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  1. A Probabilistic Analysis of Causation.Luke Glynn - 2011 - British Journal for the Philosophy of Science 62 (2):343-392.
    The starting point in the development of probabilistic analyses of token causation has usually been the naïve intuition that, in some relevant sense, a cause raises the probability of its effect. But there are well-known examples both of non-probability-raising causation and of probability-raising non-causation. Sophisticated extant probabilistic analyses treat many such cases correctly, but only at the cost of excluding the possibilities of direct non-probability-raising causation, failures of causal transitivity, action-at-a-distance, prevention, and causation by absence and omission. I show that (...)
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  • Independence, invariance and the causal Markov condition.Daniel M. Hausman & James Woodward - 1999 - British Journal for the Philosophy of Science 50 (4):521-583.
    This essay explains what the Causal Markov Condition says and defends the condition from the many criticisms that have been launched against it. Although we are skeptical about some of the applications of the Causal Markov Condition, we argue that it is implicit in the view that causes can be used to manipulate their effects and that it cannot be surrendered without surrendering this view of causation.
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  • On Anti Humeanism and Medical Singular Causation.Stefan Dragulinescu - 2012 - Acta Analytica 27 (3):265-292.
    Abstract In this paper I offer an anti-Humean interpretation of the causal interactions in somatic medicine. I focus on life-threatening pathological states and show how Nancy Cartwright’s capacities can offer a plausible epistemology for medical processes and the singular causal claims advanced in medical diagnoses. I argue that the capacities manifested in the emergence of symptoms and signs could be tracked down if healthy organisms are construed as nomological machines and suggest that the causal reasoning from current medical practice bears (...)
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  • Different Roles for Multiple Perspectives and Rigorous Testing in Scientific Theories and Models: Towards More Open, Context-Appropriate Verificationism.Peter Cariani - 2022 - Philosophies 7 (3):54.
    A form of context-appropriate verificationism is proposed that distinguishes between scientific theories as evolving systems of ideas and operationally-specified, testable formal-empirical models. Theories undergo three stages (modes): a formative, exploratory, heuristic phase of theory conception, a developmental phase of theory-pruning and refinement, and a mature, rigorous phase of testing specific, explicit models. The first phase depends on Feyerabendian open possibility, the second on theoretical plausibility and internal coherence, and the third on testability (falsifiability, predictive efficacy). Multiple perspectives produce variety necessary (...)
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  • Reconciling Opposites in Organisation Studies: An Aristotelian Approach to Modernism and Post-modernism.Marja-Liisa Kakkuri-Knuuttila & Eero Vaara - 2007 - Philosophy of Management 6 (1):81-98.
    In view of the current fragmentation in management and organisation studies, we argue that there is a need to elaborate techniques that help reconcile contradictory and superficially incommensurable standpoints. For this purpose, we draw on ‘pre-modern’ Aristotelian epistemological and methodological sources, particularly the idea of ‘saving the appearances’ (SA), not previously introduced into organisation studies. Using SA as our starting point, we outline a methodology that helps to develop reasonable and acceptable intermediary positions in contemporary debates between ‘modernism’ and ‘post-modernism’. (...)
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  • What an economist can teach Nancy Cartwright.Esther-Mirjam Sent - 1996 - Social Epistemology 10 (2):171 – 192.
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  • Empiricism Must, but Cannot, Presuppose Real Causation.Hans Radder - 2021 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 52 (4):597-608.
    In this article, I put forward a basic philosophical claim: empirical scientific knowledge, that is, knowledge generated in experimental and observational practices, presupposes real causation. My discussion exploits two core notions from the philosophical analysis of scientific experimentation and observation: the aim of realizing object-apparatus correlations and the required control of the relevant interactions between environment and experimental or observational system. The conclusion is that, without the notion of real causation, acquiring epistemically sound empirical knowledge is impossible. Several empiricist objections (...)
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