of nation-states whose internal borders, walls, and external fortifications are growingly being militarised and reinforced. Refugeehood represents an anomalous juridico-political condition that cannot be elucidated by colonial-racial binaries such as inclusion versus exclusion or rightlessness versus national citizenship. The central idea of this chapter is that, for refugees, the meaning of freedom and unfreedom are intertwined and should be approached as a dynamic relationship characterising the state of (non)-subjectivity. As political (non)-subjects, refugees call structural determinations of unfreedom into question. Refugees’ freedom is expressed in the act of flight and border crossing, irregular migratory movement, language games of resistance, and other emancipatory signifying practices by which they claim a place of refuge in the world. (shrink)

Research in pharmacogenomics and precision medicine has recently introduced the concept of Polygenic Scores (PGSs), namely, indexes that aggregate the effects that many genetic variants are predicted to have on individual disease risk. The popularity of PGSs is increasing rapidly, but surprisingly little attention has been paid to the idealisations they make about phenotypic development. Indeed, PGSs rely on quantitative genetics models and methods, which involve considerable theoretical assumptions that have been questioned on various grounds. This comes with epistemological and (...) ethical concerns about the use of PGSs in clinical decision-making. In this paper, I investigate to what extent idealisations in genetics models can impact the data gathering and clinical interpretation of genomics findings, particularly the calculation and predictive accuracy of PGSs. Although idealisations are considered ineliminable components of scientific models, they may be legitimate or not depending on the epistemic aims of a model. I thus analyse how various idealisations have been introduced in classical models and progressively readapted throughout the history of genetic theorising. Notably, this process involved important changes in the epistemic purpose of such idealisations, which raises the question of whether they are legitimate in the context of contemporary genomics. (shrink)

"Semantic dispositionalism" is the theory that a speaker's meaning something by a given linguistic symbol is determined by her dispositions to use the symbol in a certain way. According to an objection by Kripke, further elaborated in Kusch :156–163, 2005), semantic dispositionalism involves ceteris paribus-clauses and idealisations, such as unbounded memory, that deviate from standard scientific methodology. I argue that Kusch misrepresents both ceteris paribus-laws and idealisation, neither of which factually "approximate" the behaviour of agents or the course of (...) events, but, rather, identify and isolate nature's component parts and processes. An analysis of current results in cognitive psychology vindicates the idealisations involved and certain counterfactual assumptions in science generally. In particular, results suggest that there can be causal continuity between the dispositional structure of actual objects and that of highly idealised objects. I conclude by suggesting that we can assimilate ceteris paribus-laws with disposition ascriptions insofar as they involve identical idealising assumptions. (shrink)

The paper deals with the methodological clash between idealism and anti-idealism in political philosophy, and highlights its importance for public reason (PR) and public justification (PJ) theorising. Upon reviewing the broader context which harks back to Rawls’s notion of a realistic utopia, we focus on two major recent contributions to the debate in the work of David Estlund (the prototypical utopian) and Gerald Gaus (the cautious anti-utopian). While Estlund presents a powerful case on behalf of ideal theorising, claiming that motivational (...) incapacity and other non-ideal features of “human nature” – the so-called bad facts – do not normally refute the desirability of highly utopian theories of justice, we show that Gaus is correct in stressing the importance of feasibility considerations, including empirical knowledge about human societies. Because moral disagreement is to be expected even among cognitively and morally excellent reasoners, we argue that Estlund’s search for Truth about justice must idealise away normative diversity as just another bad fact. This methodological dispute has important ramifications for current debates about PR and PJ as the grounds of liberal legitimacy. Because consensual approaches rely on strong idealisation which results in exclusion of numerous comprehensive doctrines from consideration, we conclude that convergence-based liberal political theory has distinct advantage as regards exploiting normative diversity to the advantage of everyone. (shrink)

For various historical, political as well as economic reasons, the English language is favoured as the universal language of science over other languages including French and German (Tardy, 2004). This naturally entails that students who are conversant in English have an advantage over those who are not in the acquisition of scientific knowledge. In relation to this, research on the misunderstanding of scientific terms in different languages shows that students who are speakers of non-western languages in particular face difficulties in (...) conceptualising scientific concepts. There is evidence to suggest that these students’ pre-existing knowledge about scientific terms and the polysemous nature of such terms are factors that influence their conceptualisation of the terms. This finding is the motivation behind the present cognitive linguistic study of the term temperature and its equivalent in Arabic, the compound دَرَجَةُ الحَرَارَة (darajatu al-ḥarara). Using a cognitive framework, namely Lakoff’s Idealised Cognitive Models (ICMs), the study analyses the conceptual similarities as well as differences between the terms. The study also analyses the English term heat as the second free morpheme of the compound دَرَجَةُ الحَرَارَة is الحَرَارَة which is the Arabic rendering of heat. The meanings and different uses of the terms are examined to analyse the ICMs that are evoked in each language. The results of the analysis reveal that the ICMs of English and Arabic terms under study overlap, and interestingly, also differ. (shrink)

