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In one view, scientific explanation depends on laws, and generalizations in psychiatry let us explain the symptoms of individual patients. These generalizations might themselves be explained by being subsumed under further generalizations. Insofar as individual, idiosyncratic aspects of the patient’s behavior cannot be subsumed under laws, they cannot be scientifically explained. In contrast, though, the psychiatric interview, one of the basic data points for psychiatry, may include the therapist using idiosyncratic details of the patient’s delusions and working through the way in which one stage in the patient’s psychological history generated another. This involves understanding how one thing caused another, but there seems to be no subsumption under laws. Campbell proposes we think of causal explanation in psychiatry as not solely law based but as giving weight to the idea of the patient’s illness over time as a single construct, unfolding in accordance with general patterns. The role of generalizations in psychiatry is to define those constructs that develop over time. Nonetheless, the idiosyncratic detailed causal development of those progressions can be understood at a subjective level by the therapist following the patient’s line of thought and feeling as the disorder develops.
This chapter considers the concept of proximal and distal causes in various health science fields and common reference to the “proximal–distal model” of disease causation. In many cases, this model is used to capture the interaction of social and biological factors, with social factors as distal causes and biological factors as proximal causes. The authors examine Krieger’s (2008) criticism of this framework and suggestion that proximal–distal language confuses causal thinking, reasoning, and distinctions in health science domains. While Krieger (2008) has recommended the elimination of language of proximal and distal causes, Ross and Kendler argue for another alternative, specifically that while the proximal–distal model captures some etiological scenarios, it should not be applied to all cases. They examine three ways in which social and biological causes lead to health outcomes and argue for the value (and possibility) of clear notions of proximal and distal causes.
So far, we have focused on predicting an outcome Y from a set of features X. In this chapter, we turn to causal inference where we ask: What would Y be if we set X to a particular value x? This question concerns the distribution of the outcome Y after some hypothetical intervention. Answering such causal questions requires new tools and stronger assumptions than prediction.
In two studies of attitudes and beliefs of American adults (N = 482), there is a substantial positive correlation between pro-natural and pro-sustainability, a weak negative correlation between pro-technology and pro-natural, and a moderate positive or negative correlation between pro-technology and pro-sustainability, depending on the way technology is framed. Participants also believe strongly that natural policies are ‘good for’ sustainability. Liberals are substantially more pro-sustainable than conservatives, but both political groups are strongly pro-natural. Most respondents explicitly believe that organic farming is ‘good for sustainability’, and many believe that genetically engineered foods are not good for sustainability. On open-ended explanations for their beliefs about positive linkages between natural and sustainability, respondents’ reasons are frequently vague, very generic, factually incorrect, or irrelevant to sustainability (e.g., claims that genetically modified organisms are unnatural or bad for human health). Respondents are inclined to believe in a positive association, often a causal link, between natural and sustainable, both concepts they favor. Additional results from a British adult sample show that 65% agree with the statement: ‘Generally, more natural things cause more sustainable outcomes.’ This may be an example of causal inference supported by congruent valences.
Causes must occur before effects. So causal relations are irreflexive and asymmetric. Causes are also transitive-along-causal-pathways in that along a given causal pathway, to causally contribute to something that causally contributes to an effect is to causally contribute to that effect. This may generate counterintuitive judgement where a feature causally contributes both to an effect occurring and to it not occurring along different pathways. But these results should be accepted, we argue, because it is often important to know both are occurring (even though at the cost of complicating relations between causal contributions and legal or moral responsibility). Notational conventions are outlined.
Causation is arguably the most complex of the elements of negligence. It is covered in three sections in this chapter. Section 13.1 covers the criteria for identifying a recognisable harm and the nature of causation in tort law – what type of explanation does it look for? Section 13.2 covers the evolution of the methods adopted by Australian courts to identify factual causation. Section 13.3 discusses the difficult normative challenge of putting a limit on the extent (or ‘scope’) of a defendant’s liability.
Because this area of the law of negligence is extremely complex, the chapter includes two sets of ‘Summary points’ and two ‘Test your understanding’ features. At the end of the chapter, you will find an appendix with the provisions on causation adopted in the civil liability legislation in each state and territory.
This book shows how to warrant claims about causation in a particular place at a particular time, ‘here and now’, ‘there and then’ – ‘singular’ causation. Good warrant matters if your efforts to affect change are to work. But you cannot properly warrant that a relation obtains without understanding what that relation is. To this end, Part 1 offers a set of features that characterise singular causal relations. These make up a ‘thick’ theory of singular causation, offering far more information than the usual ‘thin’ definitions, like those based on counterfactual or probabilistic dependence, difference-making or production. Details about how causal processes work play a central role here. This theory then provides the grounds for, in Part 2, identifying and systemising what kinds of evidence can warrant singular causal claims. Part 3 shows how this account may be used in practice, using examples from child protection.
