<h1>Keyword Frequency Analysis</h1> Generally, disciplinary keyword analysis is used to identify significant aspects of a well-trod field in a predetermined domain (Chen and Xiao 2014). For food studies, a field currently seeking definition, one may employ bibliometric techniques in the opposite direction. Keyword frequency will give a stipulative definition of the field: an exhaustive list of enumerated words (and thus their synecdochic concepts) and the amount each is used in the research landscape. <h2>Keyword Crosswalking</h2> Because keyword frequency results rely on counting exact textual strings from five different database sources, the keywords needed to be crosswalked, or clustered and merged. Textual differences were cleaned through algorithmic clustering. The corpus was prepared and exported into a tabular document. This tabbed-corpus was then imported into data cleaning software (OpenRefine). OpenRefine contains several clustering methods. The number of keywords and clusters for each method, used in succession, can be found in the "FS Corpus Keyword Clustering" csv table. (Note that each text cