Giuliana Carugati - The Metaphysics of Dante's Comedy - Journal of the History of Philosophy 44:3 Journal of the History of Philosophy 44.3 474-475 Christian Moevs. The Metaphysics of Dante's Comedy. American Academy of Religion, Reflection and Theory in the Study of Religion Series. Oxford-New York: Oxford University Press, 2005. Pp. xii + 308. Cloth, $49.95 Having for a long time insisted on a newly "mystical," as well as a radically contemporary, reading of Dante's Commedia, this reviewer cannot but (...) deeply appreciate Moev's intelligent and well-written book, which addresses the question of the "truth" of the poem, and solves it by pointing in the direction of "self-knowledge, the self-experience of what is" . In other words, the poem represents "how . . . the human soul or intelligence.. (shrink)
Giuliana Carugati - The Metaphysics of Dante's Comedy - Journal of the History of Philosophy 44:3 Journal of the History of Philosophy 44.3 474-475 Christian Moevs. The Metaphysics of Dante's Comedy. American Academy of Religion, Reflection and Theory in the Study of Religion Series. Oxford-New York: Oxford University Press, 2005. Pp. xii + 308. Cloth, $49.95 Having for a long time insisted on a newly "mystical," as well as a radically contemporary, reading of Dante's Commedia, this reviewer cannot but (...) deeply appreciate Moev's intelligent and well-written book, which addresses the question of the "truth" of the poem, and solves it by pointing in the direction of "self-knowledge, the self-experience of what is". In other words, the poem represents "how... the human soul or intelligence... (shrink)
The anti-causal prophecies of last century have been disproved. Causality is neither a ‘relic of a bygone’ nor ‘another fetish of modern science’; it still occupies a large part of the current debate in philosophy and the sciences. This investigation into causal modelling presents the rationale of causality, i.e. the notion that guides causal reasoning in causal modelling. It is argued that causal models are regimented by a rationale of variation, nor of regularity neither invariance, thus breaking down the dominant (...) Human paradigm. The notion of variation is shown to be embedded in the scheme of reasoning behind various causal models: e.g. Rubin’s model, contingency tables, and multilevel analysis. It is also shown to be latent – yet fundamental – in many philosophical accounts. Moreover, it has significant consequences for methodological issues: the warranty of the causal interpretation of causal models, the levels of causation, the characterisation of mechanisms, and the interpretation of probability. This book offers a novel philosophical and methodological approach to causal reasoning in causal modelling and provides the reader with the tools to be up to date about various issues causality rises in social science. "Dr. Federica... more on http://springer.com/978-1-4020-8816-2.. (shrink)
Philosophy of medicine: between clinical trials and mechanisms Content Type Journal Article Category Book Review Pages 1-4 DOI 10.1007/s11016-011-9630-5 Authors Federica Russo, Philosophy-SECL, University of Kent, Canterbury, CT2 7NF UK Journal Metascience Online ISSN 1467-9981 Print ISSN 0815-0796.
Evidence-based medicine (EBM) makes use of explicit procedures for grading evidence for causal claims. Normally, these procedures categorise evidence of correlation produced by statistical trials as better evidence for a causal claim than evidence of mechanisms produced by other methods. We argue, in contrast, that evidence of mechanisms needs to be viewed as complementary to, rather than inferior to, evidence of correlation. In this paper we first set out the case for treating evidence of mechanisms alongside evidence of correlation in (...) explicit protocols for evaluating evidence. Next we provide case studies which exemplify the ways in which evidence of mechanisms complements evidence of correlation in practice. Finally, we put forward some general considerations as to how the two sorts of evidence can be more closely integrated by EBM. (shrink)
We argue that the health sciences make causal claims on the basis of evidence both of physical mechanisms, and of probabilistic dependencies. Consequently, an analysis of causality solely in terms of physical mechanisms or solely in terms of probabilistic relationships, does not do justice to the causal claims of these sciences. Yet there seems to be a single relation of cause in these sciences - pluralism about causality will not do either. Instead, we maintain, the health sciences require a theory (...) of causality that unifies its mechanistic and probabilistic aspects. We argue that the epistemic theory of causality provides the required unification. (shrink)
The use of evidence in medicine is something we should continuously seek to improve. This book seeks to develop our understanding of evidence of mechanism in evaluating evidence in medicine, public health, and social care; and also offers tools to help implement improved assessment of evidence of mechanism in practice. In this way, the book offers a bridge between more theoretical and conceptual insights and worries about evidence of mechanism and practical means to fit the results into evidence assessment procedures.
Scientific and philosophical literature on causality has become highly specialised. It is hard to find suitable access points for students, young researchers, or professionals outside this domain. This book provides a guide to the complex literature, explains the scientific problems of causality and the philosophical tools needed to address them.
According to current hierarchies of evidence for EBM, evidence of correlation is always more important than evidence of mechanisms when evaluating and establishing causal claims. We argue that evidence of mechanisms needs to be treated alongside evidence of correlation. This is for three reasons. First, correlation is always a fallible indicator of causation, subject in particular to the problem of confounding; evidence of mechanisms can in some cases be more important than evidence of correlation when assessing a causal claim. Second, (...) evidence of mechanisms is often required in order to obtain evidence of correlation. Third, evidence of mechanisms is often required in order to generalise and apply causal claims. While the EBM movement has been enormously successful in making explicit and critically examining one aspect of our evidential practice, i.e., evidence of correlation, we wish to extend this line of work to make explicit and critically examine a second aspect of our evidential practices: evidence of mechanisms. (shrink)
Causal claims in biomedical contexts are ubiquitous albeit they are not always made explicit. This paper addresses the question of what causal claims mean in the context of disease. It is argued that in medical contexts causality ought to be interpreted according to the epistemic theory. The epistemic theory offers an alternative to traditional accounts that cash out causation either in terms of “difference-making” relations or in terms of mechanisms. According to the epistemic approach, causal claims tell us about which (...) inferences (e.g., diagnoses and prognoses) are appropriate, rather than about the presence of some physical causal relation analogous to distance or gravitational attraction. It is shown that the epistemic theory has important consequences for medical practice, in particular with regard to evidence-based causal assessment. (shrink)
The dominant, individualistic understanding of autonomy that features in clinical practice and research is underpinned by the idea that people are, in their ideal form, independent, self-interested and rational gain-maximising decision-makers. In recent decades, this paradigm has been challenged from various disciplinary and intellectual directions. Proponents of ‘relational autonomy’ in particular have argued that people’s identities, needs, interests – and indeed autonomy – are always also shaped by their relations to others. Yet, despite the pronounced and nuanced critique directed at (...) an individualistic understanding of autonomy, this critique has had very little effect on ethical and legal instruments in clinical practice and research so far. In this article, we use four case studies to explore to what extent, if at all, relational autonomy can provide solutions to ethical and practical problems in clinical practice and research. We conclude that certain forms of relational autonomy can have a tangibl... (shrink)
Mobile health is rapidly being implemented and changing our ways of doing, understanding and organising healthcare. mHealth includes wearable devices as well as apps that track fitness, offer wellness programmes or provide tools to manage chronic conditions. According to industry and policy makers, these systems offer efficient and cost-effective solutions for disease prevention and self-management. While this development raises many ethically relevant questions, so far mHealth has received only little attention in medical ethics. This paper provides an overview of bioethical (...) issues raised by mHealth and aims to draw scholarly attention to the ethical significance of its promises and challenges. We show that the overly positive promises of mHealth need to be nuanced and their desirability critically assessed. Finally, we offer suggestions to bioethicists to engage with this emerging trend in healthcare to develop mHealth to its best potential in a morally sound way. (shrink)
Current research in molecular epidemiology uses biomarkers to model the different disease phases from environmental exposure, to early clinical changes, to development of disease. The hope is to get a better understanding of the causal impact of a number of pollutants and chemicals on several diseases, including cancer and allergies. In a recent paper Russo and Williamson address the question of what evidential elements enter the conceptualisation and modelling stages of this type of biomarkers research. Recent research in causality has (...) examined Ned Hall’s distinction between two concepts of causality: production and dependence. In another recent paper, Illari examined the relatively under-explored production approach to causality, arguing that at least one job of an account of causal production is to illuminate our inferential practices concerning causal linking. Illari argued that an informational account solves existing problems with traditional accounts. This paper follows up this previous work by investigating the nature of the causal links established in biomarkers research. We argue that traditional accounts of productive causality are unable to provide a sensible account of the nature of the causal link in biomarkers research, while an informational account is very promising. (shrink)
In recent years, several authors have argued that the desirability of novel technologies should be assessed early, when they are still emerging. Such an ethical assessment of emerging technologies is by definition focused on an elusive object. Usually promises, expectations, and visions of the technology are taken as a starting point. As Nordmann and Rip have pointed out in a recent article, however, ethicists should not take for granted the plausibility of such expectations and visions. In this paper, we explore (...) how the quality of expectations on emerging technologies might be assessed when engaging in a reflection on the desirability of emerging technologies. We propose that an assessment of expectations’ plausibility should focus on statements on technological feasibility, societal usability, and desirability of the expected technology. Whereas the feasibility statement and, to a lesser extent, the usability statements are frequently quite futuristic, the claims on desirability, by contrast, often display a conservative stance towards the future. Assessing the quality of expectations and visions on behalf of emerging technologies requires, then, a careful and well-directed use of both skepticism and imagination. We conclude with a brief overview of the tools and methods ethicists could use to assess claims made on behalf of emerging technologies and improve the ethical reflection on them. (shrink)
In the last decades, Systems Biology (including cancer research) has been driven by technology, statistical modelling and bioinformatics. In this paper we try to bring biological and philosophical thinking back. We thus aim at making diferent traditions of thought compatible: (a) causality in epidemiology and in philosophical theorizing—notably, the “sufcient-component-cause framework” and the “mark transmission” approach; (b) new acquisitions about disease pathogenesis, e.g. the “branched model” in cancer, and the role of biomarkers in this process; (c) the burgeoning of omics (...) research, with a large number of “signals” and of associations that need to be interpreted. In the paper we summarize frst the current views on carcinogenesis, and then explore the relevance of current philosophical interpretations of “cancer causes”. We try to ofer a unifying framework to incorporate biomarkers and omic data into causal models, referring to a position called “evidential pluralism”. According to this view, causal reasoning is based on both “evidence of diference-making” (e.g. associations) and on “evidence of underlying biological mechanisms”. We conceptualize the way scientists detect and trace signals in terms of information transmission, which is a generalization of the mark transmission theory developed by philosopher Wesley Salmon. Our approach is capable of helping us conceptualize how heterogeneous factors such as micro and macro-biological and psycho-social—are causally linked. This is important not only to understand cancer etiology, but also to design public health policies that target the right causal factors at the macro-level. (shrink)
Proceduralists hold that democracy has a non-instrumental value consisting in the ideal of equality incorporated by fair procedures. Yet, proceduralism does not imply that every outcome of a democratic procedure is fair per se. In the non-ideal setting of constitutional democracies, government and legislative decisions may result from factional conflicts, or depend on majoritarian dictatorships. In these circumstances, Supreme Courts provide a guardianship against contested outcomes by enacting mechanisms of checks and balances, constitutional interpretation and judicial review. Yet, in virtue (...) of this role, Supreme Courts exercise a form of epistocratic power, which rests at odds with the ideal of political equality. We analyse this dilemma and propose a solution, arguing that Supreme Courts do not run unrestrained decisions; rather their decisional power is bound to the protective function of fundamental rights, in which their constitutional mandate ultimately consists. (shrink)
Based on a study of the oil and gas industry, this article examines how physical impacts of climate change become events that firms notice and interpret in a way that leads to an active response to adapt to these impacts. Theoretically, the study draws on the attention-based view to highlight the potential biases that might occur as a consequence of firms’ preconceptions as well as organizational structure and context. In the empirical analysis, the article derives a model that explains the (...) influence of the attentional process on how awareness and perceived vulnerability lead firms to adopt either routine or non-routine measures to adapt to climate change. The article also explores the relevant underlying factors of awareness and perceived vulnerability. The findings suggest that how firms channel attention to climate events has a distinctive influence on the measures firms take to cope with physical impacts. The article concludes with implications for research, management practice, and policy makers. (shrink)
In a recent article in this journal, Federica Russo and Jon Williamson argue that an analysis of causality in terms of probabilistic relationships does not do justice to the use of mechanistic evidence to support causal claims. I will present Ronald Giere's theory of probabilistic causation, and show that it can account for the use of mechanistic evidence (both in the health sciences—on which Russo and Williamson focus—and elsewhere). I also review some other probabilistic theories of causation (of Suppes, (...) Eells, and Humphreys) and show that they cannot account for the use of mechanistic evidence. I argue that these theories are also inferior to Giere's theory in other respects. (shrink)
This article focuses on the assessment of mechanistic relations with specific attention to medicine, where mechanistic models are widely employed. I first survey recent contributions in the philosophical literature on mechanistic causation, and then take issue with Federica Russo and Jon Williamson’s thesis that two types of evidence, probabilistic and mechanistic, are at stake in the health sciences. I argue instead that a distinction should be drawn between previously acquired knowledge of mechanisms and yet-to-be-discovered knowledge of mechanisms and that (...) both probabilistic evidence and manipulation are essential with respect to newly discovered mechanisms. (shrink)
