Recent theoretical work on the psychology of categorization emphasizes the role cognitive constructs play in perception and categorization. This approach supports Putnam's rejection of metaphysical realism. However, the experimental findings concerning basic level categories, in particular, suggest that robust stabilitites among our systems of empirical concepts persist in the face of considerable theoretical diversity and change. These stabilities undermine Putnam's strongest negative conclusions concerning the correspondence theory of truth (once it is uncoupled from metaphysical realism). The centrality of a correspondence (...) criterion of truth (in a larger theory of truth) is psychologically inescapable, rationally indispensable, and (therefore) epistemologically fundamental. (shrink)

Some epistemologists think that the Bayesian ideals matter because we can approximate them. That is, our attitudes can be more or less close to the ones of our ideal Bayesian counterpart. In this paper, I raise a worry for this justification of epistemic ideals. The worry is this: In order to correctly compare agents to their ideal counterparts, we need to imagine idealized agents who have the same relevant information, knowledge, or evidence. However, there are cases in (...) which one’s ideal counterpart cannot have one’s information, knowledge, or evidence. In these situations, agents cannot compare themselves to their ideal counterpart. (shrink)

Several philosophers—including C. S. Peirce, William James, Hilary Putnam and Crispin Wright—have proposed various versions of the notion that truth is an epistemic ideal. More specifically, they have held that a proposition is true if and only if it can be fixedly warranted by human inquirers, given certain ideal epistemic conditions. This paper offers a general critique of that idea, modeling conceptions of ideality and fixed warrant within the semantics that Kripke developed for intuitionistic logic. It is shown (...) that each of the two plausible notions of fixed warrant faces difficulties and that, moreover, “truth” defined in terms of either of them is distressingly dependent upon one’s conception of idealized inquiry and perhaps also upon one’s standards of warrant. (shrink)

Arguing from inductive risk, Heather Douglas tried to show that the ideal of value-free science is completely unfounded. The argument has been widely acknowledged to be a strong argument against the ideal. In this paper, beginning with an analysis of the concept of an ideal, we argue that the value-free ideal is an epistemic ideal rather than a practical or ethical ideal. Then, we aim to show that the argument from inductive risk cannot be employed against the value-free ideal (...) as far as it is understood as an epistemic ideal. We try to show that the argument takes practical and ethical limitations of actual scientific enterprise into account to undermine the value-free ideal. But employing non-epistemic considerations makes the argument impotent against an epistemic ideal. (shrink)

After Certainty offers a reconstruction of the history of epistemology, understood as a series of changing expectations about the cognitive ideal that we might hope to achieve in this world. Pasnau ranges widely over philosophy from Aristotle to the 17th century, and examines in some detail the rise of science as an autonomous discipline.

This paper deals with the following questions: What features of modern natural science are responsible for the fact that, of all forms of science, this form is technologically exploitable? The three notions: concept of nature, epistemic ideal, and experiment, suggest the most important components of my answer. I will argue, first, that only the peculiar interplay of the modern concept of nature with an epistemic ideal attuned to it can cast experiment in the specific, highly central role it (...) plays in the pursuit of knowledge about nature. It will then become clear that the form of science in which experiment plays such a role will, necessarily, prove technologically exploitable. (shrink)

After Certainty: A History of Our Epistemic Ideals and Illusions, by PasnauRobert. New York, NY: Oxford University Press, 2017. Pp. 384.

Many criticisms of epistemic logic have centered around its use of devices such as idealized knowers with logical omniscience and perfect self-knowledge. One possible response to such criticisms is to say that these idealizations are normative devices, and that epistemic logic tells us how agents ought to behave. This paper will take a different approach, treating epistemic logic as descriptive, and drawing the analogy between its formal models and idealized scientific models on that basis. Treating it as (...) descriptive matches the way in which some philosophers, including one of its founders, Jaako Hintikka, have thought about epistemic logic early in its history. Further, the analogy between the two fields will give us a way to defuse criticisms that see epistemic logic as unrealistic. For example, criticizing models of epistemic logic in which agents know all propositional tautologies as being unrealistic would be like criticizing frictionless planes in physics for being unrealistic. Each one would certainly be an unsuitable model for studying some kinds of phenomena, but is entirely appropriate for others. After outlining the analogy between epistemic and scientific models, we will discuss some ways in which idealizations are used by different research programs in epistemic logic. (shrink)

