166 research outputs found

    Can we use conceptual spaces to model moral principles?

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    Assessment in a globalized economy: A task-based approach to assess the proficiency of Dutch in specific occupational domains

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    For language tests to be in tune with the target context, a constant attention to the shifting characteristics of real-world language use is required. This holds particularly true for language tests in the occupational domain since domestic labor market demands are continuously changing and increasingly met through the recruitment of foreign workers. This paper describes how subject experts were involved in the cyclical validation process of a test of Dutch for the professional domain. A survey of recruitment agents, employers, policy makers, language instructors, examiners, and former test takers indicated that a task-based test targeting the language skills involved in service-oriented work settings such as administration and health care at level B2 of the CEFR was favored. The involvement of subject specialists recruited among the test’s various stakeholders proved to be of vital importance throughout the development and validation process to ensure content validity and avoid biases

    Patterns of dissolved organic carbon and nitrogen fluxes in deciduous and coniferous forests under historic high nitrogen deposition

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    Numerous recent studies have indicated that dissolved organic carbon (DOC) and nitrogen (DON) play an important role in C and N cycling in natural ecosystems, and have shown that N deposition alters the concentrations and fluxes of dissolved organic substances and may increase leaching losses from forests. Our study was set up to accurately quantify concentrations and flux patterns of DOC, DON and dissolved inorganic nitrogen (DIN) in deciduous and coniferous forest in Flanders, Belgium, under historical high nitrogen deposition. We measured DOC, DON and DIN concentrations at two weekly intervals in a silver birch (SB) stand, a corsican pine (CP) stand and a pine stand with higher N deposition (CPN), and used the SWAP model (calibrated with PEST) for generating accurate water and matter fluxes. The input with precipitation was an important source of DON, but not for DOC. Release of DOC from the forest floor was minimally affected by forest type, but higher N deposition (CPN stand) caused an 82% increase of DOC release from the forest floor. Adsorption to mineral soil material rich in iron and/or aluminum oxyhydroxides was suggested to be the most important process removing DOC from the soil solution, responsible for substantial retention (67–84%) of DOC entering the mineral soil profile with forest floor leachate. Generally, DON was less reactive (i.e. less removal from the soil solution) than DOC, resulting in decreasing DOC/DON ratios with soil depth. We found increased DOC retention in the mineral soil as a result of higher N deposition (84 kg ha−1 yr−1 additional DOC retention in CPN compared to CP). Overall DON leaching losses were 2.2, 3.3 and 5.0 kg N yr−1 for SB, CP and CPN, respectively, contributing between 9–28% to total dissolved N (TDN) leaching. The relative contribution to TDN leaching from DON loss from SB and CP was mainly determined by (large) differences in DIN leaching. The large TDN leaching losses are alarming, especially in the CPN stand that was N saturated

    On the Optimality of Vagueness: "Around", "Between", and the Gricean Maxims

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    Why is our language vague? We argue that in contexts in which a cooperative speaker is not perfectly informed about the world, the use of vague expressions can offer an optimal tradeoff between truthfulness (Gricean Quality) and informativeness (Gricean Quantity). Focusing on expressions of approximation such as "around", which are semantically vague, we show that they allow the speaker to convey indirect probabilistic information, in a way that gives the listener a more accurate representation of the information available to the speaker than any more precise expression would (intervals of the form "between"). We give a probabilistic treatment of the interpretation of "around", and offer a model for the interpretation and use of "around"-statements within the Rational Speech Act (RSA) framework. Our model differs in substantive ways from the Lexical Uncertainty model often used within the RSA framework for vague predicates

    Inferring choice criteria with mixture IRT models: A demonstration using ad hoc and goal-derived categories

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    Whether it pertains to the foods to buy when one is on a diet, the items to take along to the beach on one’s day off or (perish the thought) the belongings to save from one’s burning house, choice is ubiquitous. We aim to determine from choices the criteria individuals use when they select objects from among a set of candidates. In order to do so we employ a mixture IRT (item-response theory) model that capitalizes on the insights that objects are chosen more often the better they meet the choice criteria and that the use of different criteria is reflected in inter-individual selection differences. The model is found to account for the inter-individual selection differences for 10 ad hoc and goal-derived categories. Its parameters can be related to selection criteria that are frequently thought of in the context of these categories. These results suggest that mixture IRT models allow one to infer from mere choice behavior the criteria individuals used to select/discard objects. Potential applications of mixture IRT models in other judgment and decision making contexts are discussed

