The aim of the article is to intervene in debates about the digital and, in particular, framings that imagine the digital in terms of epochal shifts or as redefining life. Instead, drawing on recent developments in digital methods, we explore the lively, productive and performative qualities of the digital by attending to the specificities of digital devices and how they interact, and sometimes compete, with older devices and their capacity to mobilize and materialize social and other relations. In doing so, (...) our aim is to explore the implications of digital devices and data for reassembling social science methods or what we call the social science apparatuses that assemble digital devices and data to ‘know’ the social and other relations. Building on recent work at CRESC on the social life of methods, we recommend a genealogical approach that is alive to the ways in which digital devices are simultaneously shaped by social worlds, and can in turn become agents that shape those worlds. This calls for attending to the specificities of digital devices themselves, how they are varied and composed of diverse socio-technical arrangements, and are enrolled in the creation of new knowledge spaces, institutions and actors. Rather than exploring what large-scale changes can be revealed and understood through the digital, we argue for explorations of how digital devices themselves are materially implicated in the production and performance of contemporary sociality. To that end we offer the following nine propositions about the implications of digital data and devices and argue that these demand rethinking the theoretical assumptions of social science methods: transactional actors; heterogeneity; visualization; continuous time; whole populations; granularity; expertise; mobile and mobilizing; and non-coherence. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Spiritual Experience and PsychopathologyMike Jackson and K. W. M. Fulford (bio)AbstractA recent study of the relationship between spiritual experience and psychopathology (reported in detail elsewhere) suggested that psychotic phenomena could occur in the context of spiritual experiences rather than mental illness. In the present paper, this finding is illustrated with three detailed case histories. Its implications are then explored for psychopathology, for psychiatric classification, and for our understanding of (...) the concept of mental illness. It is argued that pathological and spiritual psychotic phenomena cannot be distinguished by 1) form and content alone (as in traditional psychopathology), 2) by their relationship either with other symptoms or with pathological causes (as in psychiatric classification), or 3) by reference to the descriptive criteria of mental illness implied by the “medical” model. The distinction is shown to depend, rather, on the way in which psychotic phenomena themselves are embedded in the values and beliefs of the person concerned. This in turn is shown to have implications for diagnosis (it shows the need for clinicians to attend to the values and beliefs of individual patients), for treatment (it points to a cognitive problem-solving model), and for research in psychopathology (especially as related to the emerging sciences of dynamic brain imaging and cognitive neuroscience).Keywordsfirst rank symptoms, schizophrenia, delusion, hallucination, thought disorder, religious experience, mystical experienceIntroductionThis paper explores some of the conceptual and practical implications of the finding that phenomena which in a medical context would probably be diagnosed as psychotic symptoms, may occur in the context of non-pathological, and indeed essentially benign, spiritual experiences.The existence of non-pathological psychotic experiences of this kind (we will call them “psychotic phenomena” as distinct from “psychotic symptoms”—see also Endnote 1, terminology) was a key finding in a study carried out by one of us (MJ) at the Alister Hardy Research Centre (AHRC) in Oxford. Details are given elsewhere both of the overall empirical findings of the study, including the relationship between spiritual experience and personality variables, and of a hypothetical cognitive problem-solving model of these phenomena (Jackson 1991, and forthcoming a and b). In the present paper, 1) the background to the study is described briefly in relation to earlier work on the possible links between spiritual experience and psychopathology; 2) some of the psychotic phenomena identified are illustrated with three detailed case histories; 3) the significance of these phenomena is reviewed for our understanding respectively of psychopathology, of diagnostic syndromes, and of the concept of mental illness; and 4) some of the practical implications of the study for clinical work and research in psychiatry are indicated.BackgroundIt has long been recognized that there are similarities between spiritual and psychotic experiences. [End Page 41] William James (1902), for example, argued that “in delusional insanity, paranoia as they sometimes call it, we may have a kind of diabolical mysticism, a sort of religious mysticism turned upside down” (426). Other commentators have noted a wide variety of phenomena, such as time distortion, synesthesias, loss of self-object boundaries and the transition from a state of conflict and anxiety to one of sudden “understanding,” all of which are reported in both spiritual and psychotic experiences (Buckley 1981; Watson 1982; Wapnick 1969; and Wootton and Allen 1983).Yet the similarities notwithstanding, the distinction between these two kinds of experience can be crucially important. Spiritual experiences, whether welcome or unwelcome, and whether or not they are psychotic in form, have nothing (directly) to do with medicine (Fulford 1996a). It would be quite wrong, then, to “treat” spiritual psychotic experiences with neuroleptic drugs, just as it is quite wrong to “treat” political dissidents as though they were ill (Fulford, Smirnoff and Snow, 1993). Pathological psychotic experiences, on the other hand, or psychotic symptoms, are by definition a proper object of medical treatment, sometimes even against the wishes of the person concerned. Hence it would be both negligent and, as Wing (1978) put it, morally “repellent,” to leave untreated someone who is genuinely ill (244).Given how much turns on the distinction between spiritual experience and psychopathology, it is perhaps not surprising that scholarly discussion of the relationship between them has at times... (shrink)

