In this paper we argue for a naturalistic solution to some of the methodological controversies in regulatory science, on the basis of two case studies: toxicology and health claim regulation. We analyze the debates related to the scientific evidence that is considered necessary for regulatory decision making in each of those two fields, with a particular attention to the interactions between scientific and regulatory aspects. This analysis allows us to identify two general stances in the debate: a) one that argues (...) for more permissive standards of evidence and for methodological pluralism, and b) an opposing one that not only defends strict evidence requirements but also stipulates the use of one particular scientific methodologies for data generation. We argue that the real-world outcomes produced by alternative regulatory options are a vital piece of information that allows for the empirical assessment of these two stances. In particular, this information on outcomes makes it possible to analyze which standards of evidence and scientific methods generate the most useful knowledge as input for regulatory decision making. Our conclusion is that instead of an a priori selection of methodologies and standards, such decisions ought to be based on empirical evidence related to real-world outcomes. (shrink)

Regulatory science, which generates knowledge relevant for regulatory decision?making, is different from standard academic science in that it is oriented mainly towards the attainment of non?epistemic (practical) aims. The role of uncertainty and the limits to the relevance of academic science are being recognized more and more explicitly in regulatory decision?making. This has led to the introduction of regulation?specific scientific methodologies in order to generate decision?relevant data. However, recent practical experience with such non?standard methodologies indicates that they, too, may be (...) subject to important limitations. We argue that the attainment of non?epistemic values and aims (like the protection of human health and the environment) requires not only control of the quality of the data and the methodologies, but also the selection of the level of regulation deemed adequate in each specific case (including a decision about which of the two, under?regulation or over?regulation, would be more acceptable). (shrink)

Le débat sur le rôle des valeurs en science survient également dans les sciences appliquées, en particulier dans les sciences régulatives. Nous proposons une analyse, sous l’angle des valeurs, des controverses récentes sur le rôle de la connaissance scientifique dans la régulation des risques technologiques. Nous distinguons trois perspectives sur les valeurs cognitives et non-cognitives, dans le contexte de l’évaluation et de la gestion du risque. Notre analyse montre que les deux types de valeurs interagissent au sein du processus de (...) génération de connaissances dans les sciences régulatives, et que des propositions de changements méthodologiques dépendent de la reconnaissance explicite du rôle opérant des valeurs. Notre contribution indique que l’analyse philosophique des valeurs peut aider à clarifier les controverses actuelles sur les risques technologiques. (shrink)

Le débat sur le rôle des valeurs en science survient également dans les sciences appliquées, en particulier dans les sciences régulatives. Nous proposons une analyse, sous l’angle des valeurs, des controverses récentes sur le rôle de la connaissance scientifique dans la régulation des risques technologiques. Nous distinguons trois perspectives sur les valeurs cognitives et non-cognitives, dans le contexte de l’évaluation et de la gestion du risque. Notre analyse montre que les deux types de valeurs interagissent au sein du processus de (...) génération de connaissances dans les sciences régulatives, et que des propositions de changements méthodologiques dépendent de la reconnaissance explicite du rôle opérant des valeurs. Notre contribution indique que l’analyse philosophique des valeurs peut aider à clarifier les controverses actuelles sur les risques technologiques. (shrink)

The relevance of scientific knowledge for science and technology policy and regulation has led to a growing debate about the role of values. This article contributes to the clarification of what specific functions cognitive and noncognitive values adopt in knowledge generation and decisions, and what consequences the operation of values has for policy making and regulation. For our analysis, we differentiate between three different types of decision approaches, each of which shows a particular constellation of cognitive and noncognitive values. Our (...) objectives are to present a structured analysis of the varying functions that different kinds of values can adopt, as well as the value-related tensions and trade-offs they give rise to. We argue that the operation of noncognitive values in scientific knowledge generation, policy, and regulatory decision making can be understood as an enabling factor, rather than a limiting one. (shrink)

