In several accounts of what models are and how they function a specific view dominates. This view contains the following characteristics. First, there is a clear-cut distinction between theories, models and data and secondly, empirical assessment takes place after the model is built. This view in which discovery and justification are disconnected is not in accordance with several practices of mathematical business-cycle model building. What these practices show is that models have to meet implicit criteria of adequacy, such as satisfying (...) theoretical, mathematical and statistical requirements, and be useful for policy. In order to be adequate, models have to integrate enough items to satisfy such criteria. These items include besides theoretical notions, policy views, mathematisations of the cycle and metaphors also empirical data and facts. So, the main thesis of this chapter is that the context of discovery is the successful integration of those items that satisfy the criteria of adequacy. Because certain items are empirical data and facts, justification can be built-in. (shrink)

This anthology is a unique compilation of scientific contributions on the topic of measurement and understanding, showing how terms such as number, measurement, understanding, model, pattern are used in a wide variety of disciplines. Based on the results and experiences from their own projects, 23 researchers comment on the potentials and limitations of individual methodological approaches and success factors of interdisciplinary collaboration. In doing so, they sound out the different significance of quantification and empirical evidence for their own disciplines and (...) examine the influence of methodological approaches on existing models and images. The common goal is to want to understand the world; the methods, however, are highly diverse. (shrink)

In der 1970 gegründeten Reihe erscheinen Arbeiten, die philosophiehistorische Studien mit einem systematischen Ansatz oder systematische Studien mit philosophiehistorischen Rekonstruktionen verbinden. Neben deutschsprachigen werden auch englischsprachige Monographien veröffentlicht. Gründungsherausgeber sind: Erhard Scheibe (Herausgeber bis 1991), Günther Patzig (bis 1999) und Wolfgang Wieland (bis 2003). Von 1990 bis 2007 wurde die Reihe von Jürgen Mittelstraß mitherausgegeben.

This chapter contains section titled: The Diversity of Experimental Practices in Biology Model Organisms Experimental Systems and the “New Experimentalism” in Biology The Nature of Evidence Objectivity and Realism Acknowledgment References Further Reading.

In the social sciences we hardly can create laboratory conditions, we only can try to find out which kinds of experiments Nature has carried out. Knowledge about Nature's designs can be used to infer conditions for reliable predictions. This problem was explicitly dealt with in Haavelmo's (1944) discussion of autonomous relationships, Friedman's (1953) as-if methodology, and Simon's (1961) discussions of nearly-decomposable systems. All three accounts take Marshallian partitioning as starting point, however not with a sharp ceteris paribus razor but with (...) the blunt knife of negligibility assumptions. As will be shown, in each account reflection on which influences are negligible, for what phenomena and for how long, played a central role. (shrink)

Glenn Harrison [Journal of Economic Methodology, 2013, 20, 103–117] discusses four related forms of methodological intolerance with respect to field experiments: field experiments should rely on some form of randomization, should be disconnected from theory, the concept of causality should only be defined in terms of observables, and the role of laboratory experiments is dismissed. As is often the case, the cause of intolerance is ignorance, as it is here. To acquire knowledge about potential influences, which we need for both (...) the evaluation of internal and external validity of experimental results, we cannot do without theory. A purely empiricist methodology will be unable to give us sufficient understanding of the validity of these results. An account of causality only based on directly observed things, is an account based on factual influences only. This account will be too restricted, because it will not deal with the unobserved potential influences, which we need – again – for the evaluat... (shrink)

The Representational Theory of Measurement conceives measurement as establishing homomorphisms from empirical relational structures into numerical relation structures, called models. There are two different approaches to deal with the justification of a model: an axiomatic and an empirical approach. The axiomatic approach verifies whether a given relational structure satisfies certain axioms to secure homomorphic mapping. The empirical approach conceives models to function as measuring instruments by transferring observations of a phenomenon under investigation into quantitative facts about that phenomenon. These facts (...) are evaluated by their accuracy and precision. Precision is generally achieved by least squares methods and accuracy by calibration. For calibration standards are needed. Then two polar strategies can be distinguished: white-box modeling and black-box modeling. The first strategy of modeling aims at estimating the invariant equations of the phenomenon, thereby fulfilling Hertz’s correctness requirement. The latter strategy of modeling is to use known stable facts about the phenomenon to adjust the model parameters, thereby fulfilling Hertz’s appropriateness requirement. For this latter strategy, the requirement of models as homomorphic mappings has been dropped. Where one will find the axiomatic approach more often used for measurement in the laboratory, the empirical approach is more appropriate for measurement outside the laboratory. The reason for this is that for measurement of phenomena outside the laboratory, one also needs to take account of the environment to achieve accurate results. Environments are generally too relation-rich for an axiomatic approach, which are only applicable for relation-poor systems. The white-box modeling strategy, reflecting the complexity of the environment due to its correctness requirement, will, however, lead to immensely large models. To avoid this problem, modular design is an appropriate strategy to reduce this complexity. Modular design is a grey-box modeling strategy. Grey-box models are assemblies of modules; these are black boxes with standard interface. It should be noted that the structure of the assemblage need not be homomorphic to the relations describing the interaction between phenomenon and environment. These three modeling strategies map out the possible designs for computer simulations as measuring instruments. Whether a simulation is based on a white-box, grey-box or black-box model is only determined by the relationship between the phenomenon and its environment and not by e.g. its materiality or physicality. (shrink)

