Evidence-Based Medicine has little consideration for mechanisms and philosophers of science and medicine have recently made pleas to increase the place of mechanisms in the medical evidence hierarchy. However, in this debate the notions of mechanisms seem to be limited to 'mechanistic processes' and 'complex-systems mechanisms,' understood as 'componential causal systems'. I believe that this will not do full justice to how mechanisms are used in biological, psychological and social sciences and, consequently, in a more biopsychosocial approach to medicine. Here, (...) I propose, following (Kuorikoski, 2009), to pay more attention to 'abstract forms of interaction' mechanisms. The present work scrutinized review articles on depression and medically unexplained pain, which are considered to be of multifactorial pathogenesis, for their use of mechanisms. In review articles on these disorders there seemed to be a range of uses between more 'abstract forms of interaction' and 'componential causal system' mechanisms. I therefore propose to expand the notions of mechanisms considered in medicine to include that of more 'abstract forms of interaction' to better explain and manage biopsychosocial disorders. (shrink)

This chapter describes a philosophical approach to theorizing justice, mapping out some main strands of the tradition leading up to contemporary political philosophy. We first briefly discuss what distinguishes a philosophical approach to justice from other possible approaches to justice, by explaining the normative focus of philosophical theories of justice – that is, a focus on questions not about how things actually are, but about how things ought to be. Next, we explain what sorts of methods philosophers use to justify (...) theories of justice. Following this, in the longest section, we highlight major questions about justice that have drawn the attention of philosophers, and indicate how competing conceptions of justice have arisen from differing answers to these questions. The goal here is not to answer but to elucidate some of the larger questions about justice, as well as to establish a framework for understanding and distinguishing different kinds of claims about justice and some of the relations between them. (shrink)

This chapter describes how philosophical theorizing about justice can be connected with empirical research in the social sciences. We begin by drawing on some received distinctions between ideal and non-ideal approaches to theorizing justice along several different dimensions, showing how non-ideal approaches are needed to address normative aspects of real-world problems and to provide practical guidance. We argue that there are advantages to a transitional approach to justice focusing on manifest injustices, including the fact that it enables us to set (...) aside some reasonable disagreements about justice. The ‘bottom-up’ approach we advocate, for which we borrow Wolff’s term ‘real-world political philosophy’, is an empirically-informed normative analysis that attends to specific, identifiable injustices, and thus is partial, though not isolationist. We illustrate our approach by considering how different models of the nature of disability suggest different kinds of remedy for injustices faced by persons living with disabilities. We reflect on the nature and significance of vulnerabilities, and we assess the role of public opinion in normative theorizing, suggesting a particular significance for the opinions and experiences of marginalized groups. We finally reflect on the relevance of European legal and institutional frameworks for theorizing justice in Europe. (shrink)

Numerous articles in top IS journals note as a limitation and lack of generalizability that their findings are specific to a certain type of technology, culture, and so on. We argue that this generalizability concern is about limited scope. The IS literature notes this preference for generalizability as a characteristic of good science and it is sometimes confused with statistical generalizability. We argue that such generalizability can be in conflict with explanation or prediction accuracy. An increase in scope can decrease (...) explanation or prediction accuracy. Thus, in sciences such as cancer research, where explanation and prediction accuracy are highly valued, the cancer accounts have become increasingly narrower. IS thinking has not yet benefitted from these considerations. Whether generalizability is valued should be linked with the research aims. If the aim is practical applicability through explanation or prediction accuracy, then “limited” generalizability could be a strength rather than a weakness. (shrink)

Justice and Vulnerability in Europe contributes to the understanding of justice in Europe from both a theoretical and empirical perspective. It shows that Europe is falling short of its ideals and justice-related ambitions by repeatedly failing its most vulnerable populations. Interdisciplinary and expert contributors search for the explanations behind these failing ambitions, through analysis of institutional discourse, legal debate and practice and the daily experiences of vulnerable populations, such as those dependent on social care and welfare. By setting tentative criteria (...) for justice as 'participatory parity', in line with the insights of the political philosopher Nancy Fraser, the book challenges European policy makers to re-define redistributive, recognitive and representative justice. (shrink)

This volume argues for a new image of science that understands both natural and social phenomena to be the product of mechanisms, casting the work of science as an effort to understand those mechanisms. Glennan offers an account of the nature of mechanisms and of the models used to represent them in physical, life, and social sciences.