Mechanistic information is used in the field of risk assessment in order to clarify two controversial methodological issues, the selection of inference guides and the definition of standards of evidence. In this paper we present an analysis of the concept of mechanistic information in risk assessment by recurring to previous philosophical analyses of mechanistic explanation. Our conclusion is that the conceptual analysis of mechanistic explanation facilitates a better characterization of the concept of mechanistic information. However, it also shows that the (...) use of this kind of information in risk assessment is heavily influenced by pragmatic factors, which have not been sufficiently taken into account in philosophical analysis. Mechanistic models are like hypothesis that have to be validated empirically. Due to their dependence on the standards of evidence, they are subject to the same pragmatic factors. Therefore, recurring to mechanistic information does not lead to closure of the methodological controversies in risk assessment. (shrink)

En este trabajo analizamos una de las propuestas recientes que defienden modificaciones metodológicas en la evaluación de riesgos respecto a los estándares de prueba: el enfoque basado en el peso de las pruebas (weight of evidence). Este enfoque puede interpretarse como un caso de ciencia precautoria en la investigación sobre riesgos. Esto es, se trata de una metodología que pretende proporcionar resultados más protectores de la salud pública y del entorno que las metodologías usuales en la evaluación de riesgos. Sin (...) embargo, existe la posibilidad de que quienes se muestran en contra de la regulación de ciertas aplicaciones tecnológicas introduzcan artificialmente incertidumbre en el cuerpo de la evidencia. En consecuencia, la metodología del peso de las pruebas no conduce de manera automática a una mayor protección de la salud pública y del ambiente. Por ello es necesario analizar cada innovación valorando los posibles riesgos y los posibles beneficios sociales, y decidir en cada caso cuál de las dos posibilidades, la subregulación o la sobrerregulación, es más aceptable. El conocimiento científico es un elemento necesario para llevar a cabo esta valoración, pero no la determina.This paper analyzes one recent proposal for modifying the metodologies used in risk assessment: the Weight-Of-Evidence (WOE) approach. This approach is an example of precautionary science in risk research, i.e. a methodology which aims at a better protection of human health and the environment. However, some groups opposed to the regulation of certain technologies have started artificially introducing uncertainties into the body of evidence. This means that the WOE approach does not automatically lead to a higher level of health or environmental protection. It is therefore necessary to analyze each innovation on a case-by-case basis in order to evaluate its risks and benefits, and decide if to accept lower or, on the contrary, higher standards for its regulation. Scientific knowledge is a necessary element in this assessment, but not the decisive one. (shrink)

Is there such a thing as a “best scientific methodology” in regulatory science? By examining cases from varying regulatory processes, we argue that there is no best scientific method for generating decision-relevant data. In addition, in regulatory science, the most suitable methodologies often differ from what is considered best practice in knowledge-oriented science. In data generation for regulatory purposes, we are faced with a wide spectrum of preferred methodologies as well as controversy as to methodological choice. What goes by the (...) most adequate scientific method can and will—justifiably and rationally—vary significantly according to context and use. In order to make this argument, we analyze four case studies, two from risk assessment and two from benefit assessment. Our analysis shows that it is the noncognitive objectives of a particular regulatory process that determine what counts as the most appropriate scientific method. We use the concept of bounded rationality to indicate that those methodological choices, despite being context-dependent, can be interpreted as rational. (shrink)