In this article we set the context for this special issue focusing on individual and organizational reintegration in the aftermath of transgressions that violate ethical and legal boundaries. Following a brief introduction to the topic we provide an overview of each of the four articles selected for this special issue. We then present a number of potentially fruitful empirical, theoretical, and normative directions management and ethics scholars might pursue in order to further advance this evolving literature.

This handbook presents the state of the art of quantitative methods and models to understand and assess the science and technology system. Focusing on various aspects of the development and application of indicators derived from data on scholarly publications, patents and electronic communications, the individual chapters, written by leading experts, discuss theoretical and methodological issues, illustrate applications, highlight their policy context and relevance, and point to future research directions. A substantial portion of the book is dedicated to detailed descriptions and (...) analyses of data sources, presenting both traditional and advanced approaches. It addresses the main bibliographic metrics and indexes, such as the journal impact factor and the h-index, as well as altmetric and webometric indicators and science mapping techniques on different levels of aggregation and in the context of their value for the assessment of research performance as well as their impact on research policy and society. It also presents and critically discusses various national research evaluation systems. Complementing the sections reflecting on the science system, the technology section includes multiple chapters that explain different aspects of patent statistics, patent classification and database search methods to retrieve patent-related information. In addition, it examines the relevance of trademarks and standards as additional technological indicators. The Springer Handbook of Science and Technology Indicators is an invaluable resource for practitioners, scientists and policy makers wanting a systematic and thorough analysis of the potential and limitations of the various approaches to assess research and research performance. (shrink)

Faculty continue to address academic dishonesty in their classes. In this follow-up to an earlier study on general perceived faculty student cheating, using a sample of business school faculty, we compared three levels of faculty classification: full-time non-tenure track, full-time tenured/tenure-track, and part-time adjuncts. Results showed that NTTs perceived higher levels for three different types of student cheating, i.e., paper-based, forbidden teamwork, and hiring someone to take an exam. In addition, NTTs were more likely to report a student for cheating. (...) NTTs reported a higher course load and average class size, and average class size was positively related to all five types of cheating measured. Given the predicted increase in NTTs across all disciplines, making sure that all faculty,, have the resources needed to deter student cheating is important. All faculty have an obligation to hold students accountable for their behavior. Individual integrity is paramount; and it is what employers expect. Regardless of the chosen field or discipline, an employer’s expectations, in terms of character, is to hire individuals who possess a level of honesty that is above reproach. Addressing cheating is an obligation that all faculty need to address purposefully. Providing resources to help faculty address cheating is critical. Resources might include conflict resolution training to provide instructors with the necessary guidance so that they can better handle these difficult situations. This is important not only for the student while in school, but also for a university/college’s reputation. (shrink)

The Ontology Summit 2012 explored the current and potential uses of ontology, its methods and paradigms, in big systems and big data: How ontology can be used to design, develop, and operate such systems. The systems addressed were not just software systems, although software systems are typically core and necessary components, but more complex systems that include multiple kinds and levels of human and community interaction with physical-software systems, systems of systems, and the socio-technical environments for those systems which can (...) include cultural, legal, and economic components. The focus themes used for this exploration were Big Systems Engineering, Big Data Challenge, Large Scale Domain Applications, and cross-cutting aspects Ontology Quality, and Federation and Integration of Systems. The Ontology Summit 2012 consisted of over three months of intensive virtual collaborative elaboration of these issues in presentations, panels, and group email. The culmination of these activities was a face-to-face Symposium at the US National Institute of Standards and Technology (NIST), Gaithersburg, MD, USA, 12–13 April 2012. The primary product of this Ontology Summit is the communiqué reported here. But there are other products, some continuing as collaborative, more specifically focused analysis and modeling efforts aligned with various open standards activities. Behind all of these particular products, of course, is the real overriding purpose of the Ontology Summit 2012, which was: the joint collaboration of three distinct communities, the ontology, systems engineering and big systems stakeholder communities, who came together to address common problems, create common understanding and propose common solutions. (shrink)

