Online participation in research is used increasingly to recruit geographically dispersed populations. Obtaining online consent is convenient, yet we know little about the acceptability of this practice. We carried out a serostudy among personnel returning to the UK/Ireland following deployment to West Africa during the 2014–2016 Ebola epidemic. We used an online procedure for consenting returnees and designed a small descriptive study to understand: how much of the consent material they read, how informed they felt and if they preferred online (...) to traditional face-to-face consent. Of 261 returnees, 111 completed the consent survey. Participants indicated a high level of engagement with the consent materials, with 67 per cent reporting having read all and 20 per cent having read ‘most’ of the materials. All participants indicated feeling completely or mostly informed about the purpose, methods and intended uses of the research, as well as what participation was required and what risks were involved. Only three participants indicated a preference for face-to-face consent. Free-text comments suggested that online consent may be an acceptable modality for uncomplicated and low-risk studies. The study sample was largely composed of health professionals, suggesting acceptability of online consent within this population. (shrink)

ABSTRACT This paper draws upon the already extensive epistemology of science, both to provide a yardstick of comparison for the emergent epistemology of design, and to establish some starting points from which we might begin to construct the epistemology of design. In approaching the problem of how designers design, the paper employs Heidegger's distinction between ‘know‐how’and ‘knowledge‐that’, popularised by Ryle, and shows it to be central to the distinction between the implicit processes of design employed by craft technologies, and the (...) explicit processes employed by modern scientific technology. Borrowing from recent work by post‐structuralists, it explores the nature of the phases of analysis or ‘deconstruction’, synthesis or construction, and evaluation, by which scientifically informed design is supposed to proceed, paying particular attention to the relationship between deconstructive analysis and constructive synthesis, in order to re‐construct the creative moment/movement by which designers ‘leap’ from problem to solution. (shrink)

In their article 'Causes and Explanations: A Structural-Model Approach. Part I: Causes', Joseph Halpern and Judea Pearl draw upon structural equation models to develop an attractive analysis of 'actual cause'. Their analysis is designed for the case of deterministic causation. I show that their account can be naturally extended to provide an elegant treatment of probabilistic causation.

A History of Anthropology as a Holistic Science discusses the four fields of anthropology as a holistic science and the feasibility of such an approach through an examination of its history and its philosophical foundation. It elucidates the 1960s movement that threatens to discredit the discipline as an effective way of understanding humankind.

This Element provides an accessible introduction to the contemporary philosophy of causation. It introduces the reader to central concepts and distinctions and to key tools drawn upon in the contemporary debate. The aim is to fuel the reader's interest in causation, and to equip them with the resources to contribute to the debate themselves. The discussion is historically informed and outward-looking. 'Historically informed' in that concise accounts of key historical contributions to the understanding of causation set the stage for an (...) examination of the latest research. 'Outward looking' in that illustrations are provided of how the philosophy of causation relates to issues in the sciences, law, and elsewhere. The aim is to show why the study of causation is of critical importance, besides being fascinating in its own right. (shrink)

ABSTRACT Joseph Halpern and Judea Pearl draw upon structural equation models to develop an attractive analysis of ‘actual cause’. Their analysis is designed for the case of deterministic causation. I show that their account can be naturally extended to provide an elegant treatment of probabilistic causation. 1Introduction 2Preemption 3Structural Equation Models 4The Halpern and Pearl Definition of ‘Actual Cause’ 5Preemption Again 6The Probabilistic Case 7Probabilistic Causal Models 8A Proposed Probabilistic Extension of Halpern and Pearl’s Definition 9Twardy and Korb’s Account 10Probabilistic (...) Fizzling 11Conclusion. (shrink)

Special science generalizations admit of exceptions. Among the class of non-exceptionless special science generalizations, I distinguish minutis rectis generalizations from the more familiar category of ceteris paribus generalizations. I argue that the challenges involved in showing that mr generalizations can play the law role are underappreciated, and quite different from those involved in showing that cp generalizations can do so. I outline a strategy for meeting the challenges posed by mr generalizations.

