After the conclusion of Round-2, the ranked lists for each category were analyzed statistically to determine salience as an indicator of panel consensus. The data was entered into FLARES software for cultural analysis (Wencelius, Garine, & Raimond, 2017). We generated a salience index (Smith's S), which is a function of the frequency of an item, and its average rank, across the total number of lists. Smith's S index is defined as: S = ((L- Rx + 1)/L)/N, where L is the length of each list, Rx is the rank of item X in the list, and N is the number of lists in the sample (Smith & Borgatti, 1997). The Smith's S index generates values between 0 and 1, with values closer to 1 indicating higher consensus. We ran frequency analyses of the Smith's salience indices to visualize the distribution. We selected a cut-off of 0.5 and above, representing the top 20 percent of salience values in the sample, as ‘highly salient.’ We selected a cut-off of below 0.30, which represents the bottom 50 percent of values, as ‘low salience’. For the 30 percent of values between 0.30 and 0.49, we referred to this as ‘moderate salience.’

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