Cross-cultural differences in argumentation may be explained by the use of different norms of reasoning. However, some norms derive from, presumably universal, mathematical laws. This inconsistency can be resolved, by considering that some norms of argumentation, like Bayes theorem, are mathematical functions. Systematic variation in the inputs may produce culture-dependent inductive biases although the function remains invariant. This hypothesis was tested by fitting a Bayesian model to data on informal argumentation from Turkish and English cultures, which linguistically mark evidence quality (...) differently. The experiment varied evidential marking and informant reliability in argumentative dialogues and revealed cross-cultural differences for both independent variables. The Bayesian model fitted the data from both cultures well but there were differences in the parameters consistent with culture-specific inductive biases. These findings are related to current controversies over the universality of the norms of reasoning and the role of normative theories in the psychology of reasoning. (shrink)

Recent advances in the technology of creating chimeras have evoked controversy in policy debates. At centre of controversy is the fear that a substantial contribution of human cells or genes in crucial areas of the animal’s body may at some point render the animal more humanlike than any other animals we know today. Authors who have commented on or contributed to policy debates specify that chimeras which would be too humanlike would have an altered moral status and threaten our notion (...) of ‘human dignity’. This setting offers a productive opportunity to test the notion of human dignity and to emphasize some of its weaknesses as an ethical tool. Limiting chimerism experiments on the basis of whether or not it undermines or challenges human dignity implies a clear demarcation of those characteristics which are typically, and importantly, human. Evidence of our evolutionary ties and behavioral similarities with other animals seem to annul all attempts to define the uniquely human properties to which human dignity may be attributed. Hence, it has been suggested that the particular moral status associated with humans cannot be explained for beyond an intuitive basis. In what follows, we will argue that the difficulties inherent in the notion of human dignity lie not in the impossibility to acquire a list of properties which are unique to humans, but rather in the difficulty to demonstrate the moral relevance of these properties, and particularly the relevance of their being human. We offer an alternative interpretation of the concept of dignity which is not necessarily related to being human. (shrink)

The minimal God exemplifies essential omnipotence, omniscience, and moral perfection, but none of the other properties of the traditional God. I examine the consequences of the minimal God in augmented S5, S4, and Kρσ. The metaphysical consequences for the minimal God in S5 include the impossibility that God—or any other object—might acquire, lose, or exchange an essential property. It is impossible that an essentially divine being might become essentially human, for instance. The epistemological consequences include the impossibility of agnosticism—it is (...) impossible that P(◻︎FG |E) = P(~◻︎FG| E). Indeed, every weaker forms of agnosticism are also impossible—it is impossible that P(◻︎FG |E) = n, n(0 < n < 1). The metaphysical and epistemological consequences for the minimal God in S4 are equally untenable. I show that we can avoid all of these unwelcome epistemological consequences for the minimal God in Kρσ. But Kρσ has some extraordinary metaphysical consequences for the minimal God. All of the problems for the minimal God generalize to the maximal God. (shrink)

It is well established that retrieval of names is harder than the retrieval of other identity specific information. This paper offers a review of the more influential accounts put forward as explanations of why names are so difficult to retrieve. A series of five experiments tests a number of these accounts.Experiments One to Three examine the claims that names are hard to recall because they are typically meaningless, or unique. Participants are shown photographs of unfamiliar people or familiar people and (...) given three pieces of information about each: a name, a unique piece of information, and a shared piece of information. Learning follows an incidental procedure, and participants are given a surprise recall test. In each experiment shared information is recalled most often, followed by unique information, followed by name. Experiment Four tests both the `uniqueness' account and an account based on the specificity of the naming response. Participants are presented with famous faces and asked to categorise them by semantic group. Results indicate that less time is needed to perform this task when the group is a subset of a larger semantic category. A final experiment examines the claim that names might take longer to access because they are less often retrieved than other classes of information. Latencies show that participants remain more efficient when categorising faces by their occupation than by their name even when they have received extra practice of naming the faces.We conclude that the explanation best able to account for the data is that names are stored separately from other semantic information and can only be accessed after other identity specific information has been retrieved. However, we also argue that the demands we make of these explanations make it likely that no single theory will be able to account for all existing data. (shrink)