Much recent philosophical attention has been devoted to the prospects of the Best System Analysis of chance for yielding high-level chances, including statistical mechanical and special science chances. But a foundational worry about the BSA lurks: there don’t appear to be uniquely correct measures of the degree to which a system exhibits theoretical virtues, such as simplicity, strength, and fit. Nor does there appear to be a uniquely correct exchange rate at which the theoretical virtues trade off against one another (...) in the determination of an overall best system. I argue that there’s no robustly best system for our world – no system that comes out best under every reasonable measure of the theoretical virtues and exchange rate between them – but rather a set of ‘tied-for-best’ systems: a set of very good systems, none of which is robustly best. Among the tied-for-best systems are systems that entail differing high-level probabilities. I argue that the advocate of the BSA should conclude that the high-level chances for our world are imprecise. (shrink)

Appearing in English for the first time, Schelling’s 1842 lectures develop the idea that many philosophical concepts are born of religious-mythological notions.

I argue that there are non-trivial objective chances (that is, objective chances other than 0 and 1) even in deterministic worlds. The argument is straightforward. I observe that there are probabilistic special scientific laws even in deterministic worlds. These laws project non-trivial probabilities for the events that they concern. And these probabilities play the chance role and so should be regarded as chances as opposed, for example, to epistemic probabilities or credences. The supposition of non-trivial deterministic chances might seem to (...) land us in contradiction. The fundamental laws of deterministic worlds project trivial probabilities for the very same events that are assigned non-trivial probabilities by the special scientific laws. I argue that any appearance of tension is dissolved by recognition of the level-relativity of chances. There is therefore no obstacle to accepting non-trivial chance-role-playing deterministic probabilities as genuine chances. (shrink)

An actual cause of some token effect is itself a token event that helped to bring about that effect. The notion of an actual cause is different from that of a potential cause – for example a pre-empted backup – which had the capacity to bring about the effect, but which wasn't in fact operative on the occasion in question. Sometimes actual causes are also distinguished from mere background conditions: as when we judge that the struck match was a cause (...) of the fire, while the presence of oxygen was merely part of the relevant background against which the struck match operated. Actual causation is also to be distinguished from type causation: actual causation holds between token events in a particular, concrete scenario; type causation, by contrast, holds between event kinds in scenario kinds. (shrink)

Much recent philosophical attention has been devoted to variants on the Best System Analysis of laws and chance. In particular, philosophers have been interested in the prospects of such Best System Analyses for yielding *high-level* laws and chances. Nevertheless, a foundational worry about BSAs lurks: there do not appear to be uniquely appropriate measures of the degree to which a system exhibits theoretical virtues, such as simplicity and strength. Nor does there appear to be a uniquely correct exchange rate at (...) which the theoretical virtues of simplicity, strength, and likelihood trade off against one another in the determination of a best system. Moreover, it may be that there is no *robustly* best system: no system that comes out best under *any* reasonable measures of the theoretical virtues and exchange rate between them. This worry has been noted by several philosophers, with some arguing that there is indeed plausibly a set of tied-for-best systems for our world. Some have even argued that this entails that there are no Best System laws or chances in our world. I argue that, while it *is* plausible that there is a set of tied-for-best systems for our world, it doesn't follow from this that there are no Best System chances. Rather, it follows that the Best System chances for our world are *unsharp*. (shrink)

We introduce a family of rules for adjusting one's credences in response to learning the credences of others. These rules have a number of desirable features. 1. They yield the posterior credences that would result from updating by standard Bayesian conditionalization on one's peers' reported credences if one's likelihood function takes a particular simple form. 2. In the simplest form, they are symmetric among the agents in the group. 3. They map neatly onto the familiar Condorcet voting results. 4. They (...) preserve shared agreement about independence in a wide range of cases. 5. They commute with conditionalization and with multiple peer updates. Importantly, these rules have a surprising property that we call synergy - peer testimony of credences can provide mutually supporting evidence raising an individual's credence higher than any peer's initial prior report. At first, this may seem to be a strike against them. We argue, however, that synergy is actually a desirable feature and the failure of other updating rules to yield synergy is a strike against them. (shrink)

The starting point in the development of probabilistic analyses of token causation has usually been the naïve intuition that, in some relevant sense, a cause raises the probability of its effect. But there are well-known examples both of non-probability-raising causation and of probability-raising non-causation. Sophisticated extant probabilistic analyses treat many such cases correctly, but only at the cost of excluding the possibilities of direct non-probability-raising causation, failures of causal transitivity, action-at-a-distance, prevention, and causation by absence and omission. I show that (...) an examination of the structure of these problem cases suggests a different treatment, one which avoids the costs of extant probabilistic analyses. (shrink)