In this paper, I will critically consider Clark and Chalmers’ hypothesis of the «extended mind» in order to sketch a possible phenomenological account of active externalism, by following three steps: I will consider Clark and Chalmers’ hypothesis within the broader context of the so-called «physical symbol system hypothesis» theorized by Herbert A. Simon; I will connect the problem of the «extended mind» to that of the «extended self», with particular regard to the context of digitalization; I will take into account (...) an explanatory dimension that has been fundamentally underrated by externalist theories: the dimension of the human body and its relationship to mind, which I understand from a phenomenological perspective. My ultimate goal is to show how phenomenology could provide the missing theoretical framework to develop a more complex and comprehensive theory of the extended self. (shrink)
The subjective experience of time in depression has been described to be altered in complex ways, with sensations of particular slowness, delay or stillness being the most often named articulations. However, the attempts to provide empirical evidence to the phenomenon of “time slowing down in depression” have resulted in inconsistent findings. In consequence, the overall claim that depressive time somehow differs from ordinary time has often been discarded as unfounded. The article argues against such conclusion, contending that the described ambiguity (...) might be caused by the methods employed to assess the phenomenon under observation. In the first part of the article, a reconceptualization of the experience of time in depression is proposed on the grounds of classic and contemporary phenomenological psychiatry. This leads to identify the essential features of depressive time as described both in clinical and philosophical contexts. In the second part, a critique of the existing methods of time perception assessment is conducted, with a specific focus on duration estimation and time passage perception tasks. The above-mentioned core features serve as guidelines in discussing to what degree such methods fit the phenomenon at stake. Finally, an alternative and innovative method is put forward, that might not only help to explore the scope of existing methods but might itself present an alternative to such: the micro-phenomenological interview. (shrink)
This article contributes to the literature on legitimacy by highlighting its paradox and constraints. While an optimal level of legitimacy-seeking behaviours may be necessary for organizational effectiveness, an excessive focus on legitimacy may lead to stakeholder mismanagement and have the opposite effect. These insights emerged from a longitudinal qualitative study of large-scale changes in public-sector health care in a Canadian province (1994-2002). In 1994, subordinate health care organizations underwent government-driven reforms to promote market-based logics of efficiency and cost reduction. Initial (...) years post reforms were characterized by a singular focus on government-driven priorities and inattention to other stakeholders. However, instead of giving benefits of legitimacy, these behaviours led to anger and activism from non-institutional stakeholders such as staff and community due to a decline in quality and patient satisfaction. Eventually, greater attention to stakeholder concerns ended the stand-off. These findings also elaborate Suchman's (Academy of Management Review 20(3), 571-610, 1995) framework on legitimacy and explain that legitimacy may occur for reasons other than institutionalization of values and be temporary in nature. (shrink)
Why do ideas of how mechanisms relate to causality and probability differ so much across the sciences? Can progress in understanding the tools of causal inference in some sciences lead to progress in others? This book tackles these questions and others concerning the use of causality in the sciences.
A shared problem across the sciences is to make sense of correlational data coming from observations and/or from experiments. Arguably, this means establishing when correlations are causal and when they are not. This is an old problem in philosophy. This paper, narrowing down the scope to quantitative causal analysis in social science, reformulates the problem in terms of the validity of statistical models. Two strategies to make sense of correlational data are presented: first, a 'structural strategy', the goal of which (...) is to model and test causal structures that explain correlational data; second, a 'manipulationist or interventionist strategy', that hinges upon the notion of invariance under intervention. It is argued that while the former can offer a solution the latter cannot. (shrink)
This paper deals with causal analysis in the social sciences. We first present a conceptual framework according to which causal analysis is based on a rationale of variation and invariance, and not only on regularity. We then develop a formal framework for causal analysis by means of structural modelling. Within this framework we approach causality in terms of exogeneity in a structural conditional model based which is based on (i) congruence with background knowledge, (ii) invariance under a large variety of (...) environmental changes, and (iii) model fit. We also tackle the issue of confounding and show how latent confounders can play havoc with exogeneity. This framework avoids making untestable metaphysical claims about causal relations and yet remains useful for cognitive and action-oriented goals. (shrink)
Causal analysis in the social sciences takes advantage of a variety of methods and of a multi-fold source of information and evidence. This pluralistic methodology and source of information raises the question of whether we should accordingly have a pluralistic metaphysics and epistemology. This paper focuses on epistemology and argues that a pluralistic methodology and evidence dont entail a pluralistic epistemology. It will be shown that causal models employ a single rationale of testing, based on the notion of variation. Further, (...) I shall argue that this monistic epistemology is also involved in alternative philosophical theories of causation. (shrink)