1,721,186 research outputs found
Élie Zahar, Essai d'épistémologie réaliste. Avant-propos de Alain Boyer
Russo Federica. Élie Zahar, Essai d'épistémologie réaliste. Avant-propos de Alain Boyer. In: Revue Philosophique de Louvain. Quatrième série, tome 101, n°3, 2003. pp. 516-519
Luc Bovens et Stephan Hartmann, Bayesian epistemology.
Russo Federica. Luc Bovens et Stephan Hartmann, Bayesian epistemology. . In: Revue Philosophique de Louvain. Quatrième série, tome 102, n°3, 2004. pp. 543-546
Jean-René Vernes, L'existence du monde extérieur et l'erreur du rationalisme
Russo Federica. Jean-René Vernes, L'existence du monde extérieur et l'erreur du rationalisme. In: Revue Philosophique de Louvain. Quatrième série, tome 101, n°1, 2003. pp. 173-176
Luc Bovens et Stephan Hartmann, Bayesian epistemology.
Russo Federica. Luc Bovens et Stephan Hartmann, Bayesian epistemology. . In: Revue Philosophique de Louvain. Quatrième série, tome 102, n°3, 2004. pp. 543-546
The reality of the unobservable . Observability, unobservability and their impact on the issue of scientific realism. Edited by Evandro Agazzi and Massimo Pauri
Russo Federica. The reality of the unobservable . Observability, unobservability and their impact on the issue of scientific realism. Edited by Evandro Agazzi and Massimo Pauri. In: Revue Philosophique de Louvain. Quatrième série, tome 101, n°1, 2003. pp. 176-179
Causality and Causal Modelling in the Social Sciences. Measuring Variations
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, not of regularity nor invariance, thus breaking down the dominant Humean 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
Causal webs in epidemiology
The notion of ‘causal web’ emerged in the epidemiological literature in the early Sixties and had to wait until the Nineties for a thorough critical appraisal. Famously, Nancy Krieger argued that such a notion isn’t helpful unless we specify what kind of spiders create the webs. This means, according to Krieger, (i) that the role of the spiders is to provide an explanation of the yarns of the web and (ii) that the sought spiders have to be biological and social. This paper contributes to the development of the notion of causal web, elaborating on the two following points: (i) to catch the spiders we need multi-fold evidence—specifically, mechanistic and difference-making—and (ii) for the eco-social to be explanatory, the web has to be mechanistic in a sense to be specified
Causal Arrows in Econometric Models
Econometrics applies statistical methods to study economic phenomena. Roughly, by means of equations, econometricians typically account for the response variable in terms of a number of explanatory variables. The question arises under what conditions econometric models can be given a causal interpretation. By drawing the distinction between associational models and causal models, the paper argues that a proper use of background knowledge, three distinct types of assumptions (statistical, extra-statistical, and causal), and the hypothetico-deductive methodology provide sufficient conditions for a causal interpretation of econometric models
Review of: Bovens L. and Hartmann S., Bayesian Epistemology
Recensione del libro 'Bayesian Epistemology
Review of: Representation and Structure in Economics. The Methodology of Econometric Models of the Consumption Function
Recensione del libro "Representation and Structure in Economics. The Methodology of Econometric Models of the Consumption Function
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