In a possible world framework, an agent can be said to know a proposition just in case the proposition is true at all worlds that are epistemically possible for the agent. Roughly, a world is epistemically possible for an agent just in case the world is not ruled out by anything the agent knows. If a proposition is true at some epistemically possible world for an agent, the proposition is epistemically possible for the agent. If a proposition is true at (...) all epistemically possible worlds for an agent, the proposition is epistemically necessary for the agent, and as such, the agent knows the proposition. -/- This framework presupposes an underlying space of worlds that we can call epistemic space. Traditionally, worlds in epistemic space are identified with possible worlds, where possible worlds are the kinds of entities that at least verify all logical truths. If so, given that epistemic space consists solely of possible worlds, it follows that any world that may remain epistemically possible for an agent verifies all logical truths. As a result, all logical truths are epistemically necessary for any agent, and the corresponding framework only allows us to model logically omniscient agents. This is a well-known consequence of the standard possible world framework, and it is generally taken to imply that the framework cannot be used to model non-ideal agents that fall short of logical omniscience. -/- A familiar attempt to model non-ideal agents within a broadly world involving framework centers around the use of impossible worlds where the truths of logic can be false. As we shall see, if we admit impossible worlds where “anything goes” in epistemic space, it is easy to avoid logical omniscience. If any logical falsehood is true at some impossible world, then any logical falsehood may remain epistemically possible for some agent. As a result, we can use an impossible world involving framework to model extremely non-ideal agents that do not know any logical truths. -/- A much harder, and considerably less investigated challenge is to ensure that the resulting epistemic space can also be used to model moderately ideal agents that are not logically omniscient but nevertheless logically competent. Intuitively, while such agents may fail to rule out impossible worlds that verify complex logical falsehoods, they are nevertheless able to rule out impossible worlds that verify obvious logical falsehoods. To model such agents, we need a construction of a non-trivial epistemic space that partly consists of impossible worlds where not "anything goes". This involves imposing substantive constraints on impossible worlds to eliminate from epistemic space, say, trivially impossible worlds that verify obvious logical falsehoods. -/- The central aim of this dissertation is to investigate the nature of such non-trivially impossible worlds and the corresponding epistemic spaces. To flag my conclusions, I argue that successful constructions of epistemic spaces that can safely navigate between the Charybdis of logical omniscience and the Scylla of of “anything goes” are hard, if not impossible to find. (shrink)

Publics trust experts for personal and pro-social reasons. Scientists are among the experts publics trust most, and so, epistemic trust is routinely afforded to them. The call for epistemic trust to be more socially situated in order to account for the impact of science on society and public welfare is at the forefront of enhanced epistemic trust. I argue that the value-free ideal for science challenges establishing enhanced epistemic trust by preventing the inclusion of non-epistemic (...) values throughout the evaluation of evidence and communication of these values. By selectively silencing non-epistemic values, the ideal cannot take into account publics’ social and moral responses to inductive risk, which are instrumental for defining and determining public welfare. Furthermore, by emphasising epistemic values almost exclusively in science education and communication, the value-free ideal is presented to publics in such a way that it becomes a social indicator of trust. I show this through examination of the importance of values in decisions to trust, and conclude that values (and restrictions on them) can be used by lay publics to help decide which experts to trust. (shrink)

Disrespect for the truth, the rise of conspiracy thinking, and a pervasive distrust in experts are widespread features of the post-truth condition in current politics and public opinion. Among the many good explanations of these phenomena there is one that is only rarely discussed: that something is wrong with our deeply entrenched intellectual standards of (i) using our own critical thinking without any restriction and (ii) respecting the judgment of every rational agent as epistemically relevant. In this paper, I will (...) argue that these two enlightenment principles—the Principle of Unrestricted Critical Thinking and the Principle of Democratic Reason—not only conflict with what is rationally required from a purely epistemic point of view, but also have bad cognitive consequences in furthering the spread of conspiracy theories and undermining trust in experts. I will then explain in more detail why we should typically defer to experts without using any of our own reasons regarding the subject matter. Moreover, I will show what place this leaves for critical thinking and why it does not have the crazy consequences that the critics expect. (shrink)