The present article focuses on the conceptual structures of two Arabic words which are used in both everyday life and science: كَهْرَبَاء (kahrabāʾ) (electricity) and ضَوْء (ḍawʾ) (light). Under a cognitive linguistics approach, the polysemy of these terms, revealed in the citations extracted from ArabiCorpus, is studied. More specifically, the analysis of the terms involves the polysemy or ‘radial category’ along with its prototypical and peripheral meanings, and the main factors in projecting the idealised cognitive models (ICMs) where the radial (...) categories are formed: conceptual metaphor and conceptual metonymy. The results indicate that power and knowledge motivate the conceptualisations that underpin the categories كَهْرَبَاء (kahrabāʾ) (electricity) and ضَوْء (ḍawʾ) (light) respectively. Using such non-scientific conception in understanding the scientific senses of these terms leads to students’ confusion and failure to understand them. To ensure that students construe the scientific concepts correctly, they must be mindful of the inconsistency between their non-scientific and scientific meanings. (shrink)

It is often argued that the indispensability of continuum models comes from their empirical adequacy despite their decoupling from the microscopic details of the modelled physical system. There is thus a commonly held misconception that temperature varying across a region of space or time can always be accurately represented as a continuous function. We discuss three inter-related cases of temperature modelling — in phase transitions, thermal boundary resistance and slip flows — and show that the continuum view is fallacious on (...) the ground that the microscopic details of a physical system are not necessarily decoupled from continuum models. We show how temperature discontinuities are present in both data (experiments and simulations) and phenomena (theory and models) and how discontinuum models of temperature variation may have greater empirical adequacy and explanatory power. The conclusions of our paper are: a) continuum idealisations are not indispensable to modelling physical phenomena and both continuous and discontinuous representations of phenomena work depending on the context; b) temperature is not necessarily a continuously defined function in our best scientific representations of the world; and c) that its continuity, where applicable, is a contingent matter. We also raise a question as to whether discontinuous representations should be considered truly de-idealised descriptions of physical phenomena. (shrink)

This paper addresses the issue of finite versus countable additivity in Bayesian probability and decision theory -- in particular, Savage's theory of subjective expected utility and personal probability. I show that Savage's reason for not requiring countable additivity in his theory is inconclusive. The assessment leads to an analysis of various highly idealised assumptions commonly adopted in Bayesian theory, where I argue that a healthy dose of, what I call, conceptual realism is often helpful in understanding the interpretational value of (...) sophisticated mathematical structures employed in applied sciences like decision theory. In the last part, I introduce countable additivity into Savage's theory and explore some technical properties in relation to other axioms of the system. (shrink)

This dissertation examines aspects of the interplay between computing and scientific practice. The appropriate foundational framework for such an endeavour is rather real computability than the classical computability theory. This is so because physical sciences, engineering, and applied mathematics mostly employ functions defined in continuous domains. But, contrary to the case of computation over natural numbers, there is no universally accepted framework for real computation; rather, there are two incompatible approaches --computable analysis and BSS model--, both claiming to formalise algorithmic (...) computation and to offer foundations for scientific computing. -/- The dissertation consists of three parts. In the first part, we examine what notion of 'algorithmic computation' underlies each approach and how it is respectively formalised. It is argued that the very existence of the two rival frameworks indicates that 'algorithm' is not one unique concept in mathematics, but it is used in more than one way. We test this hypothesis for consistency with mathematical practice as well as with key foundational works that aim to define the term. As a result, new connections between certain subfields of mathematics and computer science are drawn, and a distinction between 'algorithms' and 'effective procedures' is proposed. -/- In the second part, we focus on the second goal of the two rival approaches to real computation; namely, to provide foundations for scientific computing. We examine both frameworks in detail, what idealisations they employ, and how they relate to floating-point arithmetic systems used in real computers. We explore limitations and advantages of both frameworks, and answer questions about which one is preferable for computational modelling and which one for addressing general computability issues. -/- In the third part, analog computing and its relation to analogue (physical) modelling in science are investigated. Based on some paradigmatic cases of the former, a certain view about the nature of computation is defended, and the indispensable role of representation in it is emphasized and accounted for. We also propose a novel account of the distinction between analog and digital computation and, based on it, we compare analog computational modelling to physical modelling. It is concluded that the two practices, despite their apparent similarities, are orthogonal. (shrink)

Sterelny (2003) develops an idealised natural history of folk-psychological kinds. He argues that belief-like states are natural elaborations of simpler control systems, called detection systems, which map directly from environmental cue to response. Belief-like states exhibit robust tracking (sensitivity to multiple environmental states), and response breadth (occasioning a wider range of behaviours). The development of robust tracking and response-breadth depend partly on properties of the informational environment. In a transparent environment the functional relevance of states of the world is directly (...) detectable. Outside transparent environments, selection can favour decoupled representations. Sterelny maintains that these arguments do not generalise to desire. Unlike the external environment, the internal processes of an organism, he argues, are selected for transparency. Parts of a single organism gain nothing from deceiving one another, but gain significantly from accurate signalling of their states and needs. Key conditions favouring the development of belief-like states are therefore absent in the case of desires. Here I argue that Sterelny’s reasons for saying that his treatment of belief does not generalise to motivation (desires, or preferences) are insufficient. There are limits to the transparency that internal environments can achieve. Even if there were not, tracking the motivational salience of external states suggests possible gains for systematic tracking of outcome values in any system in which selection has driven the production of belief-like states. (shrink)