This paper discusses the epistemic import of highly abstract and simplified theoretical models using Thomas Schelling’s checkerboard model as an example. We argue that the epistemic contribution of theoretical models can be better understood in the context of a cluster of models relevant to the explanatory task at hand. The central claim of the paper is that theoretical models make better sense in the context of a menu of possible explanations. In order to justify this claim, we introduce a distinction (...) between causal scenarios and causal mechanism schemes. These conceptual tools help us to articulate the basis for modelers’ intuitive confidence that their models make an important epistemic contribution. By focusing on the role of the menu of possible explanations in the evaluation of explanatory hypotheses, it is possible to understand how a causal mechanism scheme can improve our explanatory understanding even in cases where it does not describe the actual cause of a particular phenomenon. (shrink)

In this paper, we offer an introduction to case study research in the social sciences. We begin with a discussion of the definition of case study research. Next, we point to various purposes that case study research may serve in the social sciences and then turn to outline the main philosophical issues raised by case study research. Finally, we briefly present the papers in this special issue.

Generalization from a case study is a perennial issue in the methodology of the social sciences. The case study is one of the most important research designs in many social scientific fields, but no shared understanding exists of the epistemic import of case studies. This article suggests that the idea of mechanism-based theorizing provides a fruitful basis for understanding how case studies contribute to a general understanding of social phenomena. This approach is illustrated with a re- construction of Espeland and (...) Sauder's case study of the effects of rankings on US legal education. On the basis of the reconstruction, it is argued that, at least with respect to sociology, the idea of mechanism-based theorizing captures many of the generalizable elements of case studies. (shrink)

This article discusses agent-based simulation (ABS) as a tool of sociological understanding. I argue that agent-based simulations can play an important role in the expansion of explanatory understanding in the social sciences. The argument is based on an inferential account of understanding (Ylikoski 2009, Ylikoski & Kuorikoski 2010), according to which computer simulations increase our explanatory understanding by expanding our ability to make what-if inferences about social processes and by making these inferences more reliable. The inferential account also suggests a (...) number of ways in which the use of simulation methodology might give rise to illusory understanding. The structure of the article is as .. (shrink)

This article compares causal and constitutive explanation. While scientific inquiry usually addresses both causal and constitutive questions, making the distinction is crucial for a detailed understanding of scientific questions and their interrelations. These explanations have different kinds of explananda and they track different sorts of dependencies. Constitutive explanations do not address events or behaviors, but causal capacities. While there are some interesting relations between building and causal manipulation, causation and constitution are not to be confused. Constitution is a synchronous and (...) asymmetric relation between relata that cannot be conceived as independent existences. However, despite their metaphysical differences, the same key ideas about explanation largely apply to both. Causal and constitutive explanations face similar challenges (such as the problems of relevance and explanatory regress) and both are in the business of mapping networks of counterfactual dependence—i.e. mechanisms—although the relevant counterfactuals are of a different sort. In the final section the issue of developmental explanation is discussed. It is argued that developmental explanations deserve their own place in taxonomy of explanations, although ultimately developmental dependencies can be analyzed as combinations of causal and constitutive dependencies. Hence, causal and constitutive explanation are distinct, but not always completely separate forms of explanation. (shrink)

Ian Hacking uses the looping effect to describe how classificatory practices in the human sciences interact with the classified people. While arguably this interaction renders the affected human kinds unstable and hence different from natural kinds, realists argue that also some prototypical natural kinds are interactive and human kinds in general are stable enough to support explanations and predictions. I defend a more fine-grained realist interpretation of interactive human kinds by arguing for an explanatory domain account of the looping effect. (...) First, I argue that knowledge of the feedback mechanisms that mediate the looping effect can supplement, and help to identify, the applicability domain over which a kind and its property variations are stably explainable. Second, by applying this account to cross-cultural case studies of psychiatric disorders, I distinguish between congruent feedback mechanisms that explain matches between classifications and kinds, and incongruent feedback mechanisms that explain mismatches. For example, congruent mechanisms maintain Western auditory experiences in schizophrenia, whereas exporting diagnostic labels inflicts incongruence by influencing local experiences. Knowledge of the mechanisms can strengthen explanatory domains, and thereby facilitate classificatory adjustments and possible interventions on psychiatric disorders. (shrink)