This paper explores some of the constructive dimensions and specifics of human theoretic cognition, combining perspectives from (Husserlian) genetic phenomenology and distributed cognition approaches. I further consult recent psychological research concerning spatial and numerical cognition. The focus is on the nexus between the theoretic development of abstract, idealized geometrical and mathematical notions of space and the development and effective use of environmental cognitive support systems. In my discussion, I show that the evolution of the theoretic cognition of space apparently follows (...) two opposing, but in truth, intrinsically aligned trajectories. On the epistemic plane, which is the main focus of Husserl’s genetic phenomenological investigations, theoretic conceptions of space are progressively constituted by way of an idealizing emancipation of spatial cognition from the concrete, embodied intentionality underlying the human organism’s perception of space. As a result of this emancipation, it ultimately becomes possible for the human mind to theoretically conceive of and posit space as an ideal entity that is universally geometrical and mathematical. At the same time, by synthesizing a range of literature on spatial and mathematical cognition, I illustrate that for the theoretic mind to undertake precisely this emancipating process successfully, and further, for an ideal and objective notion of geometrical and mathematical space to first of all become fully scientifically operative, the cognitive support provided by a range of specific symbolic technologies is central. These include lettered diagrams, notation systems, and more generally, the technique of formalization and require for their functioning various cognitively efficacious types of embodiment. Ultimately, this paper endeavors to understand the specific symbolic-technological dimensions that have been instrumental to major shifts in the development of idealized, scientific conceptions of space. The epistemic characteristics of these shifts have been previously discussed in genetic phenomenology, but without devoting sufficient attention to the constructive role of symbolic technologies. At the same time, this paper identifies some of the irreducible phenomenological and epistemic dimensions that characterize the functioning of the historically situated, embodied and distributed theoretic mind. (shrink)

Book review: Alejandro Cassini & Juan Redmond (eds.), _Models and Idealizations in Science: Artifactual and Fictional Approaches_, Springer Iternational Publishing, Cham 2021, pp.xv+270.

There is a widespread opinion that the realist idea that whether a proposition is true or false typically depends on how things are independently of ourselves is bound to turn truth, in Davidson's words, into “something to which humans can never legitimately aspire”. This opinion accounts for the ongoing popularity of “epistemic” theories of truth, that is, of those theories that explain what it is for a proposition (or statement, or sentence, or what have you) to be true or (...) false in terms of some epistemic notion, such as provability, justifiability, verifiability, rational acceptability, warranted assertibility, and so forth, in some suitably characterized epistemic situation. My aim in this paper is to show that the widespread opinion is erroneous and that the (legitimate) epistemological preoccupation with the accessibility of truth does not warrant the rejection of the realist intuition that truth is, at least for certain types of propositions, radically nonepistemic. (shrink)

In this paper we examine the epistemic value of highly idealized agent-based models of social aspects of scientific inquiry. On the one hand, we argue that taking the results of such simulations as informative of actual scientific inquiry is unwarranted, at least for the class of models proposed in recent literature. Moreover, we argue that a weaker approach, which takes these models as providing only “how-possibly” explanations, does not help to improve their epistemic value. On the other hand, (...) we suggest that if ABMs of science underwent two types of robustness analysis, they could indeed have a clear epistemic function, namely by providing evidence for philosophical and historical hypotheses. In this sense, ABMs can obtain evidential and explanatory properties and thus be a useful tool for integrated history and philosophy of science. We illustrate our point with an example of a model—building on the work by Kevin Zollman—which we apply to a concrete historical case study. (shrink)

In this paper I distinguish three degrees of epistemic egoism, each of which has an ethical analogue, and I argue that all three are incoherent. Since epistemic autonomy is frequently identified with one of these forms of epistemic egoism, it follows that epistemic autonomy as commonly understood is incoherent. I end with a brief discussion of the idea of moral autonomy and suggest that its component of epistemic autonomy in the realm of the moral is (...) problematic. (shrink)

Even if the “value-free ideal of science” (VFI) were an unattainable goal, one could ask: can it be a useful fiction, one that is beneficial for the research community and society? This question is particularly crucial for scholars and institutions concerned with research integrity (RI), as one cannot offer normative guidance to researchers without making some assumptions about what ideal scientific research looks like. Despite the insofar little interaction between scholars studying RI and those working on values in science, the (...) overlap of topics and interests make collaboration between the two fields promising for understanding research and its ethics. Here, we identify—for the use of RI scholars—the non-epistemic reasons (societal, political, professional) for and against the VFI considered in the literature. All of these are concerned with the beneficial or detrimental consequences that endorsing the VFI would have on society, policy-making, or the scientific community, with some authors appealing to the same principles to argue for opposite positions. Though most of the reviewed articles do not endorse the VFI, it is generally agreed that some constraints have to be put on the use of non-epistemic values. Disagreement on the utility of the VFI lies both on the different epistemic-descriptive positions taken by different authors, and on the scarcity of relevant empirical studies. Engaging critically with the reasons here identified and more in general with the values in science debate will help the RI community decide whether the VFI should be included in future codes of conduct. (shrink)

