http://dx.doi.org/10.5007/1808-1711.2012v16n2p341 Current supervaluation models of opinion, notably van Fraassen’s (1984; 1989; 1990; 1998; 2005; 2006) use of intervals to characterize vague opinion, capture nuances of ordinary reflection which are overlooked by classic measure theoretic models of subjective probability. However, after briefly explaining van Fraassen’s approach, we present two limitations in his current framework which provide clear empirical reasons for seeking a refinement. Any empirically adequate account of our actual judgments must reckon with the fact that these are typically neither uniform (...) through the range of outcomes we take to be serious possibilities nor abrupt at the edges. (shrink)

Multiple cortical areas of the human brain motor system interact coherently in the low frequency range (< 0.1 Hz), even in the absence of explicit tasks. Following stroke, cortical interactions are functionally disturbed. How these interactions are affected and how the functional organization is regained from rehabilitative treatments as people begin to recover motor behaviors has not been systematically studied. We recorded the intrinsic functional magnetic resonance imaging (fMRI) signals from 30 participants: 17 young healthy controls and 13 aged stroke (...) survivors. Stroke participants underwent mental practice (MP) or both mental practice and physical therapy (MP + PT) within 14-51 days following stroke. We investigated the network activity of five core areas in the motor-execution network, consisting of the left primary motor area (LM1), the right primary motor area (RM1), the left pre-motor cortex (LPMC), the right pre-motor cortex (RPMC) and the supplementary motor area (SMA). We discovered that (i) the network activity dominated in the frequency range 0.06 Hz – 0.08 Hz for all the regions, and for both able-bodied and stroke participants (ii) the causal information flow between the regions: LM1 and SMA, RPMC and SMA, RPMC and LM1, SMA and RM1, SMA and LPMC, was reduced significantly for stroke survivors (iii) the flow did not increase significantly after MP alone and (iv) the flow among the regions during MP+PT increased significantly. We also found that sensation and motor scores were significantly higher and correlated with directed functional connectivity measures when the stroke-survivors underwent MP+PT but not MP alone. The findings provide evidence that a combination of mental practice and physical therapy can be an effective means of treatment for stroke survivors to recover or regain the strength of motor behaviors, and that the spectra of causal information flow can be used as a reliable biomarker for evaluating rehabilitation in stroke survivors. (shrink)

The aim of this paper is to describe and defend the moving spotlight theory of time. I characterise the moving spotlight theory as the conjunction of two theses: permanentism, the thesis that everything exists forever, and the A-theory, the thesis that there is an absolute, objective present time. I begin in Sect. 2 by clearing up some common misconceptions about the moving spotlight theory, focusing on the discussion of the theory in Sider. In doing so, I also fill-out the barebones (...) picture of the moving spotlight theory as the conjunction of permanentism and the A-theory. In Sect. 3 I show how moving spotlighters can avoid the two common objections to their view, the McTaggartian argument that the view is contradictory, and the epistemic argument that the view implies that we should believe we are not located at the present moment. I conclude that the moving spotlight theory does not deserve its current relative unpopularity. (shrink)

Claims pertaining to understanding are made in a variety of contexts and ways. As a result, few in the philosophical literature have made an attempt to precisely characterize the state that is y understanding x. This paper builds an account that does just that. The account is motivated by two main observations. First, understanding x is somehow related to being able to manipulate x. Second, understanding is a mental phenomenon, and so what manipulations are required to be an understander must (...) only be mental manipulations. Combining these two insights, the paper builds an account (URM) of understanding as a certain representational capacity—specifically, understanding x involves possessing a representation of x that could be manipulated in useful ways. By tying understanding to representation, the account correctly identifies that understanding is a fundamentally cognitive achievement. However, by also demanding that which representations count as understanding-conferring be determined by their practical effects, URM captures the insight that understanding is vitally connected to practice. URM is fully general, and can apply equally well to understanding states of affairs, understanding events, and even understanding people and works of art. The ultimate test of URM is its applicability in actual scientific and philosophical discourse. To that end the paper discusses the importance of understanding in the philosophy of science, psychology, and computer science. (shrink)

