Stigmatization of patients exists in nursing and results in less than optimal nursing care and poor patient outcomes. It is also a violation of our code of ethics. In order to eliminate stigmatization from nursing practice, it is necessary to understand how it develops. Two possible theoretical pathways are proposed to explain the development of stigmatization in nursing. These pathways are informed by a conceptual understanding of stigma and theories of professional socialization, professional formation, symbolic interactionism, and social cognitive theory. (...) Re‐labeling and role‐taking and moral disengagement are proposed as two possible processes that may lead to stigmatization of patients. Both proposed pathways have implications on professional socialization, formation, and the development of professional identity. Devoting attention to and reframing normative behavioral expectations, eliminating labeling, developing empathy, focusing on relationships, and cultivating ethical comportment and moral maturity during nursing formation may reduce the stigmatization of patients by nurses. (shrink)

Despite its lack of conceptual clarity and uniform definition, the term drug‐seeking is used frequently by nurses from a variety of practice environments. The drugs patients are referred to as seeking are often pain medications. This is important because nursing has widely adopted a patient‐centric definition of pain. Nursing also has a robust ethical code that places high value on human dignity and nurses’ role in patient advocacy. A review of literature was conducted with the aims of describing whether/how the (...) term drug‐seeking has changed over time and to determine whether the use of the term in nursing literature is consistent with nursing values. Use of the term has shifted from objective counts of patient requests for medication to a confusing mixture of observable patient behavior and subjective interpretations of patient motivation. Its use is not consistent with nursing values. It is, in fact, a good illustration of stigmatization in nursing. Stigmatization is contrary to nursing values. Nurses in practice, research, education, authors, reviewers, and editors all have a role in ending this stigmatization. (shrink)

That there is a “crisis of peer review” at the moment is not in dispute, but sufficient attention has not yet been paid to the normative potential that lies in current calls for reform. In contrast to approaches to “fixing” the problems in peer review, which tend to maintain the status quo in terms of professionalising opportunities, this paper addresses the needs of philosophers and how peer‐review reform can be an opportunity to improve the academic discipline of philosophy, whereby progress (...) is understood as making the discipline more fair to the global academic community and more conducive to the flourishing of academic philosophers. The paper evaluates recent categories of relevant norms and correlating reforms. In conclusion, it recommends that philosophy pursue the norms of transparency and democracy explicitly when proposing peer‐review reform and suggest that proposals for forum‐based models of peer review are most likely to support those norms. (shrink)

There are various equivalent formulations of the Church-Turing thesis. A common one is that every effective computation can be carried out by a Turing machine. The Church-Turing thesis is often misunderstood, particularly in recent writing in the philosophy of mind.

Presupposing no familiarity with the technical concepts of either philosophy or computing, this clear introduction reviews the progress made in AI since the inception of the field in 1956. Copeland goes on to analyze what those working in AI must achieve before they can claim to have built a thinking machine and appraises their prospects of succeeding. There are clear introductions to connectionism and to the language of thought hypothesis which weave together material from philosophy, artificial intelligence and neuroscience. (...) John Searle's attacks on AI and cognitive science are countered and close attention is given to foundational issues, including the nature of computation, Turing Machines, the Church-Turing Thesis and the difference between classical symbol processing and parallel distributed processing. The book also explores the possibility of machines having free will and consciousness and concludes with a discussion of in what sense the human brain may be a computer. (shrink)

'Teoria geral do Estado' trata de temas da ciência política e do Estado em seus variados aspectos. O livro é um tratado geral sobre o Estado, começando por sua noção e suas origens e percorrendo todas as demais informações relacionadas ao tema (soberania, poder político, nação, território, formas de governo), assim como as relações entre Estado, política e direito constitucional.

We demonstrate in this article how critical realism can be used to explain indeterminacy in role behaviour systematically. In so doing, we both rebut various criticisms of critical realism made recently by Kemp and Holmwood and attempt to illustrate the weaknesses and absences of approaches that concentrate unduly on the collection of expectations of actors concerning roles and the behaviour of incumbents. Within a framework that recognises that structure and agency are ontologically distinct but necessarily empirically related entities, we argue (...) that structures should be seen as sources of indeterminacy within role behaviour for at least four reasons: the co-determination of roles through the intersection of structures; conflicting role expectations caused by contradictions inhering within structures; asymmetries of power within social relations; and asymmetric repetition within structural reproduction/transformation. In light of this discussion of structural sources of indeterminacy, we then go on to demonstrate how critical realism is also able to analyse systematically the agential sources of indeterminacy within role behaviour and expectations through theories of psychobiography and reflexivity. We thus conclude that critical realism contains the conceptual tools required to illuminate the point of intersection between structure, culture and agency which is central to understanding both role behaviour and the plurality of expectations concerning such behaviour. (shrink)

