Two measures for identifying the perception of risk associated with the introduction of transgenic plants.
International Conference on Science and Technology Indicators. Hinxton Cambridge, GBR, 1998/06/04.
The interweaving of three different sorts of software based on different algorithms (co-word analysis and downward hierarchical classification) and applied on a file (in the field of risk assessment through the introduction of transgenic plants) extracted from the CAB (Commonwealth Agricultural Bureau) data base, has enable us to provide three types of results : Leximappe provides a synthetic image from clusters of key-words.
The main themes were identified.
Alceste improves a corpus'characterization and allows a logical reading of it, thanks to the creation of categories, along with their mutual dependencies, the peculiar meaning of each and their division in time.
Moreover, Alceste allows us to perceive the contexts of the contents previously identified under Leximappe.
Sampler allows us to go into the details of the terms association in graphical form and detail the specific orientations of the corpus, especially with the inscription of weak signals.
Finally, this software, applied from the categories drawn from Alceste, offers for each category a meaningful graphic representation.
We can argue that the different ways of measuring and presenting results are complementary since they highlight different aspects of risk assessment carried by different actors, as it is underlined in social science studies of public controversy. (...)
Mots-clés Pascal : Plante transgénique, Organisme génétiquement modifié, Risque, Scientométrie, Bibliométrie, Logiciel, Etude comparative, Cartographie information, Mot associé
Mots-clés Pascal anglais : Transgenic plant, Genetically modified organism, Risk, Scientometrics, Bibliometrics, Software, Comparative study, Information mapping, Coword
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Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 99-0293798
Code Inist : 001A01A02. Création : 16/11/1999.