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Agricultural Science in the Wild: A Social Network Analysis of Farmer Knowledge Exchange

机译:野生农业科学:农民知识交流的社会网络分析

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摘要

Responding to demands for transformed farming practices requires new forms of knowledge. Given their scale and complexity, agricultural problems can no longer be solved by linear transfers in which technology developed by specialists passes to farmers by way of extension intermediaries. Recent research on alternative approaches has focused on the innovation systems formed by interactions between heterogeneous actors. Rather than linear transfer, systems theory highlights network facilitation as a specialized function. This paper contributes to our understanding of such facilitation by investigating the networks in which farmers discuss science. We report findings based on the study of a pastoral farming experiment collaboratively undertaken by a group of 17 farmers and five scientists. Analysis of prior contact and alter sharing between the group’s members indicates strongly tied and decentralized networks. Farmer knowledge exchanges about the experiment have been investigated using a mix of quantitative and qualitative methods. Network surveys identified who the farmers contacted for knowledge before the study began and who they had talked to about the experiment by 18 months later. Open-ended interviews collected farmer statements about their most valuable contacts and these statements have been thematically analysed. The network analysis shows that farmers talked about the experiment with 192 people, most of whom were fellow farmers. Farmers with densely tied and occupationally homogeneous contacts grew their networks more than did farmers with contacts that are loosely tied and diverse. Thematic analysis reveals three general principles: farmers value knowledge delivered by persons rather than roles, privilege farming experience, and develop knowledge with empiricist rather than rationalist techniques. Taken together, these findings suggest that farmers deliberate about science in intensive and durable networks that have significant implications for theorizing agricultural innovation. The paper thus concludes by considering the findings’ significance for current efforts to rethink agricultural extension.
机译:为应对转变的农作方式的需求,需要新的知识形式。鉴于其规模和复杂性,无法通过线性转移解决农业问题,在线性转移中,专家开发的技术通过扩展中介机构传递给农民。关于替代方法的最新研究集中于由异质参与者之间的相互作用形成的创新系统。系统理论将线性化网络促进作为一种特殊功能,而不是线性转移。通过调查农民讨论科学的网络,本文有助于我们对这种便利化的理解。我们报告的发现是基于一组17位农民和5位科学家共同进行的一项牧场农业实验的研究。分析小组成员之间的先前联系和共享变更,表明网络紧密联系且分散。已经使用定量和定性方法研究了有关该实验的农民知识交流。网络调查确定了在研究开始之前与谁联系以获取知识的农民,以及在18个月后他们与谁讨论了该实验。不限成员名额的访谈收集了有关农民最有价值的联系的声明,并且对这些声明进行了主题分析。网络分析显示,农民与192人讨论了该实验,其中大多数是农民。具有紧密联系和职业同质联系的农民比那些松散联系和多样化联系的农民更能发展网络。主题分析揭示了三个总的原则:农民重视人传授的知识而不是角色,对农业经验给予特权,并用经验主义者而不是理性主义者来发展知识。综上所述,这些发现表明,农民在集约化和持久性网络中对科学进行了深思熟虑,这对理论化农业创新具有重要意义。因此,本文的结论是考虑研究结果对当前重新思考农业推广工作的意义。

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