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GM trees on trial in a field: Reductionism, risks and intractable biological objects

机译:在一个领域中试用的转基因树:还原性,风险和难处理的生物物体

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Identification of GM plants with their internal molecular-genetic qualities serves transformation of living organisms into identifiable commodities and objects of regulation. From molecular reductionist assump-1 tions it also follows that scientific research is to be based on experiments that allow analysis of genetic influence in isolation. In this paper, I analyse molecular reductionism 'in action' by means of an ethnographic case study, focusing on the practices and transformations through which a field trial of transgenic trees created understanding of the risks or risklessness of the trees. The results show how the mobilisation of the field trial design, choosing of key analytical scales and formation of the research team stabilised the paths that experimentation was to follow. The scientists took the emerging inconsistencies and surprises calmly, indicating that unexpected events are an essential part of a scientific process. However, surprises could matter only in relation to the testing arrangements. Therefore, what could become visible and what could make a difference for the constitution of risk/risklessness were the fluctuations that the particular analytical assemblages defined as significant from the outset. Meanwhile, it was impossible to treat the trees and the field ecosystem as mutually constitutive. Nevertheless, there is no reason to think of knowledge production concerning transgenic organisms in deterministic terms. First, scientists are bound to be complexly engaged with the ecosystems that they are supposed to sort out. Second, consideration of the public lessons of experiments may elicit problems and limitations of molecular reductionism.
机译:鉴定具有内部分子遗传学特性的转基因植物有助于将活生物体转化为可识别的商品和调控对象。从分子还原论者的假设出发,科学研究也应基于允许孤立分析遗传影响的实验。在本文中,我将通过人种学案例研究来分析分子还原论的“作用”,重点是实践和转化,通过这些实践和转化,转基因树的田间试验使人们了解了树的风险或无风险。结果表明,现场试验设计的动员,关键分析量表的选择以及研究团队的形成如何稳定了试验的路径。科学家们冷静地对待了新出现的矛盾和惊奇,表明意外事件是科学过程的重要组成部分。但是,仅对测试安排而言,意外可能很重要。因此,从一开始就可以将特定分析组合定义为重要的波动变成可见的,并且可以对风险/无风险的构成有所不同。同时,不可能将树木和田间生态系统视为互为构成。然而,没有理由以确定性的方式考虑有关转基因生物的知识生产。首先,科学家注定要与他们应该挑选出的生态系统进行复杂的接触。其次,考虑公共实验课可能会引起分子还原论的问题和局限性。

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