Theories of how religion shapes business tend to focus on dominant religious institutions. What happens in the case of minority religions, where the alignment of religion with other dominant institutions may be weak at best? To answer this question, I first develop an emergentist account of religion, explaining how macro-level conditioning shapes meso- and micro-level interactions in religious contexts, leading to either structural change or stasis in business contexts. I illustrate this account by examining how Roman Catholicism as a minority (...) religion shapes corporate capitalism in two cities: Bangalore, India, and Dubai, UAE. Drawing on in-depth interviews (N=200) and 12 months of participant observation, I show how countervailing mechanisms create both assets and liabilities for Catholic professionals’ success in workplaces, contributing to morphostasis rather than change. I argue that such processes cannot be adequately understood without specifying their “macrofoundations,” and identify corresponding macro-level influences at global and local levels. By specifying such macro-micro linkages, this article improves our understanding of how religion shapes business. (shrink)

Deliberative democracy started out as an ideal for mass democracy. Lately, however, its large-scale ambitions have mostly been shelved. This article revivifies the ideal of mass deliberative democracy by offering a clear mechanism by which everyone in the community can be included in the same conversation. The trick is to make use of people’s overlapping social communicative networks through which informal deliberative exchanges already occur on an everyday basis. Far from being derailed by threats of polarization, echo chambers, and motivated (...) reasoning, informal networked deliberation can indeed put everyone in touch, directly or indirectly, with everyone else. (shrink)

The emergence of large-scale social media systems, such as Wikipedia, Facebook, and Twitter, has given rise to a new multi-disciplinary effort based around the concept of social machines. For the most part, this research effort has limited its attention to the study of Web-based systems. It has also, perhaps unsurprisingly, tended to highlight the social scientific relevance of such systems. The present paper seeks to expand the scope of the social machine research effort to encompass the Internet of Things. One (...) advantage of this expansion is that it helps to reveal some of the links between the science of social machines and the sciences of the mind. A second advantage is that it furthers our conceptual understanding of social machines and supports the quest to derive a philosophically-robust definition of the term “social machine.” The results of the present analysis suggest that social machines are best conceived as systems in which a combination of social and technological elements play a role in the mechanistic realization of system-level phenomena. The analysis also highlights the relevance of cognitive science and the philosophy of mind to our general understanding of systems that transcend the cyber, physical, and social domains. (shrink)

Examples of extended cognition typically involve the use of technologically low-grade bio-external resources (e.g., the use of pen and paper to solve long multiplication problems). The present paper describes a putative case of extended cognizing based around a technologically advanced mixed reality device, namely, the Microsoft HoloLens. The case is evaluated from the standpoint of a mechanistic perspective. In particular, it is suggested that a combination of organismic (e.g., the human individual) and extra-organismic (e.g., the HoloLens) resources form part of (...) a common mechanism that realizes a bona fide cognitive routine. In addition to demonstrating how the theoretical resources of neo-mechanical philosophy might be used to evaluate extended cognitive systems, the present paper illustrates one of the ways in which mixed reality devices, virtual objects (i.e., holograms), and online (Internet-accessible) computational routines might be incorporated into human cognitive processes. This, it is suggested, speaks to the recent interest in mixed/virtual reality technologies across a number of disciplines. It also introduces us to issues that cross-cut disparate fields of philosophical research, such as the philosophy of science and the philosophy of technology. (shrink)

Social machines are a prominent focus of attention for those who work in the field of Web and Internet science. Although a number of online systems have been described as social machines, there is, as yet, little consensus as to the precise meaning of the term “social machine.” This presents a problem for the scientific study of social machines, especially when it comes to the provision of a theoretical framework that directs, informs, and explicates the scientific and engineering activities of (...) the social machine community. The present paper outlines an approach to understanding social machines that draws on recent work in the philosophy of science, especially work in so-called mechanical philosophy. This is what might be called a mechanistic view of social machines. According to this view, social machines are systems whose phenomena are explained via an appeal to socio-technical mechanisms. We show how this account is able to accommodate a number of existing attempts to define the social machine concept, thereby yielding an important opportunity for theoretical integration. (shrink)

