AR4D的农民和科学家:通过STS镜头看流域管理项目

B. Habermann, C. Vogl, Kindu Mekonnen, Kassahun Bekele, U. Felt
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引用次数: 2

摘要

农业研究促进发展(AR4D)为农民和科学家的会议提供了一个界面。这是一次不同社会世界、不同议程、合作文化和行动者网络的会议。和其他学科一样,AR4D的科学家也发展了自己的科学文化。然而,他们的科学文化在与农民社会世界的谈判和接触中所起的作用却很少被讨论。以科学技术研究(STS)为基础的理论框架分析AR4D有助于我们突出AR4D中的权力和获取的重要问题。本文的目的是展示在埃塞俄比亚的AR4D项目中,某些技术的引入如何与人们的生活相互作用,并强调将STS应用于AR4D的潜力和局限性。我们使用定性社会研究方法采访了埃塞俄比亚高地与AR4D项目有关的农民、科学家、推广人员、政策制定者和捐助者。阿克里奇的剧本理论为分析提供了理论框架。我们的研究结果为AR4D项目中技术和获取的重新铭文提供了例子,导致不同参与者之间的权衡和权力转移。我们的结论是,将AR4D理解为具有自己的科学文化的行动者网络的一部分提供了重要的学习基础。我们建议在第四期研究中更广泛地应用STS,以探索这些网络的性质,突出使技术长期为用户服务的原因。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Farmers and scientists in AR4D: Looking at a watershed management project through an STS lens
ABSTRACT Agricultural Research for Development (AR4D) provides the interface for the meeting of farmers and scientists. This is a meeting of different social worlds, contesting agendas, cultures of cooperation and networks of actors. Like in other disciplines, scientists in AR4D have developed their own culture of science. However, the role of their culture of science in the negotiations and encounters with farmers’ social worlds is rarely discussed. Analysing AR4D with a theoretical framework based on Science and Technology Studies (STS) helps us to highlight important issues of power and access in AR4D. The goal of this paper is to demonstrate how the introduction of certain technologies has interacted with the lives of people in an AR4D project in Ethiopia, and to highlight the potential and limitations of applying STS to AR4D. We interviewed farmers, scientists, extensionists, policy makers and donors associated with an AR4D project in the Ethiopian Highlands using qualitative social research approaches. Akrich’s theory on scripts provided the theoretical framework for analysis. Our findings provide examples for the re-inscription of technology and access in an AR4D project, leading to trade-offs and shifting of power between different actors. We conclude that understanding AR4D as part of a network of actors with its own culture of science provides an essential learning ground. We recommend STS to be applied more widely in AR4D to explore the nature of these networks to highlight what makes technology work for users in the long term.
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