En este trabajo analizamos una de las propuestas recientes que defienden modificaciones metodológicas en la evaluación de riesgos respecto a los estándares de prueba: el enfoque basado en el peso de las pruebas (weight of evidence). Este enfoque puede interpretarse como un caso de ciencia precautoria en la investigación sobre riesgos. Esto es, se trata de una metodología que pretende proporcionar resultados más protectores de la salud pública y del entorno que las metodologías usuales en la evaluación de riesgos. Sin (...) embargo, existe la posibilidad de que quienes se muestran en contra de la regulación de ciertas aplicaciones tecnológicas introduzcan artificialmente incertidumbre en el cuerpo de la evidencia. En consecuencia, la metodologia del peso de las pruebas no conduce de manera automática a una mayor protección de la salud pública y del ambiente. Por ello es necesario analizar cada innovación valorando los posibles riesgos y los posibles beneficios sociales, y decidir en cada caso cuál de las dos posibilidades, la subregulación o la sobrerregulación, es más aceptable. El conocimiento científico es un elemento necesario para llevar a cabo esta valoración, pero no la determina.This paper analyzes one recent proposal for modifying the metodologies used in risk assessment: the Weight-Of-Evidence (WOE) approach. This approach is an example of precautionary science in risk research, i.e. a methodology which aims at a better protection of human health and the environment. However, some groups opposed to the regulation of certain technologies have started artificially introducing uncertainties into the body of evidence. This means that the WOE approach does not automatically lead to a higher level of health or environmental protection. It is therefore necessary to analyze each innovation on a case-by-case basis in order to evaluateits risks and benefits, and decide if to accept lower or, on the contrary, higher standards for its regulation. Scientific knowledge is a necessary element in this assessment, but not the decisive one. (shrink)

The function and legitimacy of values in decision making is a critically important issue in the contemporary analysis of science. It is particularly relevant for some of the more application-oriented areas of science, specifically decision-oriented science in the field of regulation of technological risks. Our main objective in this paper is to assess the diversity of roles that non-cognitive values related to decision making can adopt in the kinds of scientific activity that underlie risk regulation. We start out, first, by (...) analyzing the issue of values with the help of a framework taken from the wider philosophical debate on science and values. Second, we study the principal conceptualizations used by scholars who have applied them to numerous case studies. Third, we appraise the links between those conceptualizations and learning processes in decision-oriented science. In this, we recur to the concept of methodological learning, i.e., learning about the best methodologies for generating knowledge that is useful for science-based regulatory decisions. The main result of our analysis is that non-cognitive values can contribute to methodological improvements in science in three principal ways: as basis for critical analysis, for contextualizing methodologies, and for establishing the burden of proof. (shrink)

The issue of internalism and externalism in historiography of science was intensely debated two decades ago. The conclusions of such debate on the ‘context of science’ appear to be a reinstatement of the positivist view of the ‘content of science’ as comprising only ideas and concepts uninfluenced by extra-scientific factors. The description of the roles of politics, economy, and socio-cultural factors in science was limited only within the ‘context of science’. This article seeks to resituate the ‘content of science’ debate (...) within the historical accounts of the Scientific Revolution to illustrate that their resort to historicism indicates that such content does not emerge from the void. It argues that, though some historicist accounts like Alexandre Koyré’s reinstate the positivist argument on the nature of the ‘content of science’, such historicist internalism greatly differs from positivist internalism, largely due to its acceptance of metaphysics in science. Therefore, as long as historicism is relied on to describe the content of science, a clear-cut distinction of the historicist internalism and externalism will be difficult to establish. (shrink)

En el primer capítulo de su libro Duchesneau aborda la cuestión de lo que es una especie, algo de difícil solución porque el de especie es un concepto de una potencia heurística inmensa y, a la vez, está lleno de agujeros que se hacen patentes en cuanto se pretende hilar fino para definirlo. Las alternativas entre la especie como grupo reproductivo -la "especie biológica"- y como secuencia evolutiva -la "especie filogenética"-, con sus respectivas precisiones internas, están bien planteadas por el (...) autor. También lo está la más reciente "especie ecológica", de talante adaptacionista. Duchesneau no pretende argumentar en favor de uno u otro concepto, sino indicar que existen, y de su postura aséptica se deduce que, probablemente, es imposible reducir ninguno de esos conceptos al otro. Pero esa conclusión tropieza de inmediato con el asunto que aborda Duchesneau en el epígrafe siguiente de su libro: la taxonomía. Porque en algo coinciden al menos quienes emplean especies biológicas, filogenéticas y ecológicas: en darles un nombre. No es raro, pues, que la sistemática sea en estos momentos una de las disciplinas que tenga más interrogantes por resolver. (shrink)