This case study applies Integral Ecology to analyze the broad range of strategies environmentalists have undertaken to create protected areas and change forest practices in the Great Bear Rainforest, British Columbia, Canada. Rainforest conservation efforts in the region promoted holistic, trans-disciplinary solutions and fostered agreement among diverse stakeholders, modeling an Integral Ecology approach. Environmentalists worked locally and globally, engaging with economic, cultural, political, and scientific systems to create change. The campaign involved transformations at personal and cultural levels that have enabled (...) negotiated solutions involving over twenty million acres of rainforest on British Columbia's coast. (shrink)

Lectures, scientific papers, top secret wartime material, correspondence, and broadcasts are introduced and set in context by Jack Copeland, Director of the Turing Archive for the History of Computing."--Jacket.

‘Serendipity’ is a category used to describe discoveries in science that occur at the intersection of chance and wisdom. In this paper, I argue for understanding serendipity in science as an emergent property of scientific discovery, describing an oblique relationship between the outcome of a discovery process and the intentions that drove it forward. The recognition of serendipity is correlated with an acknowledgment of the limits of expectations about potential sources of knowledge. I provide an analysis of serendipity in science (...) as a defense of this definition and its implications, drawing from theoretical and empirical research on experiences of serendipity as they occur in science and elsewhere. I focus on three interrelated features of serendipity in science. First, there are variations of serendipity. The process of serendipitous discovery can be complex. Second, a valuable outcome must be obtained before reflection upon the significance of the unexpected observation or event in respect to that outcome can take place. Therefore, serendipity is retrospectively categorized. Third, the primacy of epistemic expectations is elucidated. Finally, I place this analysis within discussions in philosophy of science regarding the impact of interpersonal competition upon the number and significance of scientific discoveries. Thus, the analysis of serendipity offered in this paper contributes to discussions about the social-epistemological aspects of scientific discovery and has normative implications for the structure of epistemically effective scientific communities. (shrink)

Women are cited less frequently than men in a variety of scientific fields. Drawing theoretical resources from Fricker and Hookway, I argue that these gendered citation practices constitute a form of participatory epistemic injustice insofar as they prevent female scientists from fully engaging in the epistemic practices of science. Furthermore, Longino’s notion of “uptake” gives us a way of understanding gendered citation practices as an epistemic harm accrued not simply by individuals but by scientific communities as a whole. Finally, I (...) discuss the cumulative harms of this kind of participatory epistemic injustice for individuals and for marginalized groups. (shrink)

Abstract‘Serendipity’ is a category used to describe discoveries in science that occur at the intersection of chance and wisdom. In this paper, I argue for understanding serendipity in science as an emergent property of scientific discovery, describing an oblique relationship between the outcome of a discovery process and the intentions that drove it forward. The recognition of serendipity is correlated with an acknowledgment of the limits of expectations about potential sources of knowledge. I provide an analysis of serendipity in science (...) as a defense of this definition and its implications, drawing from theoretical and empirical research on experiences of serendipity as they occur in science and elsewhere. I focus on three interrelated features of serendipity in science. First, there are variations of serendipity. The process of serendipitous discovery can be complex. Second, a valuable outcome must be obtained before reflection upon the significance of the unexpected observation or event in respect to that outcome can take place. Therefore, serendipity is retrospectively categorized. Third, the primacy of epistemic expectations is elucidated. Finally, I place this analysis within discussions in philosophy of science regarding the impact of interpersonal competition upon the number and significance of scientific discoveries. Thus, the analysis of serendipity offered in this paper contributes to discussions about the social-epistemological aspects of scientific discovery and has normative implications for the structure of epistemically effective scientific communities. (shrink)

Abstract:Political ecology is an epistemologically plural field of social scientific research. This article seeks to contribute to mapping out the terrain, with emphasis on contributions from Latin America. This is done by sketching out two prototypical forms of political ecology: materialist and poststructuralist, and by exploring the degree to which they can be reconciled in a third form which seeks to avoid the extremes of structural determinism and absolute relativism, by taking recourse to either eclecticism or dialectics. The underlying argument (...) is that, on the basis of ontological materialism and dialectical reasoning, a third form of political ecology can provide the epistemological foundation for illuminating research on why social environmental movements and conflicts emerge at certain historical conjunctures and in specific geographical and cultural contexts, and of how resistance movements against dispossession and the destruction of natural resources are organized and sustained. (shrink)

Presupposing no familiarity with the technical concepts of either philosophy or computing, this clear introduction reviews the progress made in AI since the inception of the field in 1956. Copeland goes on to analyze what those working in AI must achieve before they can claim to have built a thinking machine and appraises their prospects of succeeding.There are clear introductions to connectionism and to the language of thought hypothesis which weave together material from philosophy, artificial intelligence and neuroscience. John (...) Searle's attacks on AI and cognitive science are countered and close attention is given to foundational issues, including the nature of computation, Turing Machines, the Church-Turing Thesis and the difference between classical symbol processing and parallel distributed processing. The book also explores the possibility of machines having free will and consciousness and concludes with a discussion of in what sense the human brain may be a computer. (shrink)

Turing’s analysis of computability has recently been challenged; it is claimed that it is circular to analyse the intuitive concept of numerical computability in terms of the Turing machine. This claim threatens the view, canonical in mathematics and cognitive science, that the concept of a systematic procedure or algorithm is to be explicated by reference to the capacities of Turing machines. We defend Turing’s analysis against the challenge of ‘deviant encodings’.Keywords: Systematic procedure; Turing machine; Church–Turing thesis; Deviant encoding; Acceptable encoding; (...) Turing’s analysis of computability; Turing’s Notational Thesis. (shrink)

Tourism has received relatively scant attention in feminist analysis of women's work under economic restructuring. The industry creates a sector without a shop floor based on the provision of authenticity, leisure, and price-sensitive services. Migrant women from the First World and the Third World labor with national workers in a highly informalized and stratified employment setting. This article examines how structural conditions shape tourism employment in Puerto Viejo, Costa Rica. Drawing from data including observation, interviews, and a longitudinal business survey, (...) I offer several findings. The tourism industry segments possibilities for women who vary in their ability to produce and interpret/translate authentic cultural experiences. As a result, women working in tourism constitute a nationally and ethnically more diverse workforce compared with other global industry sectors. The particular demands of tourism create an important case to further understand how social location shapes women's working lives in the global economy. (shrink)

This article provides a detailed analysis of the transfer of a key cluster of ideas from mathematical logic to computing. We demonstrate the impact of certain of Turing’s logico-philosophical concepts from the mid-1930s on the emergence of the modern electronic computer—and so, in consequence, Turing’s impact on the direction of modern philosophy, via the computational turn. We explain why both Turing and von Neumann saw the problem of developing the electronic computer as a problem in logic, and we describe their (...) joint journey from logic to electronic computation. While much has been written about Turing’s and von Neumann’s individual contributions to the development of the computer, this article investigates less well-known terrain: their interactions and mutual influences. Along the way we argue against ‘logic skeptics’ and ‘Turing skeptics’, who claim that neither logic nor Turing played any significant role in the creation of the modern computer. (shrink)

This article traces the development of possible worlds semantics through the work of: Wittgenstein, 1913-1921; Feys, 1924; McKinsey, 1945; Carnap, 1945-1947; McKinsey, Tarski and Jónsson, 1947-1952; von Wright, 1951; Becker, 1952; Prior, 1953-1954; Montague, 1955; Meredith and Prior, 1956; Geach, 1960; Smiley, 1955-1957; Kanger, 1957; Hintikka, 1957; Guillaume, 1958; Binkley, 1958; Bayart, 1958-1959; Drake, 1959-1961; Kripke, 1958-1965.

This volume celebrates the various facets of Alan Turing (1912–1954), the British mathematician and computing pioneer, widely considered as the father of computer science. It is aimed at the general reader, with additional notes and references for those who wish to explore the life and work of Turing more deeply. -/- The book is divided into eight parts, covering different aspects of Turing’s life and work. -/- Part I presents various biographical aspects of Turing, some from a personal point of (...) view. -/- Part II presents Turing’s universal machine (now known as a Turing machine), which provides a theoretical framework for reasoning about computation. His 1936 paper on this subject is widely seen as providing the starting point for the field of theoretical computer science. -/- Part III presents Turing’s working on codebreaking during World War II. While the War was a disastrous interlude for many, for Turing it provided a nationally important outlet for his creative genius. It is not an overstatement to say that without Turing, the War would probably have lasted longer, and may even have been lost by the Allies. The sensitive nature of Turning’s wartime work meant that much of this has been revealed only relatively recently. -/- Part IV presents Turing’s post-War work on computing, both at the National Physical Laboratory and at the University of Manchester. He made contributions to both hardware design, through the ACE computer at the NPL, and software, especially at Manchester. Part V covers Turing’s contribution to machine intelligence (now known as Artificial Intelligence or AI). Although Turing did not coin the term, he can be considered a founder of this field which is still active today, authoring a seminal paper in 1950. -/- Part VI covers morphogenesis, Turing’s last major scientific contribution, on the generation of seemingly random patterns in biology and on the mathematics behind such patterns. Interest in this area has increased rapidly in recent times in the field of bioinformatics, with Turing’s 1952 paper on this subject being frequently cited. -/- Part VII presents some of Turing’s mathematical influences and achievements. Turing was remarkably free of external influences, with few co-authors – Max Newman was an exception and acted as a mathematical mentor in both Cambridge and Manchester. -/- Part VIII considers Turing in a wider context, including his influence and legacy to science and in the public consciousness. -/- Reflecting Turing’s wide influence, the book includes contributions by authors from a wide variety of backgrounds. Contemporaries provide reminiscences, while there are perspectives by philosophers, mathematicians, computer scientists, historians of science, and museum curators. Some of the contributors gave presentations at Turing Centenary meetings in 2012 in Bletchley Park, King’s College Cambridge, and Oxford University, and several of the chapters in this volume are based on those presentations – some through transcription of the original talks, especially for Turing’s contemporaries, now aged in their 90s. Sadly, some contributors died before the publication of this book, hence its dedication to them. -/- For those interested in personal recollections, Chapters 2, 3, 11, 12, 16, 17, and 36 will be of interest. For philosophical aspects of Turing’s work, see Chapters 6, 7, 26–31, and 41. Mathematical perspectives can be found in Chapters 35 and 37–39. Historical perspectives can be found in Chapters 4, 8, 9, 10, 13–15, 18, 19, 21–25, 34, and 40. With respect to Turing’s body of work, the treatment in Parts II–VI is broadly chronological. We have attempted to be comprehensive with respect to all the important aspects of Turing’s achievements, and the book can be read cover to cover, or the chapters can be tackled individually if desired. There are cross-references between chapters where appropriate, and some chapters will inevitably overlap. -/- We hope that you enjoy this volume as part of your library and that you will dip into it whenever you wish to enter the multifaceted world of Alan Turing. (shrink)

A survey of the field of hypercomputation, including discussion of a variety of objections.

Serendipity is fundamental to science. This quirky and intriguing phenomenon permeates across scientific disciplines, including the medical sciences, psychological sciences, management and organizational sciences, innovation science, philosophy and library and information sciences. Why is it so ubiquitous? Because of what it facilitates and catalyzes: scientific discoveries from velcro to Viagra, innovation of all forms, unexpected encounters of useful information, novel and important ideas, and deep reflection on how we, as individuals, organizations, communities and societies can take leaps forwards by seizing (...) unexpected opportunities and ‘making our own luck.’. (shrink)

What is the role of chance in scientific discovery? And, more to the point, if chance plays a key role in scientific discovery, what room is left for reason? These are grounding questions in the debates, for instance, over whether there is a distinction to be made between discovery and justification in science, and whether innate genius must play a role in discovery or if there exists some method that can be taught to anyone. While the role of chance has (...) been discussed throughout the history of science, it has resurfaced in recent debates over how science should be funded, and particularly in the field of biomedical research. The word serendipity, for example, has become increasingly... (shrink)

This chapter looks closely at the use of resilience as a value in pandemic discourses, and particularly at how it reflects the moral complexity of the situation the pandemic presents: an extended crisis where shocks and stressors interact and have an uncertain end. We review key aspects of how resilience has been conceptualised, generally speaking, focusing on its normative implications. Insofar as resilience is suggested as a goal, or used to evaluate individuals, groups and systems, the rhetorical use of resilience (...) in the pandemic has moral implications that we unpack. Asking questions such as resilience to what, of what, and for whom, drives our analysis of the multiple scales at which morally relevant factors must be considered, in terms of distance and certainty, and across space and over time. Further, we highlight the importance of particularly challenging, intersecting scales both within and beyond the pandemic, such as the interaction between other- and self-regarding concerns and the tension between transformation and conservation, as we consider when to take up opportunities for improving ourselves, our society and our systems, in times of extended crises and radical change. Given that a ‘return to normal’ is neither universally desirable nor likely, we recommend in this chapter ways to address resilience as a value that can shape approaches to policy and behaviour while also being explicit about the normative—evaluative and also prescriptive—implications of its use. (shrink)