Causality extends across many areas of psychiatry, from the purely conceptual and philosophical to the interpretation of genetic, epidemiological, and neurobiological work. This book offers new, interdisciplinary perspectives on causation in psychopathology, exploring it in relation to the latest scientific and philosophical advances, as well as through psychiatric research and practice. It features contributions from many internationally known psychologists, clinical researchers, and philosophers of science actively studying the phenomenology of mental illness. The chapters are organized into four sections: The Causes Themselves; Causes, Genes, and Neuroscience; Causality and Nosology; and Causality and Phenomenology. Each main chapter is preceded by a brief introduction written by the editors and a commentary by another author in this volume. By taking a multidisciplinary approach spanning psychiatry, philosophy, and psychology, the book is written to be accessible for members of all three disciplines.
Among the key constructs of biomedical research (random error [chance], risk, and bias in the search for causation), bias (or systemic error) is the most formidable source of inefficient and wasteful research, leading to incorrect or exaggerated results. The cause of most disease is complex, owed to many inherent (genetic) and environmental risk factors. It is in studying the interplay of these, each incurring modest risk, that many biases come into play.
In this book, Nancy Cartwright, Eileen Munro and John Pemberton introduce a new method for assessing whether plans for how to affect change produced their intended outcome, or whether they are likely to do so in the future. The method offers the prospect of a step-change improvement in the accuracy of policy assessments, based on a new pluralistic theory of causation. This theory, which goes beyond existing ones, synthesises seven tried and tested familiar component accounts so as to license identification and systematisation of a wide range of evidence types. The authors outline well-grounded improvements to methods for policy development and assessment by the systematic use of real-world examples, including notably that of child welfare. Their book will be valuable for the burgeoning audience concerned with the critical issue of how to develop and implement policies that work across domains from welfare to education and economics to medicine.
The criminal law comprises a state response to wrongdoing on the part of the population, proscribing conduct that lies outside of the normal expected conduct of citizens. As such, the criminal law seeks to regulate socially transgressive or unacceptable (criminal) behaviour.In providing a framework of rules to address these behaviours, the criminal law actually comprises two discrete branches: substantive criminal law and procedural criminal law. This chapter is divided into two main sections. Section 1.2 looks at the nature of the criminal law; its purposes, limits and sources. This part examines a number of important issues, such as the purposes of the criminal law, the legitimate limits on its scope and its sources. Section 1.3 examines the notion of criminal responsibility, looking at who may be held liable for a criminal offence and the principles that underlie the state’s obligations in proving an offence.
This Element discusses the roles played by the idea of God in René Descartes' epistemology, physics, and metaphysics, and problems arising from those roles. Section 1 gives an overview of Descartes' life, works, and reception, focusing on the extent to which he is a religious or a secular thinker. Section 2 focuses on the problem of the Cartesian circle generated by his claim that all human knowledge depends on knowledge of God. Section 3 explains the role of God in Descartes' physics and addresses problems concerning how God's causal activity relates to that of creatures, including how divine providence fits with human freedom and how voluntary bodily actions are consistent with the laws of nature. Section 4 explores Descartes' claim that God freely created the eternal truths, noting its implications for his theory of modality.
This chapter uses text from throughout Aquinas’s corpus to reconstruct the main elements of his views on causation. Causation for Aquinas is a type of ontological dependence. Following Aristotle, Aquinas recognizes four species of causes. The chapter focuses in particular on efficient causation since this is the type of cause that most closely corresponds to what contemporary philosophers mean by a “cause.” Aquinas thinks that efficient causes act through active casual powers to bring about their effects. To highlight the philosophical significance of Aquinas’s views, the chapter compares Aquinas’s views on efficient causation with two prominent contemporary theories of causation, Humeanism and Nomicism.
