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)

The kinds of models discussed in this paper function as measuring instruments. We will concentrate on two necessary steps for measurement: (1) the search of a mathematical representation of the phenomenon; (2) this representation should cover an invariant relationship between the properties of the phenomenon to be measured and observable accociated attributes of a measuring instrument. Therefore, the measuring instrument should function as a nomological machine. However, invariant relationships are not necessarily ceteris paribus regularities, but could also occur when the (...) influence of the environment is negligible. Then we are able to achieve accurate measurements outside the laboratory. (shrink)

An exposition in five parts of the character of existentialist philosophy, including an analysis of the theories of Jean-Paul Sartre. Author Gabriel Marcel, a famous French dramatist, philosopher, and author of Le Dard, was a leading exponent of Christian existentialism.

This volume presents two works by Gabriel Marcel.

In this chapter, we discuss a specific kind of progress in economics, namely, progress that is pushed by the repeated use of mathematical models in most sub-branches of economics today. We adopt a functional account of progress to argue that progress in economics occurs via the use of what we call ‘common recipes’ and the use of model templates to define and solve problems of relevance for economists. We support our argument by discussing the case of twentieth-century business cycle research. (...) By presenting this case study in detail, we show how model templates are not only re-applied to different phenomena. We also show how scientists come up with them in the first place and how – once they are considered less useful – they are replaced with new ones. Finally, our case also illustrates that it is not only the mathematical structure that is re-used but that such a re-use also requires a shared conceptual vision of core properties of the phenomenon. If that vision is not shared anymore among economists, a model template can become useless and has to be replaced – sometimes through overcoming resistance – with a different one. (shrink)

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)

Generally, simulations are carried out to answer specific questions. The assessment of the reliability of an answer depends on the kind of question investigated. The answer to a 'why' question is an explanation. The premises of an explanation have to include invariant relationships, and thus the reliability of such answer depends on whether the domain of invariance of the relevant relationships covers the domain of the question. The answer to a 'how much' question is a measurement. A measurement is reliable (...) when it is an output of a calibrated measuring instrument. (shrink)

Templates travel because they offer a tractable format that can be used for model-building in a variety of domains. It is often because of this quality that a particular template is chosen. But one cannot assume that there are always templates ready to model a new phenomenon, and moreover, templates have also been designed at some point. A critical aspect of this designing process is the choice of the mathematical objects with which one hopes to capture this phenomenon. This means (...) that one has to assess which of the properties of different kinds of mathematical objects and which combinations of them are most appropriate. The selection of these objects is based on whether their properties enable the model to perform its function. This selection of mathematical objects is similar to the selection of materials in mechanical design. (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)

Scientific measurements are made objective through the use of reliable instruments. Instruments can have this function because they can - as material objects - be investigated independently of the specific measurements at hand. However, their materiality appears to be crucial for the assessment of their reliability. The usual strategies to investigate an instrument’s reliability depend on and assume possibilities of control, and control is usually specified in terms of materiality of the instrument and environment. The aim of this paper is (...) to investigate the problem of reliability for non-material instruments, the instruments being applied in the social sciences. Any possible lack of reliability of the instrument hinders the measurements of ever becoming objective. (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)

The Routledge Companion to Sounding Art presents an overview of the issues, methods, and approaches crucial for the study of sound in artistic practice. Thirty-six essays cover a variety of interdisciplinary approaches to studying sounding art from the fields of musicology, cultural studies, sound design, auditory culture, art history, and philosophy. The companion website hosts sound examples and links to further resources. The collection is organized around six main themes: Sounding Art: The notion of sounding art, its relation to sound (...) studies, and its evolution and possibilities. Acoustic Knowledge and Communication: How we approach, study, and analyze sound and the challenges of writing about sound. Listening and Memory: Listening from different perspectives, from the psychology of listening to embodied and technologically mediated listening. Acoustic Spaces, Identities and Communities: How humans arrange their sonic environments, how this relates to sonic identity, how music contributes to our environment, and the ethical and political implications of sound. Sonic Histories: How studying sounding art can contribute methodologically and epistemologically to historiography. Sound Technologies and Media: The impact of sonic technologies on contemporary culture, electroacoustic innovation, and how the way we make and access music has changed. With contributions from leading scholars and cutting-edge researchers, The Routledge Companion to Sounding Art is an essential resource for anyone studying the intersection of sound and art. (shrink)

In recent years, experts in geriatric care have increasingly promoted the use of reminiscence museums, collections of period objects that are used to help senior citizens draw on old memories in order to recall and talk about their past. Hands Off Not an Option is a practical guide to making and using such collections, showing how to establish and fill out a museum and illustrating the ways it can be used within senior care facilities and within individual homes. The book (...) will thus be of value both to those practicing in geriatric medical and social care and to individual families working with aged relatives. The book includes 1 DVD. (shrink)

Was der Mensch ist, wird seit Jahrtausenden lebhaft diskutiert. Sowohl religiöse als auch säkulare Begründungen stehen dabei als Erklärungsmodelle zur Verfügung, allerdings ohne bisher eine überzeugende Antwort geben zu können. Aus vier unterschiedlichen Perspektiven wird in diesem Band der Frage nachgegangen, was den Menschen auszeichnet. Die allgemeinverständlichen Beiträge von Dagmar Fenner, Annemarie Pieper, Wilhelm Schmid und Dieter Thomä widerstehen dabei der Verführung, endgültige Antworten geben zu wollen, sondern regen zur Selbstreflexion an.

The metrology literature neglects a strong empirical measurement tradition in economics, which is different from the traditions as accounted for by the formalist representational theory of measurement. This empirical tradition comes closest to Mari's characterization of measurement in which he describes measurement results as informationally adequate to given goals. In economics, one has to deal with soft systems, which induces problems of invariance and of self-awareness. It will be shown that in the empirical economic measurement tradition both problems have been (...) on the agenda for a long while, and that the proposed solutions to these problems provide clues for the directions in which one could develop a measurement theory that takes account of soft systems. (shrink)

A typical difference between social science and natural science is the degree in which control is possible. Strategies in both sciences to obtain true facts are consequently different. Measurement errors are due to background noise. Laboratories are environments in which background conditions can be controlled. As a result, accurate observations { measurement results close to the true values of the measurands { can only be obtained in laboratories. Therefore, measuring instruments are built such that they function as mini laboratories. However, (...) observations in social science are usually passive, in the sense that control of background conditions is impossible. Models are built to solve this problem of (lack of) control. They function as nonmaterial laboratories by aiming at precision, that is reducing the spread of the measurement errors. The application of models as measuring instruments necessitates a shift of the requirement of accuracy to the requirement of precision, which is a feature of the instrument and not of the environment. (shrink)

Cytokinins are plant hormones that have, among many other functions, senescence‐modulatory effects in plant tissue. This is evident not only from biochemical data, but is vividly illustrated in the “green island” phenotype in plant leaves caused by cytokinins released for example by leaf mining insects or microbial pathogens. It is beyond doubt that, in addition to their roles in plants, cytokinins also provoke physiological and developmental effects in animals. It is hypothesized that the recently much discussed modification of plant metabolism (...) by insects and associated microbes via cytokinin signals has a counterpart in direct cytokinin signalling that interferes with the animals’ hormonal systems and impacts their population dynamics. (shrink)

Objectivity has fruitfully been explored in last two decades, manifested by the many studies on ‘objectivity’ in various scientific disciplines. Due to the variety of contexts studied, the focus on...

Name der Zeitschrift: Das Mittelalter Jahrgang: 22 Heft: 1 Seiten: 146-164.

