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"Are You a TA Practitioner, Then?" - Identity Constructions in Post-Normal Science
Karen Kastenhofer1, Anja Bauer2
1Institute of Technology Assessment, Austrian Academy of Sciences, Vienna, Austria.
Abstract:
Technology assessment (TA) is a paradigmatic case for the manifold and, at times, ambiguous processes of identity formation of researchers in inter- and transdisciplinary settings. TA combines the natural, technical, and social sciences and follows the multiple missions of scientific analysis, public outreach, and policy advice. However, despite this diversity, it also constitutes a genuine community with its own discourses, conferences, and publications. To which extent "being a TA practitioner" also provides for a genuine scholarly identity is still unclear. Building on interviews with technology assessment practitioners at an academic TA institute, we ask what inter/trans/disciplinary identification patterns emerge in this field. Our analysis shows that TA practitioners adopt multiple identities, from "enthusiastic TA practitioner" to "strong interdisciplinarian" or "disciplinarian" - with distinct identity troubles inherent in all these options. We find that generational affiliation plays a vital role in identity formation. It relates to different primary orientations (towards research or advisory practices), inter/disciplinary backgrounds, contracting modes, and lengths of time spent at the TA institute. We conclude firstly, that disciplinary categories figure strongly in transdisciplinary identities; secondly, that the relation of chronos and identity warrants more substantial consideration: as time spent at a transdisciplinary institute as or as perceived options for "futuring one's identity"; thirdly, that our understanding of academic generations could profit from a more sociological conception; and, fourthly, that TA's multidisciplinary setup and threefold orientation towards science, society, and policy result in multiplying possible identities and thus making it difficult to form a stable community.
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Null and Alternative Hypotheses
The null hypothesis, denoted by H0 is a statement of no difference between the variables—they are not related. This can often be considered the status quo. As a result if you cannot accept the null, it requires some action.
The alternative hypothesis, denoted by H1 or Ha, is a claim about the...