Completeness is shown for several versions of Girard's linear logic with respect to Petri nets as the class of models. One logic considered is the -free fragment of intuitionistic linear logic without the exponential !. For this fragment Petri nets form a sound and complete model. The strongest logic considered is intuitionistic linear logic, with ,&, and the exponential ! , and forms of quantification. This logic is shown sound and complete with respect to atomic nets , though only once (...) we add extra axioms specific to the Petri-net model. The logic is remarkably expressive, enabling descriptions of the kinds of properties one might wish to show of nets; in particular, negative properties, asserting the impossibility of an assertion, can also be expressed. Unfortunately, with respect to this logic, whether an assertion is true of a finite net becomes undecidable. (shrink)

In Making Things Happen, James Woodward influentially combines a causal modeling analysis of actual causation with an interventionist semantics for the counterfactuals encoded in causal models. This leads to circularities, since interventions are defined in terms of both actual causation and interventionist counterfactuals. Circularity can be avoided by instead combining a causal modeling analysis with a semantics along the lines of that given by David Lewis, on which counterfactuals are to be evaluated with respect to worlds in which their antecedents (...) are realized by miracles. I argue, pace Woodward, that causal modeling analyses perform just as well when combined with the Lewisian semantics as when combined with the interventionist semantics. Reductivity therefore remains a reasonable hope. (shrink)

Science is often thought of as a methodical but dull activity. But the finest science, the breakthroughs most admired and respected by scientists themselves, is characterized by elegance." "What does elegance mean in the context of science? Economy is a considerable part of it; creativity too. Sometimes, a suggested solution is so simple and neat that it elicits an exclamation of wonder from the observer. The greatest science, whether primarily theoretical or experimental, reflects a creative imagination." "In this book, the (...) distinguished physiologist and writer Ian Glynn explores some of the finest examples of elegance in science: the delightful simplicity of the laws discovered by Kepler and Newton in the motion of the planets; Galileo's experiments with an inclined plane; the remarkable work of Thomas Young on light; dazzling insights into the counterintuitive workings of our perception demonstrated by Richard Gregory and Vilayanur Ramachandran; and the several breakthroughs that led to Crick and Watson's unravelling of the structure and function of DNA. The result is a fascinating tour through some of the most important episodes in the history of science."--BOOK JACKET. (shrink)

Feminized care work occupations have traditionally paid lower wages compared to non–care work occupations when controlling for human capital. However, when men enter feminized occupations, they often experience a “glass escalator,” leading to higher wages and career mobility as compared to their female counterparts. In this study, we examine whether men experience a “wage penalty” for performing care work in today’s economy, or whether the glass escalator helps to mitigate the devaluation of care work occupations. Using data from the Survey (...) of Income and Program Participation for the years 1996-2011, we examine the career patterns of low- and middle-skill men in health care occupations. We found that men in occupations that provide the most hands-on direct care did experience lower earnings compared to men in other occupations after controlling for demographic characteristics. However, men in more technical allied health occupations did not have significantly lower earnings, suggesting that these occupations may be part of the glass escalator for men in the health care sector. Minority men were significantly more likely than white men to be in direct care occupations, but not in frontline allied health occupations. Male direct care workers were less likely to transition to unemployment compared to men in other occupations. (shrink)

The idea of elegance in science is not necessarily a familiar one, but it is an important one. The use of the term is perhaps most clear-cut in mathematics - the elegant proof - and this is where Ian Glynn begins his exploration. Scientists often share a sense of admiration and excitement on hearing of an elegant solution to a problem, an elegant theory, or an elegant experiment. The idea of elegance may seem strange in a field of endeavour (...) that prides itself in its objectivity, but only if science is regarded as a dull, dry activity of counting and measuring. It is, of course, far more than that, and elegance is a fundamental aspect of the beauty and imagination involved in scientific activity. Ian Glynn, a distinguished scientist, selects historical examples from a range of sciences to draw out the principles of science, including Kepler's Laws, the experiments that demonstrated the nature of heat, and the action of nerves, and of course the several extraordinary episodes that led to Watson and Crick's discovery of the structure of DNA. With a highly readable selection of inspiring episodes highlighting the role of beauty and simplicity in the sciences, the book also relates to important philosophical issues of inference, and Glynn ends by warning us not to rely on beauty and simplicity alone - even the most elegant explanation can be wrong. (shrink)

We investigate whether standard counterfactual analyses of causation imply that the outcomes of space-like separated measurements on entangled particles are causally related. Although it has sometimes been claimed that standard CACs imply such a causal relation, we argue that a careful examination of David Lewis’s influential counterfactual semantics casts doubt on this. We discuss ways in which Lewis’s semantics and standard CACs might be extended to the case of space-like correlations.