“Probably Peirce’s best-known works are the first two articles in a series of six that originally were collectively entitled Illustrations of the Logic of Science and published in Popular Science Monthly from November 1877 through August 1878. The first is entitled ‘The Fixation of Belief’ and the second is entitled ‘How to Make Our Ideas Clear.’ In the first of these papers Peirce defended, in a manner consistent with not accepting naive realism, the superiority of the scientific method over other (...) methods of overcoming doubt and ‘fixing belief.’” — Robert Burch, “Charles Sanders Peirce,” entry in the Stanford Encyclopedia of Philosophy (2021 revision) -/- “Pragmatist epistemologies often explore how we can carry out inquiries in a self-controlled and fruitful way. (Where much analytic epistemology centres around the concept of knowledge, considered as an idealised end-point of human thought, pragmatist epistemology centres around the concept of inquiry, considered as the process of knowledge-seeking and how we can improve it.) So pragmatists often provide rich accounts of the capacities or virtues that we must possess in order to inquire well, and the rules or guiding principles that we should adopt. A canonical account is Peirce’s classic early paper ‘The Fixation of Belief‘. Here Peirce states that inquiry is a struggle to replace doubt with “settled belief“, and that the only method of inquiry that can make sense of the fact that at least some of us are disturbed by inconsistent beliefs, and will subsequently reflect upon which methods of fixing belief are correct is the Method of Science, which draws on the Pragmatic Maxim described above. This contrasts with three other methods of fixing belief: i) refusing to consider evidence contrary to one’s favored beliefs (the Method of Tenacity), ii) accepting an institution’s dictates (the Method of Authority), iii) developing the most rationally coherent or elegant-seeming belief-set (the A Priori Method).“ — Catherine Legg, “Pragmatism,” entry in the Stanford Encyclopedia of Philosophy (2021 revision). (shrink)

The tendency to idealise artificial intelligence as independent from human manipulators, combined with the growing ontological entanglement of humans and digital machines, has created an “anthrobotic” horizon, in which data analytics, statistics and probabilities throw our agential power into question. How can we avoid the consequences of a reified definition of intelligence as universal operation becoming imposed upon our destinies? It is here argued that the fantasised autonomy of automated intelligence presents a contradistinctive opportunity for philosophical consciousness to understand itself (...) anew as holistic and co-creative, beyond the recent “analytic” moment of the history of philosophy. Here we introduce the concept of “crealectic intelligence”, a meta-analytic and meta-dialectic aspect of consciousness. Intelligent behaviour may consist in distinguishing discrete familiar parts or reproducible functions in the midst of noise via an analytic process of segmentation; intelligence may also manifest itself in the constitution of larger wholes and dynamic unities through a dialectic process of association or assemblage. But, by contrast, crealectic intelligence co-creates realities in the image of an ideal or truth, taking into account the desiring agent imbued with a sense of possibility, in a relationship not only with the Real but also with the creative sublime or “Creal”. (shrink)

This is a paper about the methodology of normative ethics. I claim that much work in normative ethics can be interpreted as modelling, the form of inquiry familiar from science, involving idealised representations. I begin with the anti-theory debate in ethics, and note that the debate utilises the vocabulary of scientific theories without recognising the role models play in science. I characterise modelling, and show that work with these characteristics is common in ethics. This establishes the plausibility of my interpretation. (...) Taking methodological inspiration from modelling in science gives us new tools for managing idealisations, and a new perspective on pluralism. I demonstrate why this interpretation is a fruitful way of interpreting ethics, by looking at three case studies. First, I return to the anti-theory debate and argue that modelling opens up a new middle ground. Second, I argue that a modelling lens offers a new way of understanding impossibility theorems in population ethics, and their bearing on ethics as a whole. Finally, I show how viewing our work as modelling can be deployed in debates within ethics, using the debate over prioritarianism as an example. I close with further methodological suggestions for those who choose to see themselves as modellers. I discuss the role of counterexamples, our responses to moral disagreement, and the training of new ethicists. (shrink)

Following Nancy Cartwright and others, I suggest that most (if not all) theories incorporate, or depend on, one or more idealizing assumptions. I then argue that such theories ought to be regimented as counterfactuals, the antecedents of which are simplifying assumptions. If this account of the logic form of theories is granted, then a serious problem arises for Bayesians concerning the prior probabilities of theories that have counterfactual form. If no such probabilities can be assigned, the the posterior probabilities will (...) be undefined, as the latter are defined in terms of the former. I argue here that the most plausible attempts to address the problem of probabilities of conditionals fail to help Bayesians, and, hence, that Bayesians are faced with a new problem. In so far as these proposed solutions fail, I argue that Bayesians must give up Bayesianism or accept the counterintuitive view that no theories that incorporate any idealizations have ever really been confirmed to any extent whatsoever. Moreover, as it appears that the latter horn of this dilemma is highly implausible, we are left with the conclusion that Bayesianism should be rejected, at least as it stands. (shrink)

I argue that normative formal epistemology (NFE) is best understood as modelling, in the sense that this is the reconstruction of its methodology on which NFE is doing best. I focus on Bayesianism and show that it has the characteristics of modelling. But modelling is a scientific enterprise, while NFE is normative. I thus develop an account of normative models on which they are idealised representations put to normative purposes. Normative assumptions, such as the transitivity of comparative credence, are characterised (...) as modelling idealisations motivated normatively. I then survey the landscape of methodological options: what might formal epistemologists be up to? I argue the choice is essentially binary: modelling or theorising. If NFE is theorising it is doing very poorly: generating false claims with no clear methodology for separating out what is to be taken seriously. Modelling, by contrast, is a successful methodology precisely suited to the management of useful falsehoods. Regarding NFE as modelling is not costless, however. First, our normative inferences are less direct and are muddied by the presence of descriptive idealisations. Second, our models are purpose-specific and limited in their scope. I close with suggestions for how to adapt our practice. (shrink)

Epistemologists often appeal to the idea that a normative theory must provide useful, usable, guidance to argue for one normative epistemology over another. I argue that this is a mistake. Guidance considerations have no role to play in theory choice in epistemology. I show how this has implications for debates about the possibility and scope of epistemic dilemmas, the legitimacy of idealisation in Bayesian epistemology, uniqueness versus permissivism, sharp versus mushy credences, and internalism versus externalism.