This paper argues for the theoretical and practical validity of similarity as a useful epistemological tool in scientific knowledge generation, specifically in chemistry. Classical analyses of similarity in philosophy of science do not account for the concept’s practical significance in scientific activities. We recur to examples from chemistry to counter the claim of authors like Quine or Goodman to the effect that similarity must be excluded from scientific practices . In conclusion we argue that more recent conceptualizations of the notion (...) of similarity, particularly Giere’s one, are appropriate for a philosophical analysis that considers scientific practices on equal terms with scientific theory. (shrink)

School tourism constitutes a source of learning to strengthen the cultural identity of students. The objective was to compare the development of school tourism in the educational institutions San Pedro Chanel and Carlos Augusto Salaverry. The Leiper space approach was used. The exhibition was constituted by 200 high school students and 20 teachers. The results show that there is statistically significant differences regarding the knowledge of the tourist resources of the province of Sullana. It was concluded that educational tourism is (...) a strategy that tries to bring the student closer to knowledge, awareness and assessment of tourist resources. (shrink)

In their recent book The Inessential Indexical Herman Cappelen and Josh Dever take issue with what has become close to philosophical orthodoxy – the view, most often associated with John Perry and David Lewis, that psychological explanations are essentially indexical. Cappelen and Dever claim that claims of essential indexicality are typically driven by intuitions rather than supported by arguments. They issue a challenge to supporters of essential indexicality: Produce an argument to back up the intuitions. This paper answers their (...) challenge. (shrink)

Reformulating a scientific theory often leads to a significantly different way of understanding the world. Nevertheless, accounts of both theoretical equivalence and scientific understanding have neglected this important aspect of scientific theorizing. This essay provides a positive account of how reformulation changes our understanding. My account simultaneously addresses a serious challenge facing existing accounts of scientific understanding. These accounts have failed to characterize understanding in a way that goes beyond the epistemology of scientific explanation. By focusing on cases in which (...) we have differences in understanding without differences in explanation, I show that understanding does not reduce to explanation. (shrink)

I want to join Dummett in saying that the reality of the past (and, by analogy, the reality of the future) is an issue of realism versus anti-realism: (Dummett 1969) If you affirm the reality of the past, you are a realist about the past. If you deny the reality of the past, you are an anti-realist about the past. (And likewise, in each case, for the future). It makes sense to think of these issues by analogy with realism about (...) the external world, unobservable objects, mathematical objects, universals, and so on. These are all properly described as ontological issues. (shrink)

If the former is the case, let us say that anti-reductionism about relational facts is true; if the latter, that reductionism about relational facts is true. Let us say that a fact is relational if it makes true some relational proposition (a proposition that asserts that a relation holds between some objects1), that it is irreducibly relational if, in addition, it does not make true any nonrelational propositions, and that it is monadic if it is not irreducibly relational (if it (...) makes true some proposition that does not assert that a relation holds between some objects). (shrink)

Initiatives relying on artificial intelligence (AI) to deliver socially beneficial outcomes—AI for social good (AI4SG)—are on the rise. However, existing attempts to understand and foster AI4SG initiatives have so far been limited by the lack of normative analyses and a shortage of empirical evidence. In this Perspective, we address these limitations by providing a definition of AI4SG and by advocating the use of the United Nations’ Sustainable Development Goals (SDGs) as a benchmark for tracing the scope and spread of AI4SG. (...) We introduce a database of AI4SG projects gathered using this benchmark, and discuss several key insights, including the extent to which different SDGs are being addressed. This analysis makes possible the identification of pressing problems that, if left unaddressed, risk hampering the effectiveness of AI4SG initiatives. (shrink)

In his Paris Reportatio John Duns Scotus challenges ordinary views of identity and distinction. I argue that Scotus affirms that there is more than one type of identity: some forms of identity are...