An influential tradition in the philosophy of causation has it that all token causal facts are, or are reducible to, facts about difference-making. Challenges to this tradition have typically focused on pre-emption cases, in which a cause apparently fails to make a difference to its effect. However, a novel challenge to the difference-making approach has recently been issued by Alyssa Ney. Ney defends causal foundationalism, which she characterizes as the thesis that facts about difference-making depend upon facts about physical causation. (...) She takes this to imply that causation is not fundamentally a matter of difference-making. In this paper, I defend the difference-making approach against Ney’s argument. I also offer some positive reasons for thinking, pace Ney, that causation is fundamentally a matter of difference-making. (shrink)

In an illuminating article, Claus Beisbart argues that the recently-popular thesis that the probabilities of statistical mechanics (SM) are Best System chances runs into a serious obstacle: there is no one axiomatization of SM that is robustly best, as judged by the theoretical virtues of simplicity, strength, and fit. Beisbart takes this 'no clear winner' result to imply that the probabilities yielded by the competing axiomatizations simply fail to count as Best System chances. In this reply, we express sympathy for (...) the 'no clear winner' thesis. However, we argue that an importantly different moral should be drawn from this. We contend that the implication for Humean chances is not that there are no SM chances, but rather that SM chances fail to be sharp. (shrink)

The discovery of high-level causal relations seems a central activity of the special sciences. Those same sciences are less successful in formulating strict laws. If causation must be underwritten by strict laws, we are faced with a puzzle, which might be dubbed the 'no strict laws' problem for high-level causation. Attempts have been made to dissolve this problem by showing that leading theories of causation do not in fact require that causation be underwritten by strict laws. But this conclusion has (...) been too hastily drawn. Philosophers have tended to equate non-strict laws with ceteris paribus laws. I argue that there is another category of non-strict law that has often not been properly distinguished: namely, minutiae rectus laws. If, as it appears, many special science laws are minutiae rectus laws, then this poses a problem for their ability to underwrite causal relations in a way that their typically ceteris paribus nature does not. I argue that the best prospect for resolving the resurgent 'no strict laws' problem is to argue that special science laws are in fact typically probabilistic, rather than being minutiae rectus laws. (shrink)