The practice of scientific modelling often resorts to hypothetical, false, idealised, targetless, partial, generalised, and other types of modelling that appear to have at least partially non-actual targets. In this paper, I will argue that we can avoid a commitment to non-actual targets by sketching a framework where models are understood as having networks of possibilities as their targets. This raises a further question: what are the truthmakers for the modal claims that we can derive from models? I propose that (...) we can find truthmakers for the modal claims derived from models in actuality, even in the case of supposedly non-actual targets. I then put this framework to use by examining a case study concerning the modelling of superheavy elements. (shrink)

The standard representation theorem for expected utility theory tells us that if a subject’s preferences conform to certain axioms, then she can be represented as maximising her expected utility given a particular set of credences and utilities—and, moreover, that having those credences and utilities is the only way that she could be maximising her expected utility. However, the kinds of agents these theorems seem apt to tell us anything about are highly idealised, being always probabilistically coherent with infinitely precise degrees (...) of belief and full knowledge of all a priori truths. Ordinary subjects do not look very rational when compared to the kinds of agents usually talked about in decision theory. In this paper, I will develop an expected utility representation theorem aimed at the representation of those who are neither probabilistically coherent, logically omniscient, nor expected utility maximisers across the board—that is, agents who are frequently irrational. The agents in question may be deductively fallible, have incoherent credences, limited representational capacities, and fail to maximise expected utility for all but a limited class of gambles. (shrink)

Technological determinism, as a position on the nature and effects of technology/technologies can be divided into optimistic and critical forms. The optimistic variety, of which contemporary cyber-utopianism is an instance, holds that the development of technology shapes or at least facilitates ameliorative alterations in society. The critical variety, on the other hand, tends to problematise or condemn the positive narrative of technological impact on human existence. Whilst the optimistic form still retains some academic credibility, especially concerning digital technologies, the critical (...) variety tends to be viewed as reductionist, essentialist and pessimistic. Furthermore, the fact that many of its leading proponents base their critiques on the analysis of industrial technology, reinforces the impression that critical technological determinism is outdated. I argue that focussing on the specific forms of technology analysed by classic technological determinists is to miss the key point of their arguments. Critical determinism warns that with the increasing integration of technology into everyday life, we run the risk of idealising technological organisation and making sociotechnical relations a model for all social relations. Drawing upon Rendueles’s (2017) analysis of the sociophobic tendencies of the online public sphere, I argue for the continuing relevance of so-called ‘Classic’ technological determinism. The danger posed by the ubiquity of the internet on this account is not that it possesses some innate quality that imposes a particular social pattern on humanity, but that the way in which we interact in cyberspace becomes the norm for social relations outside the cybersphere. (shrink)

We propose a formal framework for interpretable machine learning. Combining elements from statistical learning, causal interventionism, and decision theory, we design an idealised explanation game in which players collaborate to find the best explanation for a given algorithmic prediction. Through an iterative procedure of questions and answers, the players establish a three-dimensional Pareto frontier that describes the optimal trade-offs between explanatory accuracy, simplicity, and relevance. Multiple rounds are played at different levels of abstraction, allowing the players to explore overlapping causal (...) patterns of variable granularity and scope. We characterise the conditions under which such a game is almost surely guaranteed to converge on a optimal explanation surface in polynomial time, and highlight obstacles that will tend to prevent the players from advancing beyond certain explanatory thresholds. The game serves a descriptive and a normative function, establishing a conceptual space in which to analyse and compare existing proposals, as well as design new and improved solutions. (shrink)

In some cultures, people tend to believe that it is very important to be sexually exclusive in romantic relationships and idealise monogamous romantic relationships; but there is a tension in this ideal. Sex is generally considered to have value, and usually when we love someone we want to increase the amount of value in their lives, not restrict it without good reason. There is thus a call, not yet adequately responded to by philosophers, for greater clarity in the reasons §why (...) it might be reasonable for a couple to adopt a policy of sexual exclusivity. This article argues that we cannot justify the demand for sexual exclusivity by a need to protect the relationship from the risk of one partner ‘trading-up’, or by appealing to jealousy. However, sexual exclusivity can be intelligible if it supports the romantic relationship and helps to distinguish it from other relationships. Nonetheless, sexual exclusivity ought not to be the hegemonic social norm that it currently is in some societies because this diminishes the potential value it might have and gives the idea of faithfulness the wrong focus. (shrink)