The practice of economic science is dominated by model building. To evaluate economic policy, models are built and used to produce numbers to inform us about economic phenomena. Although phenomena are detected through the use of observed data, they are in general not directly observable. To 'see' them we need instruments. More particularly, to obtain numerical facts of the phenomena we need measuring instruments. This paper will argue that in economics models function as such instruments of observation, more specific as (...) measuring instruments. In measurement theory, measurement is a mapping of some class of aspects of characteristics of the empirical world into a set of numbers. The paper's view is that economic modelling is a specific kind of mapping to which the standard account on how models are obtained and assessed does not apply. Models are not easily or simply derived from theories and subsequently tested against empirical data. Instruments are constructed by integrating several theoretical and empirical ideas and requirements in such a way that their performance meets a beforehand chosen standard. The empirical requirement is that the model should take account of the phenomenological facts, so that the reliability of the model is not assessed by post-model testing but obtained by calibration. (shrink)

In economics, models are built to answer specific questions. Each type of question requires its own type of models; in other words, it defines the requirements that a model should meet and thereby instructs how the models should be built. An explanation is an answer to a ‘why’-question. In economics, this answer is provided by a white -box model. To answer a ‘how much’-question, which is asking for a measurement, economists can make use of black-box models. Economic phenomena are often (...) so complex that white -box models that should function as explanations for them appear not to be intelligible. So, for questions concerning understanding - e.g. ‘Can you clarify this phenomenon‘’ ‘Can you tell me what would happen if‘’ - it would appear that grey-box models are more adequate. This implies a twofold revision of de Regt and Dieks’s criteria for understanding phenomena. First, whenever the term ‘theory’ is used it should be substituted by ‘model’. Secondly, the Criterion for the Intelligibility of Models is now simplified as: ‘A model M is intelligible for economists if they have built M as a grey-box construction’. A grey-box construction implies that they ‘can recognize qualitatively characteristic consequences of M without performing exact calculations’. (shrink)

Often hearing parents and adults belonging to the Deaf community have very different and opposite views regarding central themes in treatment and education of deaf children: cochlear implantation versus rejection of medicalization of deafness, oral communication versus Sign Language, and mainstreaming in regular schools versus education in deaf schools as the most natural learning environment for deaf children. The striking divergence of hearing and deaf people’s ethical judgments is a consequence of deafness and having normal hearing being “world-generating states,” conditions (...) that not only lead to a different understanding and perception of the world, but also to different courses of life that make the worlds of hearing and deaf people also really different.The views of hearing and deaf people stem from different worlds and different cosmologies, within which they have their own validity. The conflict between these two views is not resolved by arbitration or the choice for a middle course, but by negotiation. The basis for this negotiation may be an ethical analysis based on a Christian personalism that tries to combine full respect for the diversity of the negotiating partners with the effort of bringing their widely divergent worlds in communication with each other. (shrink)

Research on Old Irish law was from the very beginning related to specific epistemological and political contexts in which Celtic and Indo-European Studies emerged as scientific disciplines at the end of the 19th century. The premise of historical linguistics that the Indo-European languages derived from a common ‘origin’ had far reaching implications for studies on medieval Celtic law tracts. Since linguists had discovered significant parallels between Old Irish and Sanskrit, the legal traditions of Ireland and India were believed to preserve (...) archaic Indo-European continuities as well. Against this background, and in a particular political context, Irish scholars of the 20th century argued for the autonomy and isolation of Old Irish law which was supposed to be unaffected by the Latin and Christian literature of continental Europe. However, later researches departed radically from this national perspective and emphasized the impact of Canon law, hagiography and the Bible on Irish written culture. This article takes up a different perspective by focusing on the persistence of a legal imagery that was by no means essentially Indo-European but still provided conceptual tools for the interpretation and ‘translation’ of texts, as they occur in vernacular adaptations of Latin literature. (shrink)

Listening -- Discourse -- Interaction -- Affect -- Voice -- Engagement.