Positivism has been used to establish a standard that Information Systems (IS) research must meet to be scientific. According to such positivistic beliefs in IS, scientific research should: 1) be generalizable, 2) focus on stable independent variables, 3) have certain ontological assumptions, and 4) use statistical or quantitative methods rather than qualitative methods. We argue that logical positivist philosophers required none of these. On the contrary, logical positivist philosophers regarded philosophizing in general and ontological considerations in particular as nonsense. Moreover, (...) the positivists’ preferred empirical research method was not a survey, but rather a qualitative observation recorded by field notes. In addition, positivist philosophers required neither statistical nor nonstatistical generalizability. At least some positivist philosophers also acknowledged the study of singular cases as being scientific. Many research orientations (e.g., single-setting research, examination of change, qualitative research) that are deemed “unscientific” by positivism in IS seem to be “scientific” (in principle) according to logical positivism. In turn, generally speaking, what has been justified as scientific by positivism in IS (e.g., requirements of statistical or nonstatistical generalizability, surveys, independent variables, ontological views) were either not required by logical positivists or were regarded as nonsensical by logical positivists. Furthermore, given that positivism is sometimes associated (or confused) with logical empiricism in IS, we also briefly discuss logical empiricism. Finally, realizing that certain influential, taken-forgranted assumptions that underlie IS research are unwarranted could have ground-breaking implications for future IS research. (shrink)

In light of recent criticisms by Woodward (2017) and Rescorla (2018), we examine the relationship between mechanistic explanation and phenomenological laws. We disambiguate several uses of the phrase “phenomenological law” and show how a mechanistic theory of explanation sorts them into those that are and are not explanatory. We also distinguish the problem of phenomenological laws from arguments about the explanatory power of purely phenomenal models, showing that Woodward and Rescorla conflate these problems. Finally, we argue that the temptation to (...) pit mechanistic and interventionist theories of explanation against one another occludes important and scientifically relevant research questions. (shrink)

Evidential Pluralism maintains that in order to establish a causal claim one normally needs to establish the existence of an appropriate conditional correlation and the existence of an appropriate mechanism complex, so when assessing a causal claim one ought to consider both association studies and mechanistic studies. Hitherto, Evidential Pluralism has been applied to medicine, leading to the EBM+ programme, which recommends that evidence-based medicine should systematically evaluate mechanistic studies alongside clinical studies. This paper argues that Evidential Pluralism can also (...) be fruitfully applied to the social sciences. In particular, Evidential Pluralism provides (i) a new approach to evidence-based policy; (ii) an account of the evidential relationships in more theoretical research; and (iii) new philosophical motivation for mixed methods research. The application of Evidential Pluralism to the social sciences is also defended against two objections. (shrink)

The “return of the state” as an economic actor has left scholars at a lack of theoretical tools to capture the characteristics of state-dominated business systems. This is reflected in the fact that any type of state intervention in the economy is too easily qualified as a sign of “authoritarian capitalism,” which has led scholars to lump together countries as diverse as China, Singapore, and Norway under that heading. Rather than considering any type of state intervention in the economy as (...) authoritarian, we propose a more sophisticated conceptualization, which distinguishes two boundaries between the public and the private domains and conceives of the “return of the state” as the erosion of one or both of them. This conceptualization allows us to clearly distinguish a shift from an ideal-typical market-based “regulatory capitalism” to “state capitalism” or “authoritarian capitalism,” respectively. We use interview data with business leaders in an extreme case of the return of the state to identify the nature of the mechanisms by which an authoritarian government erodes these private-public divides. We argue that a focus on these constitutive mechanisms of the erosion of private-public divides allows us to define “authoritarian capitalism” in a way that makes it a useful tool to understand contexts beyond the Chinese case in which it first emerged. (shrink)

This paper argues for theoretical modeling and model-construction as central types of activities that philosophers of social ontology engage in. This claim is defended through a detailed case study and revisionary interpretation of Raimo Tuomela’s account of the we-perspective. My interpretation is grounded in Ronald Giere’s account of scientific models, and argued to be compatible with, but less demanding than Tuomela’s own description of his account as a philosophical theory of the social world. My approach is also suggested to be (...) applicable to many other methodologically naturalist accounts of collective intentionality and social ontology. (shrink)

Computational sociology models social phenomena using the concepts of emergence and downward causation. However, the theoretical status of these concepts is ambiguous; they suppose too much ontology and are invoked by two opposed sociological interpretations of social reality: the individualistic and the holistic. This paper aims to clarify those concepts and argue in favour of their heuristic value for social simulation. It does so by proposing a link between the concept of emergence and Luhmann's theory of communication. For Luhmann, society (...) emerges from the bottom-up as communication and he describes the process by which society limits the possible selections of individuals as downward causation. It is argued that this theory is well positioned to overcome some epistemological drawbacks in computational sociology. (shrink)