Scientific progress is a hot topic in the philosophy of science. However, as yet we lack a comprehensive philosophical examination of scientific progress. First, the recent debate pays too much attention to the epistemic approach and the semantic approach. Shan’s new functional approach and Dellsén’s noetic approach are still insufficiently assessed. Second, there is little in-depth analysis of the progress in the history of the sciences. Third, many related philosophical issues are still to be explored. For example, what are the (...) implications of scientific progress for the scientific realism/antirealism debate? Is the incommensurability thesis a challenge to scientific progress? What role does aesthetic values play in scientific progress? Does idealisation impede scientific progress? This book fills this gap. It offers a new assessment of the four main approaches to scientific progress (Part I). It also features eight historical case studies to investigate the notion of progress in different disciplines: physics, chemistry, evolutionary biology, seismology, psychology, sociology, economics, and medicine respectively (Part II). It discusses some issues related to scientific progress: scientific realism, incommensurability, values in science, idealisation, scientific speculation, interdisciplinarity, and scientific perspectivalism (Part III). (shrink)

This article considers attempts to include the issues of ageing and ill health in a Rawlsian framework. It first considers Norman Daniels’ Prudential Lifespan Account, which reduces intergenerational questions to issues of intrapersonal prudence from behind a Rawslian veil of ignorance. This approach faces several problems of idealisation, including those raised by Hugh Lazenby, because it must assume that everyone will live to the same age, undermining its status as a prudential calculation. I then assess Lazenby's account, which applies (...) Rawls’ general theory of justice more directly to healthcare. Lazenby suggests that we should apply Rawls’ difference principle – which claims that any inequalities in social goods must benefit the worst off – to conclude that we should significantly prioritise treatment of young patients. I argue first that the existence of young terminally ill patients undermines a number of Rawlsian arguments for the difference principle. I then argue that the structure of ageing undermines the Rawlsian decision mechanism of the ‘veil of ignorance’ on which Lazenby relies. I conclude that age and terminal illness present significant problems for any comprehensive Rawlsian account of justice. (shrink)

Marr’s seminal distinction between computational, algorithmic, and implementational levels of analysis has inspired research in cognitive science for more than 30 years. According to a widely-used paradigm, the modelling of cognitive processes should mainly operate on the computational level and be targeted at the idealised competence, rather than the actual performance of cognisers in a specific domain. In this paper, we explore how this paradigm can be adopted and revised to understand mathematical problem solving. The computational-level approach applies methods from (...) computational complexity theory and focuses on optimal strategies for completing cognitive tasks. However, human cognitive capacities in mathematical problem solving are essentially characterised by processes that are computationally sub-optimal, because they initially add to the computational complexity of the solutions. Yet, these solutions can be optimal for human cognisers given the acquisition and enactment of mathematical practices. Here we present diagrams and the spatial manipulation of symbols as two examples of problem solving strategies that can be computationally sub-optimal but humanly optimal. These aspects need to be taken into account when analysing competence in mathematical problem solving. Empirically informed considerations on enculturation can help identify, explore, and model the cognitive processes involved in problem solving tasks. The enculturation account of mathematical problem solving strongly suggests that computational-level analyses need to be complemented by considerations on the algorithmic and implementational levels. The emerging research strategy can help develop algorithms that model what we call enculturated cognitive optimality in an empirically plausible and ecologically valid way. (shrink)

It is increasingly common for philosophers to rely on the notion of an idealised listener when explaining how the semantic values of context-sensitive expressions are determined. Some have identified the semantic values of such expressions, as used on particular occasions, with whatever an appropriately idealised listener would take them to be. Others have argued that, for something to count as the semantic value, an appropriately idealised listener should be able to recover it. Our aim here is to explore the range (...) of ways that such idealisation might be worked out, and then to argue that none of these results in a very plausible theory. We conclude by reflecting on what this negative result reveals about the nature of meaning and responsibility. (shrink)

I think Tongdong Bai's Confucian Meritocracy requires a lot of idealisation. Feasibility aside, should we realise the conditions for Confucian Meritocracy to work, we would have created the ideal situation for democracy to function properly. This challenges the purported advantages Confucian Meritocracy enjoys over democracy.

Based on three recently published books on climate justice, this article reviews the field of climate ethics in light of developments of international climate politics. The central problem addressed is how idealised normative theories can be relevant to the political process of negotiating a just distribution of the costs and benefits of mitigating climate change. I distinguish three possible responses, that is, three kinds of non-ideal theories of climate justice: focused on (1) the injustice of some agents not doing their (...) part; (2) the policy process and aiming to be realistic; and (3) grievances related to the transition to a clean-energy economy. The methodological discussion underpinning each response is innovative and should be of interest more generally, even though it is still underdeveloped. The practical upshot, however, is unclear: even non-ideal climate justice may be too disconnected from the fast-moving and messy climate circus. (shrink)

One of the philosophical discussions stimulated by the recent scientific study of psychopathy concerns the mental illness status of this construct. This paper contributes to this debate by recommending a way of approaching the problem at issue. By relying on and integrating the seminal work of the philosopher of psychiatry Bill Fulford, I argue that a mental illness is a harmful unified construct that involves failures of ordinary doing. Central to the present proposal is the idea that the notion of (...) failure of ordinary doing, besides the first personal experience of the patient, has to be spelled out also by referring to a normative account of idealised conditions of agency. This account would have to state in particular the conditions which are required for moral responsibility. I maintain that psychopathy is a unified enough construct that involves some harms. The question whether the condition involves also a failure of ordinary doing, as this notion is understood in this paper, is not investigated here. (shrink)