Is the ability to speak a language an acquired skill? Leading proponents of the generative approach to human language—notably Chomsky (2000) and Pinker (2003)—have argued that the thesis that language capacities are skills is hopelessly confused and at odds with a range of empirical evidence, which suggests that human language capacities are grounded in a biologically inherited set of language instincts or a Universal Grammar (UG). In this paper, we argue that resistance to the claim that human language capacities are (...) skills has been fostered by naïve and implausible conceptions of the nature of skilled action. Correcting these misconceptions about the nature of skilled action breathes new life into the old idea that human language competences are particular kinds of skills and does so in a way that is fully consistent with appeals to the central importance of UG, broadly construed. More generally, we argue that by taking human language capacities to be skills, we capture what is right about the generative program while at the same time avoiding its most serious pitfalls. (shrink)

Science frequently gives us multiple, compatible ways of solving the same problem or formulating the same theory. These compatible formulations change our understanding of the world, despite providing the same explanations. According to what I call "conceptualism," reformulations change our understanding by clarifying the epistemic structure of theories. I illustrate conceptualism by analyzing a typical example of symmetry-based reformulation in chemical physics. This case study poses a problem for "explanationism," the rival thesis that differences in understanding require ontic explanatory differences. (...) To defend conceptualism, I consider how prominent accounts of explanation might accommodate this case study. I argue that either they do not succeed, or they generate a skeptical challenge. (shrink)

We argue that Hamiltonian mechanics is more fundamental than Lagrangian mechanics. Our argument provides a non-metaphysical strategy for privileging one formulation of a theory over another: ceteris paribus, a more general formulation is more fundamental. We illustrate this criterion through a novel interpretation of classical mechanics, based on three physical conditions. Two of these conditions suffice for recovering Hamiltonian mechanics. A third condition is necessary for Lagrangian mechanics. Hence, Lagrangian systems are a proper subset of Hamiltonian systems. Finally, we provide (...) a geometric interpretation of the principle of stationary action and rebut arguments for privileging Lagrangian mechanics. (shrink)

Science and mathematics continually change in their tools, methods, and concepts. Many of these changes are not just modifications but progress---steps to be admired. But what constitutes progress? This dissertation addresses one central source of intellectual advancement in both disciplines: reformulating a problem-solving plan into a new, logically compatible one. For short, I call these cases of compatible problem-solving plans "reformulations." Two aspects of reformulations are puzzling. First, reformulating is often unnecessary. Given that we could already solve a problem using (...) an older formulation, what do we gain by reformulating? Second, some reformulations are genuinely trivial or insignificant. Merely replacing one symbol with another does not lead to intellectual progress. What distinguishes significant reformulations from trivial ones? According to what I call "conceptualism" (or "conceptual empiricism"), reformulations are intellectually significant when they provide a different plan for solving problems. Significant reformulations provide inferentially different routes to the same solution. In contrast, trivial reformulations provide exactly the same problem-solving plans, and hence they do not change our understanding. This answers the second question about what distinguishes trivial from significant reformulations. However, the first question remains: what makes a new way of solving an old problem valuable? Here, a bevy of practical considerations come to mind: one formulation might be faster, less complicated, or use more familiar concepts. According to "instrumentalism," these practical benefits are all there is to reformulating. Some reformulations are simply more instrumentally valuable for meeting the aims of science than others. At another extreme, "fundamentalism" contends that a reformulation is valuable when it provides a more fundamental description of reality. According to this view, some reformulations directly contribute to the metaphysical aim of carving reality at its joints. Conceptualism develops a middle ground between instrumentalism and fundamentalism, preserving their benefits without their costs. I argue that the epistemic value of significant reformulations does not reduce to either practical or metaphysical value. Reformulations are valuable because they are a constitutive part of problem-solving. Both science and mathematics aim at solving all possible problems within their respective domains. Meeting this aim requires being able to plan for any possible problem-solving context, and this requires reformulating. By reformulating, we clarify what we need to know to solve problems. Still, one might wonder whether the value of reformulations requires underlying differences in explanatory power. According to "explanationism," a reformulation is valuable only when it provides a better explanation. Explanationism stands as a rival middle ground position to my own. However, it faces numerous counterexamples. In many cases, two reformulations provide the same explanation while nonetheless providing different ways of understanding a phenomenon. Hence, reformulating can be valuable even when neither formulation is more explanatory. Methodologically, I draw on a variety of case studies to support my account of reformulation. These range from classical mechanics to quantum chemistry, along with examples from mathematics. Symmetry arguments provide a paradigmatic example: the mathematics of symmetry groups radically recasts quantum mechanics and quantum chemistry. Nevertheless, elementary approaches exist that eschew this additional mathematical apparatus, solving problems in a more tedious but less mathematically-demanding manner. Further examples include reformulations of quantum field theory, Arabic vs. Roman numerals, and Fermat's little theorem in number theory. In each case, my account identifies how reformulations change and improve our understanding of science and mathematics. (shrink)