    A probabilistic threshold model: Analyzing semantic categorization data with the Rasch model

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    According to the Threshold Theory (Hampton, 1995, 2007) semantic categorization decisions come about through the placement of a threshold criterion along a dimension that represents items' similarity to the category representation. The adequacy of this theory is assessed by applying a formalization of the theory, known as the Rasch model (Rasch, 1960; Thissen & Steinberg, 1986), to categorization data for eight natural language categories and subjecting it to a formal test. In validating the model special care is given to its ability to account for inter- and intra-individual differences in categorization and their relationship with item typicality. Extensions of the Rasch model that can be used to uncover the nature of category representations and the sources of categorization differences are discussed

    Can we use conceptual spaces to model moral principles?

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    Can the theory of conceptual spaces developed by Peter GĂ€rdenfors and others be applied to moral issues? Martin Peterson argues that several moral principles can be construed as regions in a shared similarity space, but Kristin Shrader- Frechette and Gert-Jan Lokhorst question Peterson’s claim. They argue that the moral similarity judgments used to construct the space are underspecified and subjective. In this paper, we present new data indicating that moral principles can indeed be construed as regions in a multidimensional conceptual space on the basis of moral similarity judgments. Four hundred and seventy-five students taking a course in engineering ethics completed a survey in which they were presented with ten cases (moral choice situations) featuring ethical issues related to technology and engineering. Participants were asked to judge the moral similarity of each pair of cases (45 comparisons) and to select which moral principle (from a list of five alternatives plus a sixth option: “none of the principle listed here”) they believed should be applied for resolving the case. We used interval multidimensional scaling (MDS) as well as individual differences scaling (INDSCAL) for analyzing the moral similarity judgments. Despite noteworthy individual variations in the judgments, the five moral principles included in the study were discernable in t

    Der Beitrag temporĂ€rer Straßenexperimente zur kollaborativen Planung lebenswerter urbaner Quartiersstraßen

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    Öffentliche StraßenrĂ€ume erfĂŒllen vielfĂ€ltige Funktionen: Sie sind Orte der Kommunikation/Interaktion, des Konsums, des Aufenthalts und nicht zuletzt unserer MobilitĂ€t. Ein Blick auf die derzeitigen stĂ€dtebaulichen und verkehrlichen RealitĂ€ten/ VerhĂ€ltnisse (FlĂ€chenkonsum und rechtliche Vorrangstellung des motorisierten Individualverkehrs (MIV)), lĂ€sst jedoch Zweifel an der Funktionsvielfalt und nicht zuletzt am SchlĂŒsselbegriff des „Öffentlichen“ sowie an einer damit einhergehenden am Gemeinwohl und LebensqualitĂ€t orientierten Stadt- und Verkehrsplanung aufkommen. Vor diesem Hintergrund beschreibt der Artikel einen dreistufigen kollaborativen Beteiligungs- und Planungsprozess mit der Zivilgesellschaft, der Stadtverwaltung und der Kommunalpolitik fĂŒr den Umbau einer Quartiersstraße in Dortmund (Deutschland). Ziel des Prozesses war es, die Zieldimensionen Verkehrswende, AufenthaltsqualitĂ€t und Klimaresilienz (Blau-GrĂŒne-Infrastrukturen) integriert zu betrachten, um eine gleichermaßen ambitionierte wie gesellschaftlich tragfĂ€hige Planung zu entwickeln. Der Artikel beschreibt hierbei nicht nur die empirischen Arbeiten und Befunde, sondern stellt vor allem dar, wie die RĂŒckmeldungen aus dem Beteiligungs- und Planungsprozess in die PlanungsentwĂŒrfe integriert wurden. Ausgehend von dem Fallbeispiel diskutieren die Autorinnen und Autoren die Relevanz von temporĂ€ren Straßenexperimenten fĂŒr einen dauerhaften Umbau zu lebenswerten Straßen und StĂ€dten
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