The notion of understanding occupies an increasingly prominent place in contemporary epistemology, philosophy of science, and moral theory. A central and ongoing debate about the nature of understanding is how it relates to the truth. In a series of influential contributions, Catherine Elgin has used a variety of familiar motivations for antirealism in philosophy of science to defend a non- factive theory of understanding. Key to her position are: (i) the fact that false theories can contribute to the upwards trajectory (...) of scientific understanding, and (ii) the essential role of inaccurate idealisations in scientific research. Using Elgin’s arguments as a foil, I show that a strictly factive theory of understanding has resources with which to offer a unified response to both the problem of idealisations and the role of false theories in the upwards trajectory of scientific understanding. Hence, strictly factive theories of understanding are viable notwithstanding these forceful criticisms. (shrink)

Studies on difficulties in understanding scientific terms have shown that the problem is more serious among non-Western learners. The main reasons for this are the learners' pre-existing knowledge of scientific terms, their native language incommensurability with Western languages, and the polysemy of the words used to denote scientific concepts. The current study is an analysis of the conceptualisation of scientific concepts in two culturally different languages, i.e. Arabic and French, which represent a non-Western language and a Western language respectively. Physics (...) concepts which are considered as some of the most challenging concepts for non-Western languages (Loo 2005; Aranador 2005) were selected for analysis. To this end, the terms that refer to two physics concepts, "weight" and "mass" in Arabic وَزْن (wazn) and كُتْلَة (kutla) and in French poids and masse were semantically analysed. The analysis of the concepts in both languages is informed by the prototype theory by Rosch (1973; 1975), idealised cognitive models (ICMs) by Lakoff (1987), and conceptual metaphor and conceptual metonymy by Lakoff and Johnson (2003). The data for analysis were retrieved from two comparable Arabic and French corpora, namely the ArabiCorpus and the Concordancier-Corpus Français. The results suggest that there are both similarities and differences between the Arabic and French concepts in terms of meanings, prototypes, and metaphorical as well as metonymic semantic extensions. These findings support the argument that the human conceptual system is related to our environmental and cultural experiences and also importantly, validate previous claims on the need for educators to be cognizant of the culturally relevant meanings of scientific words found in everyday language that may impede learners' understanding of scientific concepts. (shrink)

Today professionals have to deal with more uncertainties in their field than before. We live in complex and rapidly changing environments. The British philosopher Ronald Barnett adds the term ‘supercomplexity’ to highlight the fact that ‘we can no longer be sure how even to describe the world that faces us’ (Barnett, 2004). Uncertainty is, nevertheless, not a highly appreciated notion. An obvious response to uncertainty is to reduce it—or even better, to wipe it away. The assumption of this approach is (...) that uncertainty has no advantages. This assumption is, however, not correct as several contemporary authors have argued. Rather than problematising uncertainty, I will investigate the pros and cons of embedding uncertainty in educational practice of professional higher education. In order to thoroughly explore the probabilities and challenges that uncertainty poses in education, I will dwell on the radical ideas on uncertainty of the German philosopher Friedrich Nietzsche. In The Birth of Tragedy (1872) he recognises two forces: the Apollinian, that is the pursuit of order and coherence, and the Dionysian, that is the human tendency to nullify all systematisation and idealisation. Uncertainty is part of the Dionysian. I will argue that when educators take Nietzsche's plea to make room for the Dionysian to heart, they can better prepare students for an uncertain world. If, and only if, students are encouraged to deploy both tendencies—the Apollinian and the Dionysian—they can become professionals who are able to stand their ground in an uncertain and changing (professional) world. (shrink)

The pandemic significantly raised the stakes for the translation of bioethics insights into policy. The novelty, range and sheer quantity of the ethical problems that needed to be addressed urgently within public policy were unprecedented and required high‐bandwidth two‐way transfer of insights between academic bioethics and policy. Countries such as the United Kingdom, which do not have a National Ethics Committee, faced particular challenges in how to facilitate this. This paper takes as a case study the brief career of the (...) Ethics Advisory Board (EAB) for the NHS Covid‐19 App, which shows both the difficulty and the political complexity of policy‐relevant bioethics in a pandemic and how this was exacerbated by the transience and informality of the structures through which ethics advice was delivered. It analyses how and why, after EAB's demise, the Westminster government increasingly sought to either take its ethics advice in private or to evade ethical scrutiny of its policies altogether. In reflecting on EAB, and these later ethics advice contexts, the article provides a novel framework for analysing ethics advice within democracies, defining four idealised stances: the pure ethicist, the advocate, the ethics arbiter and the critical friend. (shrink)

What question are decision theorists trying to answer, and why is it worth trying to answer it? A lot of philosophers talk as if the aim of decision theory is to describe how we should make decisions, and the reason to do this is to help us make better decisions. I disagree on both fronts. The aim of the decision theory is to describe how a certain kind of idealised decider does in fact decide. And the reason to do this (...) is that this idealisation, like many other idealisations, helps generate explanations of real-world behaviour. We shouldn't do what these ideal deciders do, or try to be more like them, because a lot of what they do only makes sense because of the differences between us and them. Still, sometimes those differences are small enough that they can be ignored in explanations, and that's when decision theory is useful. (shrink)