Clark has recently suggested that predictive processing advances a theory of neural function with the resources to put an ecumenical end to the “representation wars” of recent cognitive science. In this paper I defend and develop this suggestion. First, I broaden the representation wars to include three foundational challenges to representational cognitive science. Second, I articulate three features of predictive processing’s account of internal representation that distinguish it from more orthodox representationalist frameworks. Specifically, I argue that it posits a resemblance-based (...) representational architecture with organism-relative contents that functions in the service of pragmatic success, not veridical representation. Finally, I argue that internal representation so understood is either impervious to the three anti-representationalist challenges I outline or can actively embrace them. (shrink)

Predictive processing has recently been advanced as a global cognitive architecture for the brain. I argue that its commitments concerning the nature and format of cognitive representation are inadequate to account for two basic characteristics of conceptual thought: first, its generality—the fact that we can think and flexibly reason about phenomena at any level of spatial and temporal scale and abstraction; second, its rich compositionality—the specific way in which concepts productively combine to yield our thoughts. I consider two strategies for (...) avoiding these objections and I argue that both confront formidable challenges. (shrink)

Hybrid metaethical theories attempt to incorporate essential elements of expressivism and cognitivism, and thereby to accrue the benefits of both. Hybrid theories are often defended in part by appeals to slurs and other pejoratives, which have both expressive and cognitivist features. This paper takes far more seriously the analogy between pejoratives and moral predicates. It explains how pejoratives work, identifies the features that allow pejoratives to do that work, and models a theory of moral predicates on those features. The result (...) is an expressivist theory that, among other advantages, is immune to embedding difficulties and avoids an overlooked difficulty concerning attitude ascriptions that is lethal to most other hybrid theories. (shrink)

What is understanding? My goal in this paper is to lay out a new approach to this question and clarify how that approach deals with certain issues. The claim is that understanding is a matter of compressing information about the understood so that it can be mentally useful. On this account, understanding amounts to having a representational kernel and the ability to use it to generate the information one needs regarding the target phenomenon. I argue that this ambitious new account (...) can accommodate much of the data that has motivated theories of understanding in philosophy of science, and can also be generally applicable in epistemology and daily life as well. (shrink)

Functional localization has historically been one of the primary goals of neuroscience. There is still debate, however, about whether it is possible, and if so what kind of theories succeed at localization. I argue for a contextualist approach to localization. Most theorists assume that widespread contextual variability in function is fundamentally incompatible with functional decomposition in the brain, because contextualist accounts will fail to be generalizable and projectable. I argue that this assumption is misplaced. A properly articulated contextualism can ground (...) successful theories of localization even without positing completely generalizable accounts. Via a case study from perceptual neuroscience, I suggest that there is strong evidence for contextual variation in the function of perceptual brain areas. I then outline a version of contextualism that is empirically adequate with respect to this data, and claim that it can still distinguish brain areas from each other according to their functional properties. Finally, I claim that the view does not fail the norms for good theory in the way that anticontextualists suppose. It is true that, on a contextualist view, we will not have theories that are completely generalizable and predictive. We can, however, have successful partial generalizations that structure ongoing investigation and lead to novel functional insight, and this success is sufficient to ground the project of functional localization. (shrink)

Hybrid metaethical theories attempt to incorporate essential elements of expressivism and cognitivism, and thereby to accrue the benefits of both. Hybrid theories are often defended in part by appeals to slurs and other pejoratives, which have both expressive and cognitivist features. This paper takes far more seriously the analogy between pejoratives and moral predicates. It explains how pejoratives work, identifies the features that allow pejoratives to do that work, and models a theory of moral predicates on those features. The result (...) is an expressivist theory that, among other advantages, is immune to embedding difficulties and avoids an overlooked difficulty concerning attitude ascriptions that is lethal to most other hybrid theories. (shrink)

Debating Humanity explores sociological and philosophical efforts to delineate key features of humanity that identify us as members of the human species. After challenging the normative contradictions of contemporary posthumanism, this book goes back to the foundational debate on humanism between Jean-Paul Sartre and Martin Heidegger in the 1940s and then re-assesses the implicit and explicit anthropological arguments put forward by seven leading postwar theorists: self-transcendence, adaptation, responsibility, language, strong evaluations, reflexivity and reproduction of life. Genuinely interdisciplinary and boldly argued, (...) Daniel Chernilo has crafted a novel philosophical sociology that defends a universalistic principle of humanity as vital to any adequate understanding of social life. (shrink)

