Elaborating the frames of data-frame theory

Attfield, Simon ORCID: https://orcid.org/0000-0001-9374-2481 and Baber, Chris (2017) Elaborating the frames of data-frame theory. NDM13 Naturalistic Decision Making and Uncertainty: Proceedings of the 13th International Conference on Naturalistic Decision Making, 20-23 June 2017, Bath, UK. In: 13th Bi-annual International Conference on Naturalistic Decision Making (NDM13), 20-23 June 2017, University of Bath, Bath, United Kingdom. ISBN 9780861971947. [Conference or Workshop Item]

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Abstract

As an explanation of sensemaking, data-frame theory has proven to be popular, influential and useful. Despite its strengths however, we propose some weaknesses in the way that the concept of a ‘frame’ could be interpreted. The weaknesses relate to a need to clearly contrast what we refer to as ‘generic’ vs. ‘situation-specific’ belief structures and the idea that multiple generic belief structures may be utilized in the construction of embedded situation-specific beliefs. Neither weakness is insurmountable, and we propose a model of sensemaking based on the idea of spreading activation through associative networks as a concept that provides a solution to this. We explore the application of this idea using the notion of activation to differentiate generic from situation specific beliefs.

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