An Antidote to the Foetal Image? The Role of Creative Performance Counterprotest in Contemporary Abortion Activism

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How can pro-choice activists counteract the hegemony of the foetal image which has, for decades, served as a highly effective tool for anti-abortion activists worldwide? Via qualitative interviews and secondary data analysis, this article analyses the work of two Irish ‘pro-choice’ activist groups, Radical Queers Resist<i> </i>and Angels for Choice – active in the campaign to repeal the constitutional abortion ban in 2018 – to argue that creative, performance counterprotests serve to counteract the hegemony of the foetal image in three ways. Firstly, by using their bodies to ‘block’ graphic foetal imagery exhibits, pro-choice activists reclaim political and affective territory and contest the representation of abortion in these images as a ‘violent’ or ‘unnatural’ act. Secondly, their use of specific protest objects and costumes – in this case, LGBTQ flags and white angel costumes – offer an alternative visual and moral framing which destigmatises and reconstitutes abortion, in this case, as a cornerstone of sexual freedom and as a ‘divine right’. Lastly, this article argues that creative performance counterprotests provide an effective challenge to the foetal image because they focalise a new body-ontology; one which dislodges the ‘object-body’ of the foetus and prioritises the ‘lived’ bodily experience of women and abortion-seekers, at the centre of contemporary abortion rights debates.

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While secondary data analysis of quantitative data has become commonplace and encouraged across disciplines, the practice of secondary data analysis with qualitative data has met more criticism and concerns regarding potential methodological and ethical problems. Though commentary about qualitative secondary data analysis has increased, little is known about the current state of qualitative secondary data analysis or how researchers are conducting secondary data analysis with qualitative data. This critical interpretive synthesis examined research articles (n = 71) published between 2006 and 2016 that involved qualitative secondary data analysis and assessed the context, purpose, and methodologies that were reported. Implications of findings are discussed, with particular focus on recommended guidelines and best practices of conducting qualitative secondary data analysis.

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Qualitative Secondary Data Analysis remains severely underutilized in Human Development and Family Sciences (HDFS). In this paper, we revisit the topic of qualitative secondary data analysis, exploring complications and possibilities. Major barriers to qualitative secondary data analysis are archiving data, availability of datasets, and knowledge and explicit models of qualitative data reanalysis. Foregrounding the importance of multilogicality, qualitative secondary data analysis moves away from linear, unidimensional, and restricted analyses and understandings. With exceptions, little published discussion exists about philosophical considerations and analytical tools that could be used for qualitative secondary data analysis within HDFS. In response to this deficit, we offer ideas and examples of qualitative secondary data analyses from our datasets. By reopening this can of words, we hope to (re) generate more discussion and encourage a greater number of HDFS scholars to archive their qualitative datasets and reuse existing qualitative datasets.

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Shared qualitative data – such as interview or focus group transcripts – can be used for secondary qualitative data analysis (SQDA). Yet, much archived qualitative data remains unused after primary analysis. Applications and guidance on how to employ SQDA are rare. We use an example application of SQDA studying informal institutions and resilience in Sub-Saharan Africa to show: First, SQDA depends on how primary researchers share ‘raw’ qualitative data and additional documentation to understand primary context. Second, deductive and inductive uses of SQDA require varying engagement with primary data. Third, current practices of participant consent often do not consider potential SQDA. Fourth, SQDA is not less time-consuming than primary data research but offers different benefits, such as expanding the comparative sample of cases or avoiding research fatigue of studied communities. Going forward, SQDA requires greater consensus on the instruments (e.g. transcripts and participant consent forms) used by researchers and further applications of hypothesis-testing and hypothesis-generating designs.

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  • Research Article
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29 Sharing qualitative health and social care research data: key stakeholder views
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