In a series of papers, Donald Davidson :3–17, 1984, The philosophical grounds of rationality, 1986, Midwest Stud Philos 16:1–12, 1991) developed a powerful argument against the claim that linguistic conventions provide any explanatory purchase on an account of linguistic meaning and communication. This argument, as I shall develop it, turns on cases of what I call lexical innovation: cases in which a speaker uses a sentence containing a novel expression-meaning pair, but nevertheless successfully communicates her intended meaning to her audience. (...) I will argue that cases of lexical innovation motivate a dynamic conception of linguistic conventions according to which background linguistic conventions may be rapidly expanded to incorporate new word meanings or shifted to revise the meanings of words already in circulation. I argue that this dynamic account of conventions both resolves the problem raised by cases of lexical innovation and that it does so in a way that is preferable to those who—like Davidson—deny important explanatory roles for linguistic conventions. (shrink)

That AI will have a major impact on society is no longer in question. Current debate turns instead on how far this impact will be positive or negative, for whom, in which ways, in which places, and on what timescale. In order to frame these questions in a more substantive way, in this prolegomena we introduce what we consider the four core opportunities for society offered by the use of AI, four associated risks which could emerge from its overuse or (...) misuse, and the opportunity costs associated with its under use. We then offer a high-level view of the emerging advantages for organisations of taking an ethical approach to developing and deploying AI. Finally, we introduce a set of five principles which should guide the development and deployment of AI technologies. The development of laws, policies and best practices for seizing the opportunities and minimizing the risks posed by AI technologies would benefit from building on ethical frameworks such as the one offered here. (shrink)

This chapter has three sections. In the first, I give a brief summary of what Foucault means by "power-knowledge." In the second, I show how this concept can be used to analyze the situations of disabled adults in relation to complex institutions of benefits and employment in the United States. In the third, I argue that disabled adults are often subject to several types of epistemic injustice given these operations of power, including subjection to structural epistemic injustice and forms of (...) epistemic labor. (shrink)

In this article we analyse the role that artificial intelligence (AI) could play, and is playing, to combat global climate change. We identify two crucial opportunities that AI offers in this domain: it can help improve and expand current understanding of climate change and it contribute to combating the climate crisis effectively. However, the development of AI also raises two sets of problems when considering climate change: the possible exacerbation of social and ethical challenges already associated with AI, and the (...) contribution to climate change of the greenhouse gases emitted by training data and computation-intensive AI systems. We assess the carbon footprint of AI research, and the factors that influence AI’s greenhouse gas (GHG) emissions in this domain. We find that the carbon footprint of AI research may be significant and highlight the need for more evidence concerning the trade-off between the GHG emissions generated by AI research and the energy and resource efficiency gains that AI can offer. In light of our analysis, we argue that leveraging the opportunities offered by AI for global climate change whilst limiting its risks is a gambit which requires responsive, evidence-based and effective governance to become a winning strategy. We conclude by identifying the European Union as being especially well-placed to play a leading role in this policy response and provide 13 recommendations that are designed to identify and harness the opportunities of AI for combating climate change, while reducing its impact on the environment. (shrink)