In the first book-length study of American philosophy at the turn of the century, Daniel J. Wilson traces the formation of philosophy as an academic discipline. Wilson shows how the rise of the natural and physical sciences at the end of the nineteenth century precipitated a "crisis of confidence" among philosophers as to the role of their discipline. Deftly tracing the ways in which philosophers sought to incorporate scientific values and methods into their outlook and to redefine philosophy itself, (...) Wilson moves between close analysis of philosophical texts and consideration of professional careers of illustrative philosophers, such as Charles Sanders Peirce, John Dewey, and Josiah Royce. The author situates the emergence of professional philosophy in the context of the professionalization of American higher education and articulates, in the case of philosophy, the structures and values of a professional discipline. One of the most important consequences of this transformation was a new emphasis on communal theories of truth. Peirce, Dewey, and Royce all developed sophisticated and important theories of community as they were engaged in reshaping and redefining the limits of philosophy. This book will be of great importance for those interested in the history of philosophy, the rise of professions, and American intellectual and educational history, and to all those seeking to understand the contemporary revival of pragmatic thought and theories of community. (shrink)

A large body of research in political science claims that the way in which democratic citizens think about politics is motivationally biased by partisanship. Numerous critics argue that the evidence for this claim is better explained by theories in which party allegiances influence political cognition without motivating citizens to embrace biased beliefs. This article has three aims. First, I clarify this criticism, explain why common responses to it are unsuccessful, and argue that to make progress on this debate we need (...) a more developed theory of the connections between group attachments and motivated reasoning. Second, I develop such a theory. Drawing on research on coalitional psychology and the social functions of beliefs, I argue that partisanship unconsciously biases cognition by generating motivations to advocate for party interests, which transform individuals into partisan press secretaries. Finally, I argue that this theory offers a superior explanation of a wide range of relevant findings than purely non-motivational theories of political cognition. (shrink)

Background Our objective was to evaluate whether the description of a machine learning (ML) app or brain imaging technology to predict the onset of schizophrenia or alcohol use disorder (AUD) influences healthcare professionals’ judgments of stigma, empathy, and compassion. Methods We randomized healthcare professionals (N = 310) to one vignette about a person whose clinician seeks to predict schizophrenia or an AUD, using a ML app, brain imaging, or a psychosocial assessment. Participants used scales to measure their judgments of stigma, (...) empathy, and compassion. Results Participants randomized to the ML vignette endorsed less anger and more fear relative to the psychosocial vignette, and the brain imaging vignette elicited higher pity ratings. The brain imaging and ML vignettes evoked lower personal responsibility judgments compared to the psychosocial vignette. Physicians and nurses reported less empathy than clinical psychologists. Conclusions The use of predictive technologies may reinforce essentialist views about mental health and substance use that may increase specific aspects of stigma and reduce others. (shrink)

An anthology of works on the philosophy of economics, including classic texts and essays exploring specific branches and schools of economics. Completely revamped, this edition contains new selections, a revised introduction and a bibliography. The volume contains 26 chapters organized into five parts: Classic Discussions, Positivist and Popperian Views, Ideology and Normative Economics, Branches and Schools of Economics and Their Methodological Problems and New Directions in Economic Methodology. It includes crucial historical contributions by figures such as Mill, Marx, Weber, Robbins, (...) Knight, and Veblen and works by most of the leading contemporary figures writing on economic methodology, including five Nobel Laureates in Economics. (shrink)

Despite growing interest in risks of societal collapse due to anthropogenic climate change, there exists no consensus about how collapse should be understood. In this article, we critically examine existing definitions and argue that none adequately address the challenges for conceptualizing collapse that climate change presents. We therefore propose an alternative conception, which regards collapse as a reduction of collective capacity resulting in a pervasive and difficult-to-reverse loss of basic functionality. Our conception is dynamic in that it focuses on the (...) interrelations of constituent subsystems. It also distinguishes collapse from transformations needed to address climate change and provides insight into the relationship between collapse and sustainability. [Open access]. (shrink)