Background 300 million operations and procedures are performed annually across the world, all of which require a patient’s informed consent. No standardised measure of the consent process exists in current clinical practice. We aimed to define a core outcome set for informed consent for therapy. Methods The core outcome set was developed in accordance with a predefined research protocol and the Core OutcoMes in Effectiveness Trials methodology comprising systematic review, qualitative semi structured interviews, a modified Delphi process and consensus webinars (...) to ratify outcomes for inclusion in the final core outcome set.. Participants from all key stakeholder groups took part in the process, including patients and the public, healthcare practitioners and consent researchers. Results 36 outcome domains were synthesised through systematic review and organised into a consent taxonomy. 41 semi-structured interviews were performed with all consent stakeholders groups. 164 participants from all stakeholder groups across 8 countries completed Delphi Round 1 and 125 completed Round 2. 11 outcomes met the ‘consensus in’ criteria. 6 met ‘consensus in’ all stakeholder groups and were included directly in the final core outcome set. 5 remaining outcomes meeting ‘consensus in’ were ratified over two consensus webinars. 9 core outcomes were included in the final core outcome set: Satisfaction with the quality and amount of information, Patient feeling that there was a choice, Patient feeling that the decision to consent was their own, Confidence in the decision made, Satisfaction with communication, Trust in the clinician, Patient satisfaction with the consent process, Patient rated adequacy of time and opportunity to ask questions. Conclusion This international mixed-methods qualitative study is the first of its kind to define a core outcome set for informed consent for intervention. It defines what outcomes are of importance to key stakeholders in the consent process and is a forward step towards standardising future consent research. (shrink)

In the business world, one of the key challenges is how to survive in ever changing business environments and outperforming the competitors, while keeping the operational cost at minimum and profits at maximum level. In other words, this can be described as the problem of improving operational efficiency and reducing cost. Over the past few years due to global financial challenges, it has become even more important to improve the operational efficiency and reduce costs to survive through these tough conditions. (...) Like other successful implementations of Lean philosophy, especially in automobile, aerospace, steel and healthcare, it can be applied in cable manufacturing to achieve competitive, sustainable and profitable processes. The main focus of Lean philosophy is to create value for the stakeholders and end customers by reducing the non-value added activities or waste, and laying a strong foundation towards sustainable growth, by focusing on continuous process improvement. The overall philosophy provides a focused approach for continuous process improvement and the targeting of a variety of tools and methods to bring improvements. This paper presents case studies for Lean scheduling of manufacturing processes and exemplify how Lean scheduling processes allow organisations to maintain the continuous improvement philosophy. This paper also addresses the key elements of rescheduling processes i.e. how to schedule and when to schedule. Further, the paper will exemplify key benefits of Lean scheduling and how the Cable industry could benefit from the proposed approach. (shrink)

Humans exhibit the remarkable ability to solve complex, multi-step problems despite their limited capacity for search. We review the standard theory of problem solving, which posits that heuristic guidance makes this possible, but we also note that most studies have emphasized the role of domain-specific heuristics, which are not available for unfamiliar tasks, over more general ones. We describe FPS, a flexible architecture for problem solving that supports a variety of different strategies and heuristics, and we report its use in (...) an experiment that studies the effectiveness of two domain-independent criteria. The results suggest that such heuristics can make problem solving far more tractable, and they are generally consistent with our claim that their use offsets the drawbacks of bounded rationality. (shrink)

Knauff and Gazzo Castañeda (2022) object to using the term “new paradigm” to describe recent developments in the psychology of reasoning. This paper concedes that the Kuhnian term “paradigm” may be queried. What cannot is that the work subsumed under this heading is part of a new, progressive movement that spans the brain and cognitive sciences: Bayesian cognitive science. Sampling algorithms and Bayes nets used to explain biases in JDM can implement the Bayesian new paradigm approach belying any advantages of (...) mental models theory (MMT) at the algorithmic level. Moreover, this paper argues that new versions of MMT lack a computational level theory and questions the grounds for MMTs much-vaunted generality. The paper then examines common ground on the importance of small-scale models/simulations of the world and the importance of argumentation in the social domain rather than individual reasoning. Finally, the paper concludes that although there may be prospects for moving reasoning research forward in a more collective, collaborative manner, many disagreements remain to be resolved. (shrink)

