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• W114961317 abstract "1. Introduction (1) In 1973, Stanley Cohen and Herbert Boyer introduced a technique to transfer genes from one organism to another artificially. Scientists, industry, farmers, medicine, and several social movements have associated different kinds of hopes and risks with the use of gene technology. Eventually, it became a permanent controversial political issue (cf. Hindmarsh/Gottweis 2005: 299). The controversy led to a regulatory framework that differs between OECD countries although there was an international scientific debate to connect the national discourses (cf. Gottweis 1998). Even though the European Union gained a lot of legal competencies, national actors and the Member States still dominate the political debates. Within the multi level governance system most decisions are developed bottom up, and the implementation of European directives differs between the Member States (cf. Dolata 2003: 279). In Germany, the debate became more controversial than in other countries and led to strikter regulations (cf. Aretz 1999). In the meantime there were several changes of the original regulatory framework. So, we now have the opportunity to observe policy change over more than three decades. How and why did the regulation of gene technology in Germany change during the last decades? Policy Analysis provides several theoretical lenses to analyse this question. Most of them refer to the relevant actors within the policy subsystem (Fink 2003: 9). As the subject of genetic engineering policy has changed, and the actors have gained new knowledge and experiences, it is important to consider the beliefs, arguments and the interpretation of information by policy actors. Changes of actors' belief systems might contribute to an understanding and explanation of the development of the policy outcome. Political actors face uncertainty about the effects of chosen policies in the field of genetic engineering as they lack reliable information and experience about the risks and benefits of this technology. Therefore new information could be more important than it is for distributive or redistributive policies. The following analysis will use a theory of policy learning in order to understand change of gene technology policies. The paper starts with a presentation of the policy outcome. In a second step the Interpretist Learning Theory will be presented to provide a theoretical lens for the analysis. Subsequently, methodological problems of any attempt to confront interpretist theory with (comparative) case study research will be discussed. Thereby the paper presents some methods to use interpretist theory within policy analysis. It then adopts the theory to long term change of gene technology policy. 2. Longterm Change in Gene Technology Policy Scince 1973 there is a controversy how the (unknown) benefits of gene technology could be used, and in what way it is necessary to develop a regulatory framework to control its (unknown) risks (cf. Schell 1994). The first actors to join the new policy subsystem of gene technology policy were scientists themselves. In 1974, eleven scientists called for a total ban of genetic engineering, which was followed by the whole scientific community (Berg et al. 1974). In 1975, 140 leading scientists met at Asilomar/CA to discuss the future regulation of gene technology (cf. Krimsky 1982). The conference lifted the ban and introduced a classification of genetically modified organisms (GMOs) based on the risk level of organisms used as donators and receivers of desoxyribonucleic acid (DNA). Even though this approach seems to deny any special risk of recombinant DNA biotechnology, the scientists were aware of their lack of knowledge regarding the actual risks. Therefore they proposed guidelines that contained strict safety provisions and actually only enabled the use of harmless donator and receiver organisms and also restricted the deliberate release of GMOs. In 1976, the US-American National Institute of Health enacted the first national guidelines based on the new classification. …" @default.
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• W114961317 date "2006-12-22" @default.
• W114961317 modified "2023-10-01" @default.
• W114961317 title "Advocacy Coalitions, Policy-Oriented Learning and Long-Term Change in Genetic Engineering Policy: An Interpretist View" @default.
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