Predictive processing and its apparent commitment to explaining cognition in terms of Bayesian inference over hierarchical generative models seems to flatly contradict the pragmatist conception of mind and experience. Against this, I argue that this appearance results from philosophical overlays at odd with the science itself, and that the two frameworks are in fact well-poised for mutually beneficial theoretical exchange. Specifically, I argue: first, that predictive processing illuminates pragmatism’s commitment to both the primacy of pragmatic coping in accounts of the (...) mind and the profound organism-relativity of experience; second, that this pragmatic, “narcissistic” character of prediction error minimization undermines its ability to explain the distinctive normativity of intentionality; and third, that predictive processing therefore mandates an extra-neural account of intentional content of exactly the sort that pragmatism’s communitarian vision of human thought can provide. (shrink)

The first major section of the Critique of Pure Reason, the Transcendental Aesthetic, is concerned with the nature of space and time, and with the nature of our representation of them. In interpretations of this part of the Critique, there is a very widespread tendency to present Kant’s discussion of space as attempting to establish that the representation of space is a condition for individuating or distinguishing objects, and that it is on this basis that Kant establishes the apriority of (...) this representation. I believe that this way of interpreting the Aesthetic is wholly misguided. The interpretive tendency I have in mind takes a number of different forms. On one approach, the role of space is to allow us to distinguish objects even if they are qualitatively identical. This represents Kant as making a certain kind of anti-Leibnizian point, one that concerns Leibniz’s principle of the identity of indiscernibles. On another approach, space—or something closely analogous to space—is regarded as essential on account of its role in allowing us to re-identify objects over time. Interpretations of Kant that follow the second approach are largely inspired by Strawson’s discussions of these matters in chapter 2 of Individuals. (shrink)

Are human beings linked by a common nature, one that makes them see the world in the same moral way? Or are they fragmented by different cultural practices and values? These fundamental questions of our existence were debated in the Enlightenment by Locke, Shaftesbury, and Hutcheson. Daniel Carey provides an important new historical perspective on their discussion. At the same time, he explores the relationship between these founding arguments and contemporary disputes over cultural diversity and multiculturalism. Our own conflicting (...) positions today reflect long-standing differences that emerged during the Enlightenment. (shrink)

From dogs to gods, the science of understanding mysterious minds--including your own. Nothing seems more real than the minds of other people. When you consider what your boss is thinking or whether your spouse is happy, you are admitting them into the "mind club." It's easy to assume other humans can think and feel, but what about a cow, a computer, a corporation? What kinds of mind do they have? Daniel M. Wegner and Kurt Gray are award-winning psychologists who (...) have discovered that minds--while incredibly important--are a matter of perception. Their research opens a trove of new findings, with insights into human behavior that are fascinating, frightening and funny. The Mind Club explains why we love some animals and eat others, why people debate the existence of God so intensely, how good people can be so cruel, and why robots make such poor lovers. By investigating the mind perception of extraordinary targets--animals, machines, comatose people, god--Wegner and Gray explain what it means to have a mind, and why it matters so much. Fusing cutting-edge research and personal anecdotes, The Mind Club explores the moral dimensions of mind perception with wit and compassion, revealing the surprisingly simple basis for what compels us to love and hate, to harm and to protect. (shrink)

In recent years, neuroscience has begun to transform itself into a “big data” enterprise with the importation of computational and statistical techniques from machine learning and informatics. In addition to their translational applications such as brain-computer interfaces and early diagnosis of neuropathology, these tools promise to advance new solutions to longstanding theoretical quandaries. Here I critically assess whether these promises will pay off, focusing on the application of multivariate pattern analysis (MVPA) to the problem of reverse inference. I argue that (...) MVPA does not inherently provide a new answer to classical worries about reverse inference, and that the method faces pervasive interpretive problems of its own. Further, the epistemic setting of MVPA and other decoding methods contributes to a potentially worrisome shift towards prediction and away from explanation in fundamental neuroscience. (shrink)

The expressivist advances a view about how we explain the meaning of a fragment of language, such as claims about what we morally ought to do. Critics evaluate expressivism on those terms. This is a serious mistake. We don’t just use that fragment of language in isolation. We make claims about what we morally, legally, rationally, and prudentially ought to do. To account for this linguistic phenomenon, the expressivist owes us an account not just of each fragment of language, but (...) of how they weave together into a broader tapestry. I argue that expressivists face a dilemma in doing so: either they fail to explain the univocality of terms like 'ought', or they fail to explain when normative statements are and aren't inconsistent. (shrink)