Obstetrics claims accounted for 62% of all clinical claims by value received in the year, highlighting the underlying impact of the financial costs of maternity indemnity payments, alongside the impact of harm on patients, families and healthcare staff. CTG misinterpretation contributes substantially to claims pertaining to mismanagement of labour and cerebral palsy. Medical negligence involves establishing causation and liability. Presence of abnormal CTG, low Apgar score, low cord arterial pH, assisted ventilation, admission to neonatal intensive care, moderate or severe neonatal encephalopathy and subsequent neurological damage point to asphyxia as a possible cause. However, several intrinsic fetal disorders cause neurological disability and an abnormal CTG may have been coincidental. Causation is best determined by neuroradiologist and paediatric neurologist based on the areas of scarring within the brain on MRI. The thalamus, basal ganglia injury show scarring, reflecting acute profound hypoxia while prolonged partial hypoxia results in bilateral cortical atrophy. Expert opinion is requested to judge whether the care provided fell short of what was expected (Bolam principle).
In this chapter, our analysis will focus on the causative/inchoative alternation within Basque. Firstly, we will concentrate on the diverse root types that generate causative/inchoative alternating verbs. As we will demonstrate, most verbs that participate in the causative/inchoative alternation appear to derive from other categories, consisting of either (i) a PROPERTY-naming root, (ii) a root combined with the adverbializer morpheme -ka, or (iii) a root paired with an allative or instrumental adposition. Secondly, we will investigate the semantic classes of (derived and non-derived) verbs that exhibit the causative/inchoative alternation and examine their relation to the meaning of causation. Thirdly, we will analyze verbs exclusively exhibiting either the causative or inchoative variant, along with the specific contexts enabling some of them to alternate. Finally, we will explore the metaphorical meaning of some verbs and observe how these meanings facilitate their transitive use.
This chapter considers induction, deduction and abduction as methods of obtaining scientific knowledge. The introductory section again ends by highlighting that there is no single method, and refers to claims that scientific reasoning uses various heuristics or rules of thumb based on the specific approach and the background information we have, and that we should recognise that this can introduce various errors of reasoning: by being aware of the potential for making these errors, we are better able to guard against making them. The bulk of the chapter then looks at specific logical fallacies, using neuroscience examples to illustrate them. These include ad hoc reasoning; begging the question; confusing correlation for causation; confirmation and disconfirmation biases; false dichotomies; false metaphors; the appeal to authority, tradition and emotion; the mereological fallacy; the naturalistic fallacy; and straw man arguments.
A fit between theory and method is essential in theory – guided empirical research. Achieving such a fit in process tracing is less straightforward than it may seem at first glance. There are two different types of processes that one can theorise and, consequently, two varieties of process tracing. The two varieties are introduced by empirical examples and distinguished with respect to four characteristics. Failure to determine the form of process tracing at hand may lead to invalid causal inferences.
Physicalism is often characterized by the slogan that “There is nothing over and above the physical.” Thus, making physicalism precise requires making “the physical” precise. In this paper I advance one such way of making the physical precise and in doing so defend a new approach to defining the physical. I argue that a property is physical iff it belongs to the largest strong-component of a causal network that includes exemplary physical properties. This avoids the triviality-problem faced by physics-based accounts and withstands an important argument against accounts that are not physics-based.
Causal loops are circular chains of causally related events: each link causes others which in turn cause it. Not only are causal loops widely accepted as coherently conceivable; some are also provably self-consistent as well as seeming genuinely possible according to currently accepted laws of physics. On the common assumption that causation is transitive, each link in any causal loop would wind up causing itself; but the idea of self-causation is pretty much universally rejected as incoherent. A popular attempt to resolve this dilemma distinguishes “direct” from “indirect” self-causation: the direct variety, which operates without the aid of causal intermediaries, is claimed to be impossible even if the indirect variety isn’t. I argue against this attempted resolution on the grounds that causal loops themselves, unlike the links that compose them, should be viewed as directly self-caused; so indirect self-causation via causal loop is possible only if direct self-causation is as well. An important consequence is the availability of groundbreaking solutions to several longstanding puzzles in philosophy of mind.
The Lydian logos is indebted to tragedy for many features: its large-scale narrative structure and (in its constituent stories) small-scale episodic structure, narrative motifs and themes, even vocabulary. However, Herodotus also diverges from his tragic sources in ways that clarify the nature of his own inquiries. The source of the constraint under which Gyges makes his fateful decisions is not divine (as in Aeschylus), but the will of his king and queen, highlighting a characteristic feature of Eastern monarchy. In the final sentence of the Atys/Adrastus story, the distinctive ethnographic formula that describes Adrastus’ suicidal thoughts marks him as a uniquely Herodotean tragic hero. Croesus’ pyre scene contains both an echo of the Aeschylean Cassandra (the king’s dramatic breaking of his silence) and a defining feature of Herodotean historiē: the citation of a Lydian source for Apollo’s epiphany demonstrates the critical attitude that Herodotus brings to popular and poetic traditions.