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The paper deals with the process of computer-aided transcription regarding Arabic-German data material for interaction-based studies. First of all, it sheds light upon some major methodological challenges posed by the conversation-analytic approaches: due to current corpus technology, the reciprocity, linearity, and simultaneity of linguistic activities cannot be reconstructed in an analytically proper way when using the Arabic characters in multilingual and bidirectional transcripts. The difficulty of transcribing Arabic encounters is also compounded by the fact that Spoken Arabic as well as its varieties and phenomena have not been standardised enough (for conversation-analytic purposes). Therefore, the second part of this paper is dedicated to preliminary, self-developed solutions, namely a systematic method for transcribing Spoken Arabic.
Our research task consists in the study of the way in which multilingual resources are mobilized in team work within collaborative activities; how they are exploited in a specific way in order both to enhance collaboration and to respect the specificities of the members’ linguistic competences and practices within the team. Central to our analytical work, which is inspired by ethnomethodological conversation analysis, is the relationship between multilingual resources and the situated organization of linguistic uses and of social practices. These two aspects are reflexively articulated, multilingual resources being shaped by the very contexts of their use and activities being constrained and thus structured by the available resources.
L’équipe de Lyon étudie la façon dont les ressources plurilingues sont mobilisées dans des activités collaboratives au sein du travail d’équipe. La démarche analytique est inspirée de l’Analyse Conversationnelle d’emprunte ethnomethodologique, et considère comme centrale la relation entre ressources plurilingues et organisation située des usages linguistiques et des pratiques sociales. Ces deux aspects sont réflexivement articulés, les ressources plurilingues étant modelées par leur contexte d’utilisation, et les activités étant mutuellement contraintes et structurées par les ressources disponibles.
Mechanism-based thinking on policy diffusion. A review of current approaches in political science
(2011)
Despite theoretical and methodological progress in what is now coined as the third generation of diffusion studies, explicitly dealing with the causal mechanisms underlying diffusion processes and comparatively analyzing them is only of recent date. As a matter of fact, diffusion research has ended up in a diverse and often unconnected array of theoretical assumptions relying both on rational as well as constructivist reasoning – a circumstance calling for more theoretical coherence and consistency. Against this backdrop, this paper reviews and streamlines diffusion literature in political science. Diffusion mechanisms largely cluster around two causal arguments determining the desires and preferences of actors for choosing alternative policies. First, existing diffusion mechanisms accounts can be grouped according to the rationality for policy adoption, this means that government behavior is based on the instrumental considerations of actors or on constructivist arguments like norms and rule-driven actors. Second, diffusion mechanisms can either directly impact on the beliefs of actors or they might influence the structural conditions for decision-making. Following this logic, four basic diffusion mechanisms can be identified in mechanism-based thinking on policy diffusion: emulation, socialization, learning, and externalities.
Status und Gebrauch des Niederdeutschen 2016. Erste Ergebnisse einer repräsentativen Erhebung
(2016)
Wer versteht heute Plattdeutsch, und wer spricht es? Wer nutzt die plattdeutschen Medien- und Kulturangebote? Welche Vorstellungen verbinden die Menschen in Norddeutschland mit dem Niederdeutschen, und wie stehen sie zu ihrer Regionalsprache?
Diesen und weiteren Fragen widmet sich die vorliegende Broschüre mithilfe von repräsentativen Daten, die durch eine telefonische Befragung von insgesamt 1.632 Personen aus acht Bundesländern (Bremen, Hamburg, Mecklenburg-Vorpommern, Niedersachsen, Schleswig-Holstein sowie Brandenburg, Nordrhein-Westfalen und Sachsen-Anhalt) gewonnen wurden.