Business Ethics is designed to serve as a textbook for first year students of MBA and diploma students of management courses. The book provides a deep insight into the crucial role played by ethical choices in managerial decision making within an organization as well as the impact of such decisions on the world at large. Starting with a broad overview of the meaning and scope of ethics and the development of ethical thought, the book puts forward the applications of ethical (...) standards to business areas such as corporate governance, marketing and brand management, advertising, and finance. The discussion shifts to a more human level with the various issues of workplace ethics as well as consumer rights. Special focus is given to ethical choices related to the environment, cyber space and criminal intimidation. Contemporary issues like corporate code of ethics, political correctness and the role played by NPO and NGO in upholding moral values are discussed in detail. Finally, several open-ended issues like Intellectual Property. The book follows a debate-based approach where both for and against views are presented, followed by concept analysis and logical deductions. This approach is well aided with a number of caselets, case studies and end chapter review questions. This book will also serve as a useful reference for BBA faculty and professionals. (shrink)

Previous research has demonstrated how emotion resembling cues in the face help shape impression formation. Perhaps most notable in the literature to date, has been work suggesting that gender-related appearance cues are visually confounded with certain stereotypic expressive cues. Only a couple studies to date have used computer vision to directly map out and test facial structural resemblance to emotion expressions using facial landmark coordinates to estimate face shape. In one study using a Bayesian network classifier trained to detect emotional (...) expressions structural resemblance to a specific expression on a non-expressive face was found to influence trait impressions of others. In another study, a connectionist model trained to detect emotional expressions found different emotion-resembling cues in male vs. female faces. Despite this seminal work, direct evidence confirming the theoretical assertion that humans likewise utilize these emotion-resembling cues when forming impressions has been lacking. Across four studies, we replicate and extend these prior findings using new advances in computer vision to examine gender-related, emotion-resembling structure, color, and texture and their impact on gender-stereotypic impression formation. We show that all three are meaningfully related to human impressions of emotionally neutral faces. Further when applying the computer vision algorithms to experimentally manipulate faces, we show that humans derive similar impressions from them as did the computer. (shrink)

We argue that generic generalizations about racial groups are pernicious in what they communicate (both to members of that racial group and to members of other racial groups), and may be central to the construction of social categories like racial groups. We then consider how we should change and challenge uses of generic generalizations about racial groups.

In this paper, we argue that, contra Strevens (2013), understanding in the sciences is sometimes partially constituted by the possession of abilities; hence, it is not (in such cases) exhausted by the understander’s bearing a particular psychological or epistemic relationship to some set of structured propositions. Specifically, the case will be made that one does not really understand why a modeled phenomenon occurred unless one has the ability to actually work through (meaning run and grasp at each step) a model (...) simulation of the underlying dynamic. (shrink)

What I find particularly valuable in the juxtaposition of these three essays on my book is the triangulation made possible by their different versions of much the same story. I present my view as a product of cognitive science, but all three express worries that it may involve some sort of ominous backsliding towards the evils of behaviorism. I agree with Baars and McGovern when they suggest that philosophy has had some baleful influences on psychology during this century. Logical positivism (...) at its best was full of subtle softenings, but behaviorist psychologists bought the tabloid version, and sold it to their students in large quantities. George Miller's account of those dreary days is not an exaggeration, and the effects still linger in some quarters. (Philosophers are often amused--but they should really be disconcerted--to note that the only living, preaching logical positivists today are to be found in psychology departments.). (shrink)

Daniel Whistler argues that Hemsterhuis' philosophy matters and that its exclusion from the canon of modern philosophy has been unjust. This is not just because of its influence on later thinkers, but is primarily because Hemsterhuis' philosophy contains a rich assemblage of ideas and philosophical practices.

Nothing was more important to Tolstoy than character development. For him, the purpose of life is to grow morally. The purpose of literature — as all art — is to aid that growth. Abstract philosophy and pedantic scholarship are therefore redundant. Indeed, even the psychological novel is a distraction. Moral truths are self-evident. They are always simple. They are expressed by the humble. They are known by the meek. To become good, all we need to do is peel back the (...) layers of hypocrisy and deceit that have overwrought us. Moral truths are known all over the world, but they are forgotten or covered up. There is nothing like a folktale, a pithy aphorism, or the words of a farm laborer or child to point this out. We may be surprised by what we already know and how deceived we were. All Tolstoy's varied endeavors, his literature, pedagogic theory and philosophy, center on moral conversion and its only legitimate motivation: love. Tolstoy's affront on modern civilization, documented vehemently in his later works sought to teach this lesson. This was a view of character development that had wide ranging impact all over the world, influencing many of the most famous thinkers, educators, and activists of the twentieth century. Tolstoy's stories continue to enthrall and inspire moral transformation. In this article Daniel Moulin explains why. (shrink)

English translation of Kant's Beantwortung der Frage: Was ist Aufklärung? (Königsberg in Prussia, 30 September 1784).

