College of Letters & Science
Permanent URI for this communityhttps://scholarworks.montana.edu/handle/1/37
The College of Letters and Science, the largest center for learning, teaching and research at Montana State University, offers students an excellent liberal arts and sciences education in nearly 50 majors, 25 minors and over 25 graduate degrees within the four areas of the humanities, natural sciences, mathematics and social sciences.
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Item Bounded Stories(Wiley, 2018-11) Shanahan, Elizabeth A.; Raile, Eric D.; French, Kate A.; McEvoy, JamieNarrative Policy Framework (NPF) and framing scholars share an interest in how the construction of policy arguments influences opinions and policy decisions. However, conceptual clarification is needed. This study advances the NPF by clarifying the meaning and function of frames and narrative, as well as their respective roles in creating policy realities. We explore sociological and psychological roots of framing scholarship and map these onto NPF’s science of narratives philosophy, suggesting that narratives can reveal internally held cognitive schemas. We focus on issue categorization frames as boundaries for narrative construction. Within these bounds, narrative settings further focalize the audience by specifying where action toward a solution takes place. Based on 26 interviews with floodplain decision makers in Montana, we capture internally held cognitions through the assemblage of issue categorization frames and narrative elements. We find that settings can traverse issue categorization frames and policy solutions, with actions of characters that unfold within the setting being key. Similarly, we find that a single issue categorization frame can contain multiple different narratives and that individuals may simultaneously hold multiple different narratives internally. Overall, this study contributes to policy process research through establishment of connections among narratives, issue categorization frames, and cognitive schemas.Item Characters matter: How narratives shape affective responses to risk communication(Public Library of Science, 2019-12) Shanahan, Elizabeth A.; Reinhold, Ann Marie; Raile, Eric D.; Poole, Geoffrey C.; Ready, Richard C.; Izurieta, Clemente; McEvoy, Jamie; Bergmann, Nicolas T.; King, HenryIntroduction. Whereas scientists depend on the language of probability to relay information about hazards, risk communication may be more effective when embedding scientific information in narratives. The persuasive power of narratives is theorized to reside, in part, in narrative transportation. Purpose. This study seeks to advance the science of stories in risk communication by measuring real-time affective responses as a proxy indicator for narrative transportation during science messages that present scientific information in the context of narrative. Methods. This study employed a within-subjects design in which participants (n = 90) were exposed to eight science messages regarding flood risk. Conventional science messages using probability and certainty language represented two conditions. The remaining six conditions were narrative science messages that embedded the two conventional science messages within three story forms that manipulated the narrative mechanism of character selection. Informed by the Narrative Policy Framework, the characters portrayed in the narrative science messages were hero, victim, and victim-to-hero. Natural language processing techniques were applied to identify and rank hero and victim vocabularies from 45 resident interviews conducted in the study area; the resulting classified vocabulary was used to build each of the three story types. Affective response data were collected over 12 group sessions across three flood-prone communities in Montana. Dial response technology was used to capture continuous, second-by-second recording of participants’ affective responses while listening to each of the eight science messages. Message order was randomized across sessions. ANOVA and three linear mixed-effects models were estimated to test our predictions. Results. First, both probabilistic and certainty science language evoked negative affective responses with no statistical differences between them. Second, narrative science messages were associated with greater variance in affective responses than conventional science messages. Third, when characters are in action, variation in the narrative mechanism of character selection leads to significantly different affective responses. Hero and victim-to-hero characters elicit positive affective responses, while victim characters produce a slightly negative response. Conclusions// In risk communication, characters matter in audience experience of narrative transportation as measured by affective responses.