Generally, rational decision-making is conceived as arriving at a decision by a correct application of the rules of logic and statistics. If not, the conclusions are called biased. After an impressive series of experiments and tests carried out in the last few decades, the view arose that rationality is tough for all, skilled field experts not excluded. A new type of planner's counsellor is called for: the normative statistician, the expert in reasoning with uncertainty par excellence. To unravel this view, (...) the paper explores a specific practice of clinical decision-making, namely Evidence-Based Medicine. This practice is chosen, because it is very explicit about how to rationalize practice. The paper shows that whether a decision-making process is rational cannot be assessed without taking into account the environment in which the decisions have to be taken. To be more specific, the decision to call for new evidence should be rational too. This decision and the way in which this evidence is obtained are crucial to validate the base rates. Rationality should be model-based, which means that not only the isolated decision-making process should take a Bayesian updating process as its norm, but should also model the acquisition of evidence (priors and tests results) as a rational process. (shrink)

La singularité de la démarche philosophique de Gabriel Marcel vient de ce qu'elle renoue avec ses origines socratiques ; elle se fonde résolument sur le concret, c'est-à-dire le corps-propre (par oposition au corps-objet ou instrument), la sensation traitée comme manière d'être au monde plutôt que comme message, la mémoire, la volonté.

How the insane asylum became a laboratory of democracy is revealed in this provocative look at the treatment of the mentally ill in nineteenth-century France. Political thinkers reasoned that if government was to rest in the hands of individuals, then measures should be taken to understand the deepest reaches of the self, including the state of madness. Marcel Gauchet and Gladys Swain maintain that the asylum originally embodied the revolutionary hope of curing all the insane by saving the glimmer (...) of sanity left in them. Their analysis of why this utopian vision failed ultimately constitutes both a powerful argument for liberalism and a direct challenge to Michel Foucault's indictment of liberal institutions. The creation of an artificial environment was meant to encourage the mentally ill to live as social beings, in conditions that resembled as much as possible those prevailing in real life. The asylum was therefore the first instance of a modern utopian community in which a scientifically designed environment was supposed to achieve complete control over the minds of a whole category of human beings. Gauchet and Swain argue that the social domination of the inner self, far from being the hidden truth of emancipation, represented the failure of its overly optimistic beginnings. Madness and Democracy combines rich details of nineteenth-century asylum life with reflections on the crucial role of subjectivity and difference within modernism. Its final achievement is to show that the lessons learned from the failure of the asylum led to the rise of psychoanalysis, an endeavor focused on individual care and on the cooperation between psychiatrist and patient. By linking the rise of liberalism to a chapter in the history of psychiatry, Gauchet and Swain offer a fascinating reassessment of political modernity. (shrink)

In de economische wetenschap worden vragen beantwoord met behulp van modellen. Voor ieder type vraag bestaat een eigen klasse van modellen. Het type vraag bepaalt de eisen waaraan het model moet voldoen en geeft daarbij aan hoe de modellen gemaakt dienen te worden. Dit artikel behandelt de vraag die gesteld wordt om tot begrip te komen: de ‘hoezo-vraag’. Om duidelijk te maken welke modellen hoezo-vragen impliceren zal dit type vraag vergeleken worden met ‘waarom-vragen’ en ‘hoeveelvragen’. Het antwoord op een waarom-vraag (...) is een verklaring. Het antwoord op een hoeveel-vraag is een meetresultaat. (shrink)

When observing or measuring phenomena, errors are inevitable, one can only aspire to reduce these errors as much as possible. An obvious strategy to achieve this reduction is by using more precise instruments. Another strategy was to develop a theory of these errors that could indicate how to take them into account. One of the greatest achievements of statistics in the beginning of the 19th century was such a theory of error. This theory told the practitioners that the best thing (...) they could do is taking the arithmetical mean of their observations. This average would give them the most accurate estimate of the value they were searching for. Soon after its invention, this method made a triumphal march across various sciences. However, not in all sciences one stood waving aside. This method, namely, only worked well when the various observations were made under similar circumstances and when there were very many of them. And this was not the case for e.g. meteorology and actuarial science, the two sciences discussed in this paper. (shrink)

In the series Dear White People, students at the fictional University of Winchester struggle for racial justice. We analyze how the series treats “race” and racism and how this relates to contemporary debates in the United States. While the series presents an imaginary environment, we recognize strong similarities to actual student life and students grappling with various experiences of oppression including sexual violence. We draw on theories of identity formation and intersectionality to uncover how the series portrays and complicates “Blackness” (...) as an identity-forming experience and as an experience shaped by converging forms of structural discrimination. While we highlight the merit of combining two theoretical approaches, we note that especially intersectionality helped uncover a major blind spot of the series. Although Black women are at the center of the series and the struggle for racial equality at Winchester, their particular experiences of violence are marginalized in seasons 1–3. This tendency to overlook the experiences of Black women reflects the larger debate around race, racism, and movements for social justice. (shrink)

1. Philosophie anthropologique--2. Philosophie du savoir scientifique.

Depuis le 29 juin 2006, le Conseil des droits de l’homme a adopté la « Déclaration sur les droits des peuples autochtones » ; elle doit être débattue par l’Assemblée générale de l’ONU, à New York. Les citoyens d’Athènes, familiers des oraisons funèbres, annuellement prononcées chez eux sur le thème de l’Autochtonie, se sont dits..

Volume 25, Issue 5, August 2020, Page 595-599.