USKALI MÄKI (Helsinki, 1951) is a philosopher of science and a social scientist, and one of the forerunners of the strong wave of research on the philosophy and methodology of economics that has been expanding during the last three decades. His research interests and academic contributions cover many topics in the philosophy of economics, such as realism and realisticness, idealisation, scientific modelling, causation, explanation, rhetoric, the sociology and economics of economics, and the foundations of new institutional and Austrian economics. (...) He is a coeditor of The handbook of economic methodology (1998); Economics and methodology: crossing boundaries (1998); Rationality, institutions and economic methodology (1993). And the editor of two compilations of essays that have become highly influential to the shaping of the field: The economic world view: studies in the ontology of economics (2001), and Fact and fiction in economics: realism, models, and social construction (2002). (shrink)

This paper explores the question of what logic is not. It argues against the wide spread assumptions that logic is: a model of reason; a model of correct reason; the laws of thought, or indeed is related to reason at all such that the essential nature of the two are crucially or essentially co-illustrative. I note that due to such assumptions, our current understanding of the nature of logic itself is thoroughly entangled with the nature of reason. I show that (...) most arguments for the presence of any sort of essential re- lationship between logic and reason face intractable problems and demands, and fall well short of addressing them. These arguments include those for the notion that logic is normative for reason (or that logic and correct reason are in some way the same thing), that logic is some sort of description of correct reason and that logic is an abstracted or idealised version of correct reason. A strong version of logical realism is put forward as an alternative view, and is briefly explored. (shrink)

Most philosophical accounts of scientific models assume that models represent some aspect, or some theory, of reality. They also assume that interpretation plays only a supporting role. This paper challenges both assumptions. It proposes that models can be used in science to interpret reality. (a) I distinguish these interpretative models from representational ones. They find new meanings in a target system’s behaviour, rather than fit its parts together. They are built through idealisation, abstraction and recontextualisation. (b) To show how (...) interpretative models work, I offer a case study on the scientific controversy over foetal pain. It highlights how pain scientists use conflicting models to interpret the human foetus and its behaviour, and thereby to support opposing claims about whether the foetus can feel pain. (c) I raise a sceptical worry and a methodological challenge for interpretative models. To address the latter, I use my case study to compare how interpretative and representational models ought to be evaluated. (shrink)

Mentalities like scientism and relativism idealise or belittle science respectively, and thus hurt science education and our literacy. However, it seems very hard to avoid the former mentality without sliding to the latter, and vise versa. I will suggest that part of what makes balancing between the two so difficult, is a representational account of meaning that science educators, like most of us really, usually endorse. Scientism then, arises from the assumption that ​there is such a thing called science​. Relativism, (...) on the other hand, assumes that ​there is no such thing called science,t​hereisnorealmeaningattachedtotheterm​.Wittgenstein'sremarksonrule-following then, could help us escape this twofold danger. Addressing scientism, Wittgensteinian writings remind us that, in order to understand the sciences, we do not need to point to some mental referendum of what science is. We rather need to grasp a matrix of overlapping, often implicit, always evolving rules that govern scientific practices. Addressing relativism, Wittgenstein's comments help us realise that there are always certain criteria about what kinds of things we call by a name; there are rules governing scientific practices, rules that even though they may be context dependent or evolving, are always in play. (shrink)

In this paper I distinguish three kinds of kinds: traditional philosophical kinds such as truth, knowledge, and causation; natural science kinds such as spin, charge and mass; and social kinds such as class, poverty, and marriage. The three-fold taxonomy I work with represents an idealised abstraction from the wide variety of kinds that there are and the messy phenomena that underlie them. However, the kinds I identify are discrete, and the three-fold taxonomy is useful when it comes to understanding claims (...) about the normativity, scope, and implementation of conceptual engineering. In particular it reveals: first, that conceptual engineering in a broad sense is not distinctively normative; but second, that there is a distinctive normativity present in conceptual engineering in the narrow sense of amelioration; third, that conceptual engineering in the narrow sense of amelioration is only possible for terms that refer to kinds whose grounds we can change; and fourth, that the amelioration of such kind terms can be brought about as a result of changing the grounds of those kinds. The overall aim is to draw attention to the differences between kinds of kinds to make sense of the diverse and often conflicting claims in the conceptual engineering literature, both from its proponents and from its detractors. The hope is that paying attention to the differences between kinds of kinds will provide a better understanding of the landscape. (shrink)

What is special about the philosophy of history when the history is about science? I shall focus on an impasse between two perspectives — one seeking an ideal of rationality to guide scientific practices, and one stressing the contingency of the practices. They disagree on what this contingency means for scientific norms. Their impasse underlies some fractious relations within History and Philosophy of Science. Since the late 1960s, this interdisciplinary field has been described, variously, as an “intimate relationship or marriage (...) of convenience”, a “marriage for the sake of reason”, a “troubling interaction ”, a “precarious relationship”, or one at risk of “ epistemological derangement”. -/- My paper has three aims. First, I characterise two idealised perspectives in this impasse: the sublimers and subversives. Then I describe a curious dynamic in which each perspective accuses the other of, simultaneously, claiming too little and too much. Subliming is dismissed for being scholastic, and condemned for being imperialist. Subverting is disparaged for being merely sociological, then criticised for being irrational or relativist. Here I draw on and extend the analyses of science studies in Kitcher, Zammito and others. Second, I argue that sublimers and subversives often talk past each other. Their mutual dismissals and condemnations arise partly because each perspective misconstrues the other’s claims. Each fails to see that the other is interested in different problems and interprets concepts differently. Third, I suggest that my analysis clarifies some current disagreements and old debates about contingency in science. It may also apply to debates on the contingency of norms in non- scientific realms. (shrink)