Love, fear, hope, calculus, and game shows-how do all these spring from a few delicate pounds of meat? Neurophysiologist Ian Glynn lays the foundation for answering this question in his expansive An Anatomy of Thought, but stops short of committing to one particular theory. The book is a pleasant challenge, presenting the reader with the latest research and thinking about neuroscience and how it relates to various models of consciousness. Combining the aim of a textbook with the style of (...) a popularization, it provides all the lay reader needs to know to participate in the philosophical debate that is redefining our attitudes about our minds. Drawing on the rich history of neurological case studies, Glynn picks through the building blocks of our nervous system, examines our visual and linguistic systems, and probes deeply into our higher thought processes. The stories of great scientists, like Ramon y Cajal, and famous patients, like Sperry's split-brained epileptics, illuminate the scientific issues Glynn selects as essential for understanding consciousness. Some might argue that his lengthy explorations of natural selection overemphasize evolutionary explanations of psychological phenomena, but they must also agree that evolutionary psychology has distanced itself mightily from social Darwinism in recent years and merits a reappraisal. The great consciousness debate may form the core of the 21st-century Zeitgeist; get ready for it with An Anatomy of Thought. -Rob Lightner From Publishers Weekly How do we know? What do we think? How could a philosophical problem-'the mind-body problem,' say-induce a headache? What can evolutionary theory, molecular biology, the history of medicine and experimental psychology tell us about the features of human consciousness, and (once again) how do we know? Glynn, a physician and Cambridge University professor, meticulously attempts to answer these questions and more, setting forth the results of all sorts of research relevant to our brains-from 19th-century dissections to Oliver Sacks-like case studies, work with monkeys and supercomputers, and the enduring puzzles of philosophy, which he rightly saves for near the end. After explaining evolution by natural selection and 'clearing away much dross,' Glynn lays out the experiments and theories that have shown 'how nerve cells can carry information about the body, how they can interact' and how sense organs work; demonstrates the 'mixture of parallel and hierarchical organization' in our brains and 'the striking localization of function within it'; considers where neuroscience is likely to go; and admits that, among the many fields of exciting research just ahead, 'we can be least confident of progress toward a complete, scientific explanation of our sensations and thoughts and feelings.' Other recent explaining-the-brain books have sometimes advanced simplistic, or implausibly grand, claims about the nature and features of consciousness in general. Instead, Glynn offers a patient, informative, well-laid-out researcher's-eye view of what we have learned, how we figured it out and what we still don't know about neurons, senses, feelings, brains and minds. (Apr.) Copyright 2000 Reed Business Information, Inc. From Library Journal The nature of consciousness, which perennially troubles the minds of scientists and philosophers, is the subject of an ever-growing body of literature. Two of the latest entries approach the topic from different perspectives. Glynn, a professor of physiology and head of the Physiological Laboratory at Cambridge, offers a comprehensive summary of what we know about the brain-both its evolution and its mechanisms. Among the topics he covers are natural selection, molecular evolution, nerves and the nervous system, sensory perception, and the specific structures responsible for our intellect. Using the mechanisms involved in vision and speech as models, Glynn skillfully describes various neurological deficiencies that can lead to 'disordered seeing' and problems with the use of language. He carefully distinguishes what we know through experimental evidence from what we know through the observation of patients with neurological damage. He also describes some of the major theories that attempt to explain why these structures arose. While his book concentrates on the structures that make up the mind, Glynn is well aware that some physical events appear explicable only in terms of conscious mental events-a situation that conflicts with the laws of modern physics. Only briefly, however, does he consider the various approaches that have been taken to deal with the issues of mind/body and free will. In contrast, this is the primary focus of The Physics of Consciousness. After reviewing the fundamentals of classic physics, Walker (who has a Ph.D. in physics) summarizes elements of the new physics in which our knowledge of space, time, matter, and energy are all dependent on the moment of observation. Walker explores the meaning of consciousness as a characteristic of the observer. In this context both the observer and the act of measurement are critical. In essence, Walker leads his reader on a journey through his concept of a 'quantum mind,' which can both affect matter (including other minds) and can be affected by other distant matter/minds. To break up what would otherwise be an extremely dense text, Walker also relates the very touching story of the loss of his high-school sweetheart to leukemia. Indeed, it is his memory of their relationship that drives Walker to seek an understanding of ultimate reality. At times, he has a tendency to be dogmatic-as when he concludes, 'our consciousness, our mind, and the will of God are the same mind.' While An Anatomy of Thought is appropriate for most academic libraries, the Physics of Consciousness will be most accessible to readers with some knowledge of advanced physics. -Laurie Bartolini, Illinois State Lib., Springfield Copyright 2000 Reed Business Information, Inc. From Booklist The codiscoverers of natural selection-Charles Darwin and Alfred Wallace-disagreed over the possibility of finding an evolutionary explanation for the human mind. Glynn here argues Darwin's side of the debate, tracing an eons-long path of development starting from simple amino acids floating in primal seas and extending through the erect hominids in which the powers of a massive brain first manifest themselves. Patiently adducing evidence of an evolutionary origin for the underlying molecular machinery, Glynn dissects the nerve centers that make possible speech and hearing, sight, and reading. Pressing deeper, he lays bare the cortical foundations of personality. But those who deal with the mind must attend also to the arguments advanced by philosophers. And it is when he turns from dendrites to syllogisms (especially the vexing mind-body paradox) that Glynn's empirical reasoning fails him. In the end, he concedes his perplexity in trying to conceive of an evolutionary origin for human consciousness. This concession may set the shade of Alfred Wallace to chortling, but it will draw readers into an honest confrontation with a profound enigma. Bryce Christensen. (shrink)

Corpus-driven Cognitive Semantics Introduction to the field Dylan Glynn Is quantitative empirical research possible for the study of semantics?1 More ...