This article proposes that untethering amerina at Stat. Silv. 1.6.18 from Pliny's mention of varieties of apples and pears called Amerina allows us to read the line as instead referring to a type of pastry originating in Umbrian Ameria, which is within ancient naming practices for pastries and fits better into the context of the catalogue in which the line occurs. In this case, the second half of the catalogue is closely akin to the crustulum et mulsum donative of wealthy (...) Italian patrons in the early empire. (shrink)

We describe an emerging field, that of nonclassical computability and nonclassical computing machinery. According to the nonclassicist, the set of well-defined computations is not exhausted by the computations that can be carried out by a Turing machine. We provide an overview of the field and a philosophical defence of its foundations.

A myth has arisen concerning Turing's paper of 1936, namely that Turing set forth a fundamental principle concerning the limits of what can be computed by machine - a myth that has passed into cognitive science and the philosophy of mind, to wide and pernicious effect. This supposed principle, sometimes incorrectly termed the 'Church-Turing thesis', is the claim that the class of functions that can be computed by machines is identical to the class of functions that can be computed by (...) Turing machines. In point of fact Turing himself nowhere endorses, nor even states, this claim (nor does Church). I describe a number of notional machines, both analogue and digital, that can compute more than a universal Turing machine. These machines are exemplars of the class of _nonclassical_ computing machines. Nothing known at present rules out the possibility that machines in this class will one day be built, nor that the brain itself is such a machine. These theoretical considerations undercut a number of foundational arguments that are commonly rehearsed in cognitive science, and gesture towards a new class of cognitive models. (shrink)

What are the limits of physical computation? In his ‘Church’s Thesis and Principles for Mechanisms’, Turing’s student Robin Gandy proved that any machine satisfying four idealised physical ‘principles’ is equivalent to some Turing machine. Gandy’s four principles in effect define a class of computing machines (‘Gandy machines’). Our question is: What is the relationship of this class to the class of all (ideal) physical computing machines? Gandy himself suggests that the relationship is identity. We do not share this view. We (...) will point to interesting examples of (ideal) physical machines that fall outside the class of Gandy machines and compute functions that are not Turing-machine computable. (shrink)

Si la phénoménologie a pour principe fondamental d?exprimer la chose même, son objet ne peut être le phénomène mais la phénoménalité, à savoir la façon dont les phénomènes se montrent à nous, c?est-à-dire leur apparaître et ce, parce que c?est précisément cette phénoménalité qui nous livre accès aux phénomènes. Par conséquent la méthode phénoménologique doit en tout point coïncider avec la phénoménalité en tant que c?est elle qui opère la révélation : « L?objet de la phénoménologie constitue identiquement sa méthode (...) et son langage » 1 . Cela conduit Henry à souligner un premier problème inhérent à la démarche phénoménologique : la méthode phénomé­nologique, et le projet qu?elle entreprend de dévoiler la chose même, pré­suppose déjà, comme sa propre possibilité « cette illumination première hors de laquelle aucune chose n?existe » 2 . En ce sens nous ne pouvons définir la méthode phénoménologique comme originelle puisque l?objet dévoilé par elle n?est autre que sa possibilité. Voilà en quoi la réduction est d?ores et déjà falsifiée puisque l?apparaître auquel elle ouvre n?est autre que sa condition propre déjà présupposée. Autrement dit, ce que la phénoménologie nous donne juste­ment, c?est la condition de son faire voir et rien d?autre. En ce sens : La méthode phénoménologique n?est rien d?autre que la mise en ?uvre systématique d?un procès. (shrink)

The prelims comprise: The Birth of the Modern Computer What is a Turing Machine? The Basic Operations of a Turing Machine Human Computation The Church—Turing Thesis Beyond the Universal Turing Machine Misunderstandings of the Church—Turing Thesis: The Limits of Machines Conclusion.

Turing''s test has been much misunderstood. Recently unpublished material by Turing casts fresh light on his thinking and dispels a number of philosophical myths concerning the Turing test. Properly understood, the Turing test withstands objections that are popularly believed to be fatal.