English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/48952
Share/Impact:
Statistics
logo share SHARE   Add this article to your Mendeley library MendeleyBASE
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:

Title

From risk assessment to in-context trajectory evaluation - GMOs and their social implications

AuthorsPavone, Vincenzo ; Goven, Joanna; Guarino, Riccardo
Issue Date2-Feb-2011
PublisherSpringer
CitationEnvironmental Sciences Europe 23(1) : 3- (2011)
AbstractAbstract Background Over the past 20 years, genetically modified organisms (GMOs) have raised enormous expectations, passionate political controversies and an ongoing debate on how these technologies should be assessed. Current risk assessment procedures generally assess GMOs in terms of their potential risk of negatively affecting human health and the environment. Can this risk-benefit approach deliver a robust assessment of GMOs? In this paper, we question the validity of current risk assessment from both a social and an ecological perspective, and we elaborate an alternative approach, namely in-context trajectory evaluation. This paper combines frame analysis, context analysis and ecosocial analysis to three different case studies. Results Applying frame analysis to Syngenta's recent campaign 'Bring plant potential to life', we first de-construct the technosocial imaginaries driving GMOs innovation, showing how the latter endorses the technological fix of socioeconomic problems whilst reinforcing the neoliberal sociopolitical paradigm. Applying context analysis to biopharming in New Zealand, we then explore local practices and knowledge, showing that particularities of context typically omitted from risk assessment processes play a key role in determining both the risks and the potential benefits of a technology. Finally, drawing from the Italian case, we outline through ecosocial analysis how the lack of long-term studies, further aggravated by current methodological deficiencies, prevent risk assessment from considering not only how GMOs affect the environmental context but also, and most importantly, the way people live in, and interact with, this context. Conclusion Incorporating frame analysis, context analysis and ecosocial analysis, in the form of in-context trajectory evaluation, into the assessment of GMOs can improve the social compatibility, political accountability and ecological sustainability of its outcomes.
URIhttp://hdl.handle.net/10261/48952
Identifiershttp://dx.doi.org/10.1186/2190-4715-23-3
Appears in Collections:(CCHS-IPP) Artículos
Files in This Item:
File Description SizeFormat 
2190-4715-23-3.xml87,94 kBXMLView/Open
2190-4715-23-3.pdf288,84 kBAdobe PDFThumbnail
View/Open
Show full item record
Review this work
 


WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.