Corporate disclosure and reporting of information has become synonymous with transparency which in discourses idealising its value is part of the rhetoric of good governance. This notion is overtly conveyed in principles and codes of corporate governance practice which have proliferated globally over the last three decades. The possibility for transparency to conceal more than is revealed is considered with regard to corporate communication of information, with the consequence that power and real knowledge of the corporate behavioural agenda remains in (...) corporate hands. Philosophically, the paradoxical and unintended outcome is that corporations are constrained by the norm of transparency in developing authentic moral behaviour, while also exercising power and control since in the information society transparency does not, and indeed cannot, lead to revealing all. Transparency places greater emphasis on judging, or evaluating existing organisational processes than on assessment of (self-)learning processes based on what actually takes place when corporations make decisions. (shrink)

There has been a growing trend to include non-causal models in accounts of scientific explanation. A worry addressed in this paper is that without a higher threshold for explanation there are no tools for distinguishing between models that provide genuine explanations and those that provide merely potential explanations. To remedy this, a condition is introduced that extends a veridicality requirement to models that are empirically underdetermined, highly-idealised, or otherwise non-causal. This condition is applied to models of electroweak symmetry breaking beyond (...) the Standard Model. (shrink)

Debates around the state-firm analogy as a route to justifying workplace democracy tend towards a static view of both state and firm, and position workplace democracy as the objective. We contend, however, that states and firms are connected to one another in ways that should alter the terms of the debate, and that the achievement of workplace democracy raises a new set of political issues about the demos in the democratic firm and ‘worker migration’ at the boundaries of the firm. (...) Our argument thus contains two key steps: First, drawing on an empirical case study of a worker-owned firm, we enrich the state-firm analogy by developing a more dynamic view of both, focussing on the creation of workplace democracies; worker movement in and out of them; the dynamic meanings of ‘citizenship’ within them; and the status of the unemployed in a world of democratic workplaces. We then argue that in moving to a more sociological view of the state, the things we were comparing begin to show their real-world connections to one another. By going beyond the idealised view of states that has distorted the state-firm analogy debates, we arrive at a more robust view of how widespread workplace democracy might reconfigure basic political relationships in society. (shrink)

Consensus in the contemporary philosophical literature has it that conserved quantity theories of causation such as that of Dowe [2000]—according to which causation is to be analysed in terms of the exchange of conserved quantities (e.g., energy)—face damning problems when confronted with contemporary physics, where the notion of conservation becomes delicate. In particular, in general relativity it is often claimed that there simply are no conservation laws for (say) total-stress energy. If this claim is correct, it is difficult to see (...) how conserved quantity theories of causation could survive. In this article, we resist the above consensus and defend conserved quantity theories from this conclusion, at least when focusing on the apparent problems posed by general relativity. We argue that this approach to causation can continue to be defended in general relativity, once one appreciates (a) the availability of approximate symmetries in generic general relativistic spacetimes, and (b) the role of modelling and idealisation in that theory. Given these points, conserved quantity theories of causation must stand or fall on other grounds. (shrink)

In his critical notice entitled ‘An Improved Whole Life Satisfaction Theory of Happiness?’ focusing on my article that was previously published in this journal, Fred Feldman raises an important objection to a suggestion I made about how to best formulate the whole life satisfaction theories of happiness. According to my proposal, happiness is a matter of whether an idealised version of you would judge that your actual life corresponds to the life-plan, which he or she has constructed for you on (...) the basis of your cares and concerns. Feldman argues that either the idealised version will include in the relevant life-plan only actions that are possible for you to do or he or she will also include actions and outcomes that are not available for you in the real world. He then uses examples to argue that both of these alternatives have implausible consequences. In response to this objection, I argue that what it is included in the relevant life-plan depends on what you most fundamentally desire and that this constraint is enough to deal with Feldman’s new cases. (shrink)

In this article, I criticize Véronique Zanetti on the topic of moral compromise. As I understand Zanetti, a compromise could only be called a “moral compromise” if (i) it does not originate under coercive conditions, (ii) it involves conflict whose subject matter is moral, and (iii) “the parties support the solution found for what they take to be moral reasons rather than strategic interests.” I offer three criticisms of Zanetti. First, Zanetti ignores how some parties may not have reason to (...) seek social peace at all. Zanetti’s claim that there is consensus on the aim of social peace can involve idealising away from disagreement in a manner that Zanetti accuses Rawls of. Second, even if there is consensus on the aim of seeking social peace, this leaves open the possibility of disagreement about which society different people should belong to. This idealises away from real world conflict concerning borders. Indeed, Zanetti does not mention that her ‘central example’ of moral disagreement, the German Abortion compromise, was enacted in the wake of German reunification. Third, there are at least two things that can be called the ‘German Abortion compromise.’ The compromise that Zanetti speaks of was imposed by the German Federal Constitutional Court. The court declared unconstitutional a law passed in 1992 that had been negotiated in parliament. Zanetti does not dwell on this lack of democratic credentials. Even the substance of the court-imposed solution is itself a dubious example of a moral compromise between parties based on what is acceptable to their reason. -/- (penultimate version - If you would like the .pdf of the final version for personal scholarly use, please contact me through the email address on my profile or my CV.). (shrink)