A major problem with the emerging sociological literature on cosmopolitanism is that it has not adequately theorized mechanisms that mediate the presumed causal relationship between globalization and the development of cosmopolitan orientations. To solve this problem, I draw on Bruno Latour's actor- network theory to theorize the development of three key elements of cosmopolitanism: cultural omnivorousness, ethnic tolerance, and cosmopolitics. ANT illuminates how humans and nonhumans of multiple nationalities develop attachments with one another to create network structures that sustain cosmopolitanism. (...) ANT also helps the sociology of cosmopolitanism become more reflexive and critical of its implicit normative claims. (shrink)

In the last decades philosophers of science and social scientists promoted the view that knowledge of mechanisms might help causal inference considerably in the social sciences. Mechanisms, however, can only assist causal inference effectively if scientists have a means to identify them correctly. Some scholars suggested that process-tracing might be a helpful strategy in this respect. Shared criteria to assess its performance, however, are not available yet; furthermore, the criteria proposed so far tie the validity of process-tracing findings to the (...) specific kind of evidence it uses. In this paper I shall propose a criterion to assess process-tracing performance in cases in which favorable epistemic circumstances do not occur and the existing criteria thus fail to apply. The criterion I propose does not double as a condition for validity. Rather, it aims to assess whether the mechanism process-tracing outlines constitutes admissible evidence for the hypothesis at hand. It will be argued that only if this requirement is fulfilled process-tracing can be used as an effective complement for causal inference. (shrink)

Journal for the Theory of Social Behaviour, EarlyView.

Evidential pluralists, like Federica Russo and Jon Williamson, argue that causal claims should be corroborated by establishing both the existence of a suitable correlation and a suitable mechanism complex. At first glance, this fits well with mixed method research in the social sciences, which often involves a pluralist combination of statistical and mechanistic evidence. However, statistical evidence concerns a population of cases, while mechanistic evidence is found in individual case studies. How should researchers combine such general statistical evidence and specific (...) mechanistic evidence? This article discusses a very recent answer to this question, ‘multi-method large-N qualitative analysis’ or multi-method LNQA, popular in political science and international relations studies of rare events like democratic transitions and cease-fire agreements. Multi-method LNQA combines a comprehensive study of all relevant event cases with statistical analysis, in an attempt to solve the issues of generalization faced by other types of qualitative research, such as selection bias and lack of representativeness. I will argue that the kind of general causal claim that multi-method LNQA is after, however, is crucially different from the average treatment effect found in statistical analysis and can in fact only be supported with mechanistic evidence. I conclude from this that mixed method research, and thereby evidential pluralism, may be inappropriate in this context. (shrink)

Business sustainability aims to combine market logic with social welfare logic. In literature, it is commonly assumed that sustainability and the social welfare logic associated with it are characterized by a long-term orientation. However, this assumption is problematic because this principle may not apply in certain contexts. This qualitative study challenges this assumption and focuses on the mechanisms by which time affects the adoption of sustainability practices in the context of socially responsible investing (SRI) practices in Swiss banks and insurance (...) companies. The article provides insights into the mechanisms associated with different time horizons and investigates their effects on the adoption of SRI in financial intermediaries. It also shows how the dimension of time shapes interactions between the two institutional logics underlying SRI in business organizations through specific mechanisms. (shrink)

This article argues that empirical social scientists can be freed from having to account for “micro-to-macro transitions.” The article shows, in opposition to the (still) dominant perspective based on Coleman’s macro-micro-macro model, that no micro-macro transitions or mechanisms connect the individual level to the macro level in empirical social science. Rather, when considering that social macro entities and properties are micro manifest rather than macro manifest, it becomes clear that the micro-macro move in empirical social science is purely conceptual or (...) analytical. (shrink)

The past two decades have witnessed an increase in interest in social mechanisms and mechanistic explanations of social macro-phenomena. This paper addresses the question of what the components of social mechanisms in mechanistic explanations of social macro-phenomena must be. Analytical sociology’s initial position and the main new proposals by analytical sociologists are discussed. It is argued that all of them are faced with outstanding difficulties. Subsequently, a minimal requirement regarding the components of social mechanisms is introduced. It is held that (...) a component of a social mechanism in a mechanistic explanation of a social macro-phenomenon must not have the explanandum phenomenon as a part of it. (shrink)

