In this paper Paul Millar outlines the development of the University of Canterbury Quakebox project, a collaborative venture between the UC CEISMIC Canterbury Earthquakes Digital Archive and the New Zealand Institute of Language Brain and Behaviour to preserve people’s earthquake stories for the purposes of research, teaching and commemoration. The project collected over 700 stories on high definition video, and Millar is now looking at using the corpus to underpin a longitudinal study of post-quake experience.
Video of McKenzie's earthquake story, captured by the UC QuakeBox project.
A guide to the conventions used in the UC QuakeBox project transcripts.
Transcript of McKenzie's earthquake story, captured by the UC QuakeBox project.
A pdf transcript of Belle's earthquake story, captured by the UC QuakeBox project.
A pdf transcript of Rae Willis's earthquake story, captured by the UC QuakeBox project.
A pdf transcript of Andrew Oxenburgh's earthquake story, captured by the UC QuakeBox project.
A pdf transcript of Bernadette Cooney's earthquake story, captured by the UC QuakeBox project.
A pdf transcript of Participant number EG138's earthquake story, captured by the UC QuakeBox project.
A pdf transcript of participant number LY191's earthquake story, captured by the UC QuakeBox project.
A high-quality audio recording of Participant number EG138's earthquake story, captured by the UC QuakeBox project.
Natural disasters are highly traumatic for those who experience them, and they can have an immense and often lasting emotional impact (Cox et al., 2008). Emotion has been studied in linguistics through its enactment in language, and this field of research has increased over the past decades. Despite this, the expression of emotion in post-disaster narratives is a largely unexplored field of research. This thesis investigates how emotion is expressed in narratives taken from the QuakeBox corpus (Walsh et al., 2013), recorded, following the Christchurch earthquakes, in 2012 and rerecorded in 2019. I take a mixed methods approach, combining computer-based emotion recognition software and discourse analytic techniques, to explore the expression of emotion at both a broad and narrow level. Two emotion recognition programs, Empath (Fast et al., 2016) and Speechbrain (Ravanelli et al., 2021), are employed to measure the levels of positive and negative emotion detected in a wide dataset of participants, which are investigated in relation to the gender and age of participants, and the temporal difference between the first and second QuakeBox recordings. In a second phase, a subset of these participants’ narratives was analysed qualitatively, exploring the co-construction of emotion and identity through a social constructionist lens and examining the societal Discourses present in the earthquake narratives. The findings highlight the relevance of gender in the expression of emotion. Female speakers have higher levels of positive emotion than non-female speakers in the findings of both emotion recognition programs, and there is a clear gendered difference in the construction of identity in the narratives, influencing the expression of emotion. The expression of emotion also appears to be mediated by New Zealand culture. Within this, a Discourse of the Christchurch earthquakes emerges, with motifs of luck, gratitude, and community, which reflects the values of the people of Christchurch at the time. Findings reinforced in both phases of the analysis also indicate differences between the lexical content and acoustic features in the emotion expressions, supporting previous research that argues that the expression of emotion, as a performative act, does not reflect the speaker’s inner state directly. This research adds a new dimension to (socio)linguistic research on emotion, as well as providing insight into how crisis survivors display emotion in their post-disaster narratives.