Recent studies suggest that insects use pattern recognition molecules to distinguish prokaryotic pathogens and fungi from “self” structures. Less understood is how the innate immune system of insects recognizes endoparasitic Hymenoptera and other eukaryotic invaders as foreign. Here we discuss candidate recognition factors and the strategies used by parasitoids to overcome host defense responses. We suggest that host–parasitoid systems are important experimental models for studying how the innate immune system of insects recognizes foreign invaders that are phylogenetically more closely related (...) to their hosts. The strategies used by parasitoids suggest that insects may employ “hidden-self” recognition molecules for attacking foreign objects intruding the open circulatory system. BioEssays 23:344–351, 2001. © 2001 John Wiley & Sons, Inc. (shrink)

Part of understanding the meaning and power of algorithms means asking what new demands they might make of ethical frameworks, and how they might be held accountable to ethical standards. I develop a definition of networked information algorithms as assemblages of institutionally situated code, practices, and norms with the power to create, sustain, and signify relationships among people and data through minimally observable, semiautonomous action. Starting from Merrill’s prompt to see ethics as the study of “what we ought to do,” (...) I examine ethical dimensions of contemporary NIAs. Specifically, in an effort to sketch an empirically grounded, pragmatic ethics of algorithms, I trace an algorithmic assemblage’s power to convene constituents, suggest actions based on perceived similarity and probability, and govern the timing and timeframes of ethical action. (shrink)

Wicked problems’ are tricky to solve because of their many interconnected components and a lack of any single optimal solution. At the science–policy interface, all problems can look wicked: research exposes the complexity that is relevant to designing, executing and implementing policy fit for ambitious human needs. Expertise in philosophical research can help to navigate that complexity.

The Concussion in Sport Group guidelines have successfully brought the attention of brain injuries to the global medical and sport research communities, and has significantly impacted brain injury-related practices and rules of international sport. Despite being the global repository of state-of-the-art science, diagnostic tools and guides to clinical practice, the ensuing consensus statements remain the object of ethical and sociocultural criticism. The purpose of this paper is to bring to bear a broad range of multidisciplinary challenges to the processes and (...) products of sport-related concussion movement. We identify lacunae in scientific research and clinical guidance in relation to age, disability, gender and race. We also identify, through multidisciplinary and interdisciplinary analysis, a range of ethical problems resulting from conflicts of interest, processes of attributing expertise in sport-related concussion, unjustifiably narrow methodological control and insufficient athlete engagement in research and policy development. We argue that the sport and exercise medicine community need to augment the existing research and practice foci to understand these problems more holistically and, in turn, provide guidance and recommendations that help sport clinicians better care for brain-injured athletes. (shrink)

This study explores the capability of academic staff assisted by the Turnitin Artificial Intelligence (AI) detection tool to identify the use of AI-generated content in university assessments. 22 different experimental submissions were produced using Open AI’s ChatGPT tool, with prompting techniques used to reduce the likelihood of AI detectors identifying AI-generated content. These submissions were marked by 15 academic staff members alongside genuine student submissions. Although the AI detection tool identified 91% of the experimental submissions as containing AI-generated content, only (...) 54.8% of the content was identified as AI-generated, underscoring the challenges of detecting AI content when advanced prompting techniques are used. When academic staff members marked the experimental submissions, only 54.5% were reported to the academic misconduct process, emphasising the need for greater awareness of how the results of AI detectors may be interpreted. Similar performance in grades was obtained between student submissions and AI-generated content (AI mean grade: 52.3, Student mean grade: 54.4), showing the capabilities of AI tools in producing human-like responses in real-life assessment situations. Recommendations include adjusting the overall strategies for assessing university students in light of the availability of new Generative AI tools. This may include reducing the overall reliance on assessments where AI tools may be used to mimic human writing, or by using AI-inclusive assessments. Comprehensive training must be provided for both academic staff and students so that academic integrity may be preserved. (shrink)