Our ordinary assertions are often imprecise, insofar as the way we represent things as being only approximates how things are in the actual world. The phenomenon of assertoric imprecision raises a challenge to standard accounts of both the norm of assertion and the connection between semantics and the objects of assertion. After clarifying these problems in detail, I develop a framework for resolving them. Specifically, I argue that the phenomenon of assertoric imprecision motivates a rejection of the widely held belief (...) that a semantic theory for a language associates a single semantic value with each of the simple and complex expressions of that language, relative to the contexts in which they occur. Instead, I propose that we adopt a framework I call semantic pluralism. (shrink)

In this article, we analyse the role that artificial intelligence (AI) could play, and is playing, to combat global climate change. We identify two crucial opportunities that AI offers in this domain: it can help improve and expand current understanding of climate change, and it can contribute to combatting the climate crisis effectively. However, the development of AI also raises two sets of problems when considering climate change: the possible exacerbation of social and ethical challenges already associated with AI, and (...) the contribution to climate change of the greenhouse gases emitted by training data and computation-intensive AI systems. We assess the carbon footprint of AI research, and the factors that influence AI’s greenhouse gas (GHG) emissions in this domain. We find that the carbon footprint of AI research may be significant and highlight the need for more evidence concerning the trade-off between the GHG emissions generated by AI research and the energy and resource efficiency gains that AI can offer. In light of our analysis, we argue that leveraging the opportunities offered by AI for global climate change whilst limiting its risks is a gambit which requires responsive, evidence-based, and effective governance to become a winning strategy. We conclude by identifying the European Union as being especially well-placed to play a leading role in this policy response and provide 13 recommendations that are designed to identify and harness the opportunities of AI for combatting climate change, while reducing its impact on the environment. (shrink)

In this article, I develop an account of genius inspired by Kristeva’s writings on feminine genius in order to argue that certain ill and disabled people should be considered geniuses in the face of social conditions and medical practices that too often marginalize, restrict, and silence them. In contrast to Kristeva’s notion of feminine genius, which relies on an Oedipal developmental story, I argue that we should understand genius as (1) the intimate revolt of (2) a singular subject who (3) (...) occupies a marginalized social position and who, through their revolt, (4) creates a work. Conceiving of genius in this way, I contend, opens up the possibility of recognizing Kristevan genius from marginalized positions other than that of women while remaining true to Kristeva’s account of the intimate. Having developed this account, I offer an example by suggesting that Susan Wendell is one such genius. Finally, I move on to argue that, by taking Kristeva’s theory of the semiotic seriously, we may discover genius among those with “severe cognitive disabilities,” and discuss Eva Kittay’s daughter, Sesha, as an example. My hope is that this concept may help us be attentive to the singular accomplishments of those who face exclusion and silencing as a result of illness or disability. (shrink)

Accounts of scientific explanation disagree about what’s required for a cause, law, or other fact to be a reason why an event occurs. In short, they disagree about the conditions for explanatory relevance. Nonetheless, most accounts presuppose that claims about explanatory relevance play a descriptive role in tracking reality. By rejecting the need for this descriptivist assumption, I develop an expressivist account of explanatory relevance and explanation: to judge that an answer is explanatory is to express an attitude ofbeing for (...) being satisfied by that answer. I show how expressivism vindicates ordinary scientific discourse about explanation, including claims about the objectivity and mind-independence of explanations. By avoiding commitment to ontic relevance relations, I rehabilitate an irrealist conception of explanation. (shrink)

In this chapter, we analyze intellectual patience as a character trait. We look at the contexts that call for patience and at what patience demands in those contexts. Together these constitute our account of patience, though the focus is on patience in the life of the mind. We also consider how patience and perseverance differ, which offers a better understanding of the former and sheds light on how character traits can cooperate. We then consider how to become virtuously patient. We (...) conclude reflecting on some remarks made by the poet Rilke. (shrink)