Growing local food: charting meaning emergence through the dynamics of discourse, rhetoric and framing
Date
2020-08-28
Authors
Karmali, Shazia
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Abstract
This dissertation seeks to understand how new meanings emerge in the context of institutional change. Existing research seeking to understand shifts in meaning has primarily accessed meaning, across numerous contexts, via the three key constructs of discourse, rhetoric, or framing. Within the context of the emergence of the local food movement in Canada, I employ a mixed methods approach using term frequencies, topic modelling and qualitative content analysis, within a computational grounded theory framework for Big Data analysis. My data consists of all articles containing any mention of the term “local food” in popular Canadian press over 37 years from 1978-2014, a database totalling 31,421 articles. My results show that firstly, new meanings pertaining to local food emerged rapidly over the 37-year period. The emergence of a new meaning for local food, associated with the politicization of food production occurred in the second half of my dataset, whereas the first half was marked by connotations of poverty and hunger, associated with the local food bank. Secondly, unexpected actors were found to significantly impact the propulsion of meaning change, by establishing new vocabularies surrounding the term “local food”. Finally, this dissertation shows that the new meanings associated with local food emerged as a result of discursive opportunities, momentarily arising through the confluence of discourse, rhetoric and framing. I propose an emergent process model of meaning change and, further, propose that discursive opportunity structures can be better understood through the metaphor of an emergent property.
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Keywords
Discourse, Rhetoric, Framing, Dynamic Topic Modeling, Topic Modeling, Big data, Discursive Opportunity Structure, Institutional Change, Meaning, Institutional Theory