The “Cosmological Constant Problem” is widely considered a crisis in contemporary theoretical physics. Unfortunately, the search for its resolution is hampered by open disagreement about what is, strictly, the problem. This disagreement stems from the observation that the CCP is not a problem within any of our current theories, and nearly all of the details of those future theories for which the CCP could be made a problem are up for grabs. Given this state of affairs, I discuss how one (...) ought to make sense of the role of the CCP in physics and generalize some lessons from it. (shrink)

In response to calls for greater interdisciplinary involvement from the social sciences and humanities in the development, governance, and study of artificial intelligence systems, this paper presents one sociologist’s view on the problem of algorithmic bias and the reproduction of societal bias. Discussions of bias in AI cover much of the same conceptual terrain that sociologists studying inequality have long understood using more specific terms and theories. Concerns over reproducing societal bias should be informed by an understanding of the ways (...) that inequality is continually reproduced in society—processes that AI systems are either complicit in, or can be designed to disrupt and counter. The contrast presented here is between conservative and radical approaches to AI, with conservatism referring to dominant tendencies that reproduce and strengthen the status quo, while radical approaches work to disrupt systemic forms of inequality. The limitations of a conservative approach to racial bias are discussed through the specific example of biased criminal risk assessments and Indigenous overrepresentation in Canada’s criminal justice system. This illustrates the dangers of treating racial bias as a generalizable problem and equality as a generalizable solution, emphasizing the importance of considering inequality in context. Societal issues can no longer be out of scope for AI and machine learning, given the impact of these systems on human lives. This requires engagement with a growing body of critical AI scholarship that goes beyond biased data to analyze structured ways of perpetuating inequality, opening up the possibility for interdisciplinary engagement and radical alternatives. (shrink)

This book explores a new approach to understanding the human mind - rational analysis - that regards thinking as a facility adapted to the structure of the world. This approach is most closely associated with the work of John R Anderson, who published the original book on rational analysis in 1990. Since then, a great deal of work has been carried out in a number of laboratories around the world, and the aim of this book is to bring this work (...) together for the benefit of the general psychological audience. The book contains chapters by some of the world's leading researchers in memory, categorisation, reasoning, and search, who show how the power of rational analysis can be applied to the central question of how humans think. It will be of interest to students and researchers in cognitive psychology, cognitive science, and animal behaviour. (shrink)

The issue of the proper goals of science education and science teacher education have been a focus of the science education and philosophy of science communities in recent years. More particularly, the issue of whether belief/acceptance of evolution and/or understanding are the appropriate goals for evolution educators and the issue of the precise nature of the distinctions among the terms knowledge, understanding, belief, and acceptance have received increasing attention in the 12 years since we first published our views on these (...) subjects. During that time, our own views about these issues have evolved, and this article presents a reconsideration of both these distinctions and the propriety of these goals. In particular, the present paper continues our discussion of the nature of belief as it relates to science education, and more specifically to evolution education. We extend that work to consider the import of the distinction between belief and acceptance. (shrink)

In ‘Evil is Still Evidence: Comments on Almeida’ Robert Bass presents three objections to the central argument (ENE) in my ‘Evil is Not Evidence’. The first objection is that ENE is invalid. According to the second objection, it is a consequence of ENE that there can be no evidence for or against a posteriori necessities. The third objection is that, contrary to ENE, the likelihood of certain necessary identities varies with the evidence we have for them. In this reply I (...) explain why ENE has exactly none of the implications described by Bass. I argue in the concluding section that there is a modal solution to the epistemological problems presented by ENE. (shrink)

The ‘cosmological constant problem’ has historically been understood as describing a conflict between cosmological observations in the framework of general relativity and theoretical predictions from quantum field theory, which a future theory of quantum gravity ought to resolve. I argue that this view of the CCP is best understood in terms of a bet about future physics made on the basis of particular interpretational choices in GR and QFT, respectively. Crucially, each of these choices must be taken as itself grounded (...) in the sucesses of the respective theory for this bet to be justified. 1 Introduction 2 The Cosmological Constant Problem 2.1 The physics that anticipates ‘vacuum energy’ 2.2 Getting to zero-point energies 2.3 Getting to the cosmological constant 3 The Epistemology of Physical Interpretation 4 The View from High-Energy Physics 5 Concluding Remarks. (shrink)