Epidemiological models have played a central role in the COVID-19 pandemic, particularly when urgent decisions were required and available evidence was sparse. They have been used to predict the evolution of the disease and to inform policy-making. In this paper, we address two kinds of epidemiological models widely used in the pandemic, namely, compartmental models and agent-based models. After describing their essentials—some real examples are invoked—we discuss their main strengths and weaknesses. Then, on the basis of this analysis, we make (...) a comparison between their respective merits concerning three different goals: prediction, explanation, and intervention. We argue that there are general considerations which could favour any of those sorts of models for obtaining the aforementioned goals. We conclude, however, that preference for particular models must be grounded case-by-case since additional contextual factors, as the peculiarities of the target population and the aims and expectations of policy-makers, cannot be overlooked. (shrink)

Most philosophical work on social ontology continues to be done without much connection to social scientific concerns. This special issue, however, calls for attention to a naturalized metaphysics, one based on the best science we have. It follows that a naturalized social metaphysics should begin with the best social science available. In contrast with the physical sciences, however, the best social science is not so clear. Thus, this paper acquaints professional philosophers with some of the prominent metaphysical views extant in (...) the social sciences; the ways that more philosophically oriented social scientists engage them; and how professional philosophers might contribute.In particular, the paper covers several arguments especially relevant to a naturalized social metaphysics. One argument suggests that folk intuitions cannot be excluded from consideration. In fact, in the social sphere, it may be that scientific concepts not only cannot always trump folk conceptions but actually must be constrained by them. The paper further introduces arguments defending not only metaphysically real levels of being but also the metaphysical reality of the categories of social science. Finally, the paper will introduce an argument that beyond culture and individual agency, social being also includes structure as a distinct category. (shrink)

In this paper, we argue that several recent ‘wide’ perspectives on cognition (embodied, embedded, extended, enactive, and distributed) are only partially relevant to the study of cognition. While these wide accounts override traditional methodological individualism, the study of cognition has already progressed beyond these proposed perspectives towards building integrated explanations of the mechanisms involved, including not only internal submechanisms but also interactions with others, groups, cognitive artifacts, and their environment. The claim is substantiated with reference to recent developments in the (...) study of “mindreading” and debates on emotions. We claim that the current practice in cognitive (neuro)science has undergone, in effect, a silent mechanistic revolution, and has turned from initial binary oppositions and abstract proposals towards the integration of wide perspectives with the rest of the cognitive (neuro)sciences. (shrink)

It has recently been argued that successful evidence-based policy should rely on two kinds of evidence: statistical and mechanistic. The former is held to be evidence that a policy brings about the desired outcome, and the latter concerns how it does so. Although agreeing with the spirit of this proposal, we argue that the underlying conception of mechanistic evidence as evidence that is different in kind from correlational, difference-making or statistical evidence, does not correctly capture the role that information about (...) mechanisms should play in evidence-based policy. We offer an alternative account of mechanistic evidence as information concerning the causal pathway connecting the policy intervention to its outcome. Not only can this be analyzed as evidence of difference-making, it is also to be found at any level and is obtainable by a broad range of methods, both experimental and observational. Using behavioral policy as an illustration, we draw the implications of this revised understanding of mechanistic evidence for debates concerning policy extrapolation, evidence hierarchies, and evidence integration. (shrink)

Social scientists associate agent-based simulation (ABS) models with three ideas about explanation: they provide generative explanations, they are models of mechanisms, and they implement methodological individualism. In light of a philosophical account of explanation, we show that these ideas are not necessarily related and offer an account of the explanatory import of ABS models. We also argue that their bottom-up research strategy should be distinguished from methodological individualism.

Some psychologists aim to secure a role for psychological explanations in understanding contemporary social disparities, a concern that plays out in debates over the relevance of the Implicit Association Test. Meta-analysts disagree about the predictive validity of the IAT and about the importance of implicit attitudes in explaining racial disparities. Here, I use the IAT to articulate and explore one route to establishing the relevance of psychological attitudes with small effects: an appeal to a process of “accumulation” that aggregates small (...) effects into large harms. After characterizing mechanisms of accumulation and considering some candidate examples, I argue that such mechanisms suggest how a contemporary attitude with small effects could figure in the explanation of large disparities, but they do not vindicate the importance of such an attitude since such mechanisms are typically also determined by competing causes. I close by sketching several strategies for advancing a defense of the relevance of attitudes with small effects. (shrink)