Citizen science projects have started to utilize Machine Learning to sort through large datasets generated in fields like astronomy, ecology and biodiversity, biology, and neuroimaging. Human–machine systems have been created to take advantage of the complementary strengths of humans and machines and have been optimized for efficiency and speed. We conducted qualitative content analysis on meta-summaries of documents reporting the results of 12 citizen science projects that used machine learning to optimize classification tasks. We examined the distribution of tasks between (...) citizen scientists, experts, and algorithms, and how epistemic agency was enacted in terms of whose knowledge shapes the distribution of tasks, who decides what knowledge is relevant to the classification, and who validates it. In our descriptive results, we found that experts, who include professional scientists and algorithm developers, are involved in every aspect of a project, from annotating or labelling data to giving data to algorithms to train them to make decisions from predictions. Experts also test and validate models to improve their accuracy by scoring their outputs when algorithms fail to make correct decisions. Experts are mostly the humans involved in a loop, but when algorithms encounter problems, citizens are also involved at several stages. In this paper, we present three main examples of citizens-in-the-loop: when algorithms provide incorrect suggestions; when algorithms fail to know how to perform classification; and when algorithms pose queries. We consider the implications of the emphasis on optimization on the ideal of science and the role of citizen scientists from a perspective informed by Science and Technology Studies and Information Systems. Based on our findings, we conclude that ML in CS classification projects, far from being deterministic in its nature and effects, may be open to question. There is no guarantee that these technologies can replace citizen scientists, nor any guarantee that they can provide citizens with opportunities for more interesting tasks. (shrink)

Intellectual Dependability is the first research monograph devoted to addressing the question of what it is to be an intellectually dependable person--the sort of person on whom one's fellow inquirers can depend in their pursuit of epistemic goods. While neglected in recent scholarship, this question is an important one for both epistemology--how we should conceptualize the ideal inquirer--and education--how we can enable developing learners to grow toward this ideal. The book defends a virtue theory according to which being an (...) intellectually dependable person is distinctively a matter of possessing a suite of neglected virtues called "the virtues of intellectual dependability" that are themselves distinctively concerned with promoting epistemic goods in others' inquiries. After defending the existence and educational significance of these virtues as a group, the book turns toward the project of identifying and conceptualizing several specific instances of these virtues in detail. Virtues discussed include intellectual benevolence, intellectual transparency, communicative clarity, audience sensitivity, and epistemic guidance. In each case, an interdisciplinary treatment of the nature of the virtue and its relationship to other virtues, vices, and personality features is offered, drawing especially on relevant research in Philosophy and Psychology. The book concludes with a chapter devoted to identifying distinctive ways these virtues of intellectual dependability are manifested when it is inquiring communities, rather than individuals, that occupy the position of intellectual dependence. By directing attention to the ideal of intellectual dependability, the book marks a novel turn of scholarly interest explicitly toward a neglected dimension of the ideal inquirer that will inform both epistemological theorizing and educational practice. (shrink)

It has often been noticed that conciliatory views of disagreement are "self-undermining" in a certain way: advocates of such views cannot consistently maintain them when other philosophers disagree. This leads to apparent problems of instability and even inconsistency. Does self-undermining, then, show conciliationism untenable? If so, the untenablity would extend not only to almost all views of disagreement, but to a wide range of other views supporting what one might call epistemic modesty: roughly, the idea that getting evidence that (...) one has made an epistemic error in arriving at one’s opinion may require adjusting that opinion. This paper argues that the phenomenon of self-undermining does not disclose any defect in views mandating epistemic modesty. Instead, it highlights an uncomfortable but natural consequence of reflecting on one's own possible epistemic imperfections, a sort of reflection that tends to cause epistemic ideals to conflict. (shrink)