Einstein’s razor, a corollary of Ockham’s razor, is often paraphrased as follows: make everything as simple as possible, but not simpler. This rule of thumb describes the challenge that designers of a legal system face—to craft simple laws that produce desired ends, but not to pursue simplicity so far as to undermine those ends. Complexity, simplicity’s inverse, taxes cognition and increases the likelihood of suboptimal decisions. In addition, unnecessary legal complexity can drive a misallocation of human capital toward comprehending and (...) complying with legal rules and away from other productive ends. While many scholars have offered descriptive accounts or theoretical models of legal complexity, most empirical research to date has been limited to simple measures of size, such as the number of pages in a bill. No extant research rigorously applies a meaningful model to real data. As a consequence, we have no reliable means to determine whether a new bill, regulation, order, or precedent substantially effects legal complexity. In this paper, we begin to address this need by developing a proposed empirical framework for measuring relative legal complexity. This framework is based on “knowledge acquisition”, an approach at the intersection of psychology and computer science, which can take into account the structure, language, and interdependence of law. We then demonstrate the descriptive value of this framework by applying it to the U.S. Code’s Titles, scoring and ranking them by their relative complexity. We measure various features of a title including its structural size, the net flow of its intra-title citations and its linguistic entropy. Our framework is flexible, intuitive, and transparent, and we offer this approach as a first step in developing a practical methodology for assessing legal complexity. (shrink)

An introductory text in linguistic semantics, uniquely balancing empirical coverage and formalism with development of intuition and methodology. -/- This introductory textbook in linguistic semantics for undergraduates features a unique balance between empirical coverage and formalism on the one hand and development of intuition and methodology on the other. It will equip students to form intuitions about a set of data, explain how well an analysis of the data accords with their intuitions, and extend the analysis or seek an alternative. (...) No prior knowledge of linguistics is required. After mastering the material, students will be able to tackle some of the most difficult questions in the field even if they have never taken a linguistics course before. -/- After introducing such concepts as truth conditions and compositionality, the book presents a basic symbolic logic with negation, conjunction, and generalized quantifiers, to serve as the basis for translation throughout the book. It then develops a detailed compositional semantics, covering quantification (scope and binding), adverbial modification, relative clauses, event semantics, tense and aspect, as well as pragmatic phenomena, notably deictic pronouns and narrative progression. -/- A Course in Semantics offers a large and diverse set of exercises, interspersed throughout the text; those labeled “Important practice and looking ahead” prepare students for material to come; those labeled “Thinking about ” invite students to think beyond the content of the book. (shrink)

In the last couple of years a few seemingly independent debates on scientific explanation have emerged, with several key questions that take different forms in different areas. For example, the question what makes an explanation distinctly mathematical and are there any non-causal explanations in sciences (i.e. explanations that don’t cite causes in the explanans) sometimes take a form of the question what makes mathematical models explanatory, especially whether highly idealized models in science can be explanatory and in virtue of what (...) they are explanatory. These questions raise further issues about counterfactuals, modality and explanatory asymmetries, i.e. do mathematical and non-causal explanations support counterfactuals, and how to understand explanatory asymmetries in non-causal explanations. Even though these are very common issues in the philosophy of physics and mathematics, they can be found in different guises in the philosophy of biology, where there is the statistical interpretation of the Modern Synthesis theory of evolution, according to which the post-Darwinian theory of natural selection explains evolutionary change by citing statistical properties of populations and not the causes of changes. These questions also arise in philosophy of ecology or neuroscience in regard to the nature of topological explanations. The question here is whether in network models in biology, ecology, neuroscience and computer science the mathematical or more precisely topological properties can be explanatory of physical phenomena, or they are just different ways to represent causal structures. The aim of the special issue is to unify all these debates around several overlapping questions. (shrink)