In this article, I will discuss two prominent views on the relevance and irrelevance of ontological investigations for the social sciences, namely, ontological foundationalism and anti-ontological pragmatism. I will argue that both views are unsatisfactory. The subsequent part of the article will introduce an alternative role for ontological projects in the philosophy of the social sciences that fares better in this respect by paying attention to the ontological assumptions of actual social scientific theories, models, and related explanatory practices. I will (...) illustrate and support this alternative through discussion of three concrete cases. (shrink)

Causal mechanisms theory has provided an important contribution to the theory of social explanation. This article considers whether CMT also makes a contribution to improvement of social science methodology. Methodology serves as a guide to the construction of research questions and explanatory hypotheses. Research is guided by background assumptions about the ontology of the domain of investigation. CMT provides a valuable ontology for social science research. Furthermore, it provides a valuable research heuristic: “seek out the causal mechanisms that underlie an (...) outcome of interest.” CMT does indeed have valuable implications for social science investigation, hypothesis formation, and research strategy. (shrink)

Political science is divided between methodological individualists, who seek to explain political phenomena by reference to individuals and their interactions, and holists (or nonreductionists), who consider some higher-level social entities or properties such as states, institutions, or cultures ontologically or causally significant. We propose a reconciliation between these two perspectives, building on related work in philosophy. After laying out a taxonomy of different variants of each view, we observe that (i) although political phenomena result from underlying individual attitudes and behavior, (...) individual-level descriptions do not always capture all explanatorily salient properties, and (ii) nonreductionistic explanations are mandated when social regularities are robust to changes in their individual-level realization. We characterize the dividing line between phenomena requiring nonreductionistic explanation and phenomena permitting individualistic explanation and give examples from the study of ethnic conflicts, social-network theory, and international-relations theory. (shrink)

Enactivism advances an understanding of cognition rooted in the dynamic interaction between an embodied agent and their environment, whilst new mechanism suggests that cognition is explained by uncovering the organised components underlying cognitive capacities. On the face of it, the mechanistic model’s emphasis on localisable and decomposable mechanisms, often neural in nature, runs contrary to the enactivist ethos. Despite appearances, this paper argues that mechanistic explanations of cognition, being neither narrow nor reductive, and compatible with plausible iterations of ideas like (...) emergence and downward causation, are congruent with enactivism. Attention to enactivist ideas, moreover, may serve as a heuristic for mechanistic investigations of cognition. Nevertheless, I show how enactivism and approaches that prioritise mechanistic modelling may diverge in starting assumptions about the nature of cognitive phenomena, such as where the constitutive boundaries of cognition lie. (shrink)

This paper makes the case for a revision of contemporary forms of political realism in political theory. I argue that contemporary realists have gone awry in increasingly centring their approach around a metaethical claim: that political theory should be rooted in a political form of normativity that is distinct from moral normativity. Several critics of realism have argued that this claim is unconvincing. But I suggest that it is also a counterintuitive starting point for realism, and one unnecessary to avoid (...) the ‘applied morality’ approach to political theory that realists oppose. Instead, realism should be methodologically orientated around what I term ‘empirically constitutive political realities’ - enduring features of real political contexts that are systematically consequential in their normative implications. Realists can persuasively argue that such empirically constitutive political realities must be attended to in political theory-building, and not merely treated as a context in which independently formulated moral theories are simply applied. This framing of realism accords real politics a genuinely foundational theoretical role, but without requiring any contentious metaethical stance about a non-moral political normativity. I explain some methodological implications that follow for realism – in particular the need to prioritise empirically grounded theorisation of real political contexts over abstract and rather essentialist claims about ‘the political’. I also argue that such a framing of realism helps engender a more accurate, less divisive, and more pluralist conception of methodological debates within political theory. (shrink)

This paper provides an inferentialist account of model-based understanding by combining a counterfactual account of explanation and an inferentialist account of representation with a view of modeling as extended cognition. This account makes it understandable how the manipulation of surrogate systems like models can provide genuinely new empirical understanding about the world. Similarly, the account provides an answer to the question how models, that always incorporate assumptions that are literally untrue of the model target, can still provide factive explanations. Finally, (...) the paper shows how the contrastive counterfactual theory of explanation can provide tools for assessing the explanatory power of models. (shrink)