Modern scholarship has often wondered whether Indian Buddhist idealism is primarily epistemic or metaphysical: does this idealism amount to a kind of transcendental scepticism according to which we cannot decide whether objects exist or not outside of consciousness because we can have no epistemic access whatsoever to these objects? Or is it rather ontologically committed, i.e., does it consist in denying the very existence of the external world? One could deem the question anachronistic and suspect that with such (...) an inquiry we project onto Ancient and Medieval India a distinction that remains profoundly alien to it, were it not for a few preserved texts where Indian authors themselves distinguish between two such kinds of idealism within the Buddhist philosophical tradition. As already pointed out by Dan Arnold, this is the case in the commentary by Manorathanandin on Dharmakīrti’s Pramāṇavārttika; but the difference between two varieties of Buddhist idealism is also alluded to in Hindu sources, both Mīmāṃsaka and Śaiva. The present article offers a new analysis of Manorathanandin’s short and somewhat ambiguous distinction, and it examines in this connection some important remarks found in the works of the Śaiva nondualists Utpaladeva (c. 925–975) and Abhinavagupta (c. 975–1025). It shows that according to these authors, in fact the epistemic version of the Buddhist argument in favour of idealism is already metaphysical insofar as it necessarily involves a denial of the existence of the external world, and it attempts to assess the faithfulness of this Śaiva interpretation to its Buddhist sources. (shrink)

Faik Kurtulmuş’s exploration of the epistemic basic structure (EBS) invites us to think about the generation, dissemination, and absorption of knowledge in a society, emphasizing the role of institutions in determining epistemic outcomes. Moreover, Kurtulmuş—in joint work with Gürol Irzık—offers a normative take on the EBS from the viewpoint of the theory of justice and does not shy away from drawing specific policy recommendations. Thus, a powerful, innovative concept is used to extend an influential theory and draw out (...) its practical implications. What more is there to wish for? A project of such ambition inevitably faces serious challenges. I address the issue of the alignment between the ideal and non-ideal elements of Kurtulmuş’s theory with an eye toward the practicalities of social reform. My central claim is that the philosophers striving to promote distributive epistemic justice need to think carefully about whom they intend to address with their proposals and how to persuade such addressees. I also maintain that emphasis on a holistic approach to social reform represents a major hindrance to its pragmatic success. (shrink)

I focus on the No-Paradise Dilemma, which results from some initially plausible epistemic ideals, coupled with an assumption concerning our evidence. Our evidence indicates that we are not in an epistemic paradise, in which we do not experience cognitive failures. I opt for a resolution of the dilemma that is based on an evidentialist position that can be motivated independently of the dilemma. According to this position, it is rational for an agent to believe a proposition on (...) the agent’s total evidence just in case the (total) evidence stably supports the proposition. Based on this evidentialist position, I argue that it is not an epistemic ideal in the actual world that we hold rational beliefs that are logically equivalent to our rational beliefs. The dilemma is resolved by giving up this ideal for the actual world and adopting the evidentialist position in terms of stable evidential support. (shrink)

Because idealizations frequently advance scientific understanding, many claim that falsehoods play an epistemic role. In this paper, we argue that these positions greatly overstate idealiza...

Despite the recent backlash against epistemic consequentialism, an explicit systematic alternative has yet to emerge. This paper articulates and defends a novel alternative, Epistemic Kantianism, which rests on a requirement of respect for the truth. §1 tackles some preliminaries concerning the proper formulation of the epistemic consequentialism / non-consequentialism divide, explains where Epistemic Kantianism falls in the dialectical landscape, and shows how it can capture what seems attractive about epistemic consequentialism while yielding predictions that are (...) harder for the latter to secure in a principled way. §2 presents Epistemic Kantianism. §3 argues that it is uniquely poised to satisfy the desiderata set out in §1 on an ideal theory of epistemic justification. §4 gives three further arguments, suggesting that it (i) best explains the objective normative significance of the subject's perspective in epistemology, (ii) follows from the kind of axiology needed to solve the swamping problem together with modest assumptions about the relation between the evaluative and the deontic, and (iii) illuminates certain asymmetries in epistemic value and obligation. §5 takes stock and reassesses the score in the debate. (shrink)

Focusing primarily on papers and books discussing the evolutionary and systematic interpretation of the Cambrian animal fossils from the Burgess Shale fauna, this paper explores the role of epistemic values in the context of a discipline striving to establish scientific authority within a larger domain of epistemic problems and issues . The focal point of this analysis is the repeated claims by paleontologists that the study of fossils gives their discipline a unique ‘historical dimension’ that makes it possible (...) for them to unravel important aspects of evolution invisible to scientists who study the extant biosphere. The first part of the paper explores the shifting of emphasis in the writings of paleontologists between two strategies that employ opposing views on the classical positivist and physicalist ideal of science. The second part analyzes paleontologists’ claims of privileged access to life’s historical dimension in a situation where a theoretical upheaval occurring independent of the epistemical problem at hand completely shifts the standards for evaluating the legitimacy of various knowledge claims. Though the various strategies employed in defending the privileged historical perspective of paleontology have been disparate and, to an extent contradictory, each impinges on the acceptance of a specific epistemic ideal or set of values and success or failure of each depends on the compatibility of this ideal with the surrounding community of scientists. (shrink)

According to an influential Enlightenment ideal, one shouldn't rely epistemically on other people's say-so, at least not if one is in a position to evaluate the relevant evidence for oneself. However, in much recent work in social epistemology, we are urged to dispense with this ideal, which is seen as stemming from a misguided focus on isolated individuals to the exclusion of groups and communities. In this paper, I argue that that an emphasis on the social nature of inquiry should (...) not lead us to entirely abandon the Enlightenment ideal of epistemically autonomous agents. Specifically, I suggest that it is an appropriate ideal for those who serve as experts in a given epistemic community, and develop a notion of expert acceptance to make sense of this. I go on to show that, all other things being equal, this kind of epistemic autonomy among experts makes their joint testimony more reliable, which in turn brings epistemic benefits both to laypeople and to experts in other fields. (shrink)

This paper seeks to exhibit and explain, by way of comparison, two ideal kinds of knowledge: knowledge based on classifications according to genera and species, as in Aristotelianism and common sense, and scientific knowledge based on the application of laws of nature. I will proceed by attempting (1) to determine the role that presuppositions play in knowledge in general by means of the distinction between content and form; (2) to describe and explain the main features of both ideal forms of (...) knowledge; and, finally, (3) to analyze the relation between these two forms of knowledge as it is presented in Eddington's celebrated discussion of the “two tables”. I will be critical of the widespread view that modern science is the correct form of knowledge, and that common sense is merely an illusion. (shrink)

In this paper we present a new framework of idealization in biology. We characterize idealizations as a network of counterfactual conditionals that can exhibit different degrees of contingency. We use the idea of possible worlds to say that, in departing more or less from the actual world, idealizations can serve numerous epistemic, methodological or heuristic purposes within scientific research. We defend that, in part, it is this structure what helps explain why idealizations, despite being deformations of reality, are so (...) successful in scientific practice. (shrink)

Robin McKenna argues that we need to make space for an approach to epistemology that avoids the idealizations typical of the field. He applies this approach to topics in applied and social epistemology, such as what to do about science denial, whether we should try to be intellectually autonomous, and what our obligations are to other inquirers.

I argue that advocates of moderate epistemic idealization need some standards against which they can determine whether a particular individual P has a responsibility to acquire some specific piece of information α. Such a specification is necessary for the purpose of determining whether a reason R, the recognition of which depends on accounting for α, can legitimately be ascribed to P. To this end, I propose an initial sketch of a criterion that may be helpful in illuminating the conditions (...) in which P might be said to have a responsibility to take α into account when searching for reasons to act or believe. I worry that reason ascriptions that are based on information acquisition expectations which are not captured by this criterion may be open to charges of authoritarianism, especially when such a reason ascription prompts one person to demand that another act in a way that is responsive to the ascribed reason. (shrink)

This chapter provides a critical overview of several influential proposals about the epistemic function of higher-order evidence. I start by criticizing accounts of higher-order evidence that appeal to evidential defeat (§1), epistemic conflicts (§2), and unreasonable knowledge (§3). Next, I propose an alternative account that appeals to a combination of improper basing (§4) and non-ideal rationality (§5). Finally, I conclude by summarizing my reasons for preferring this account of higher-order evidence to the alternatives (§6).

This paper is an extended prolepsis in favor of epistemic situationism, the thesis that epistemic virtues are not sufficiently widely distributed for a virtue-theoretic constraint on knowledge to apply without leading to skepticism. It deals with four objections to epistemic situation: 1) that virtuous dispositions are not required for knowledge, 2) that the Big Five or Big Six personality model proves that intellectual virtues are a reasonable ideal, 3) that the cognitive-affective personality system framework proves that intellectual (...) virtues are a reasonable ideal, and 4) that weakening the reliability requirement through epistemic dependence or abilism means that common inferential strategies really are virtues. The paper concludes with reflections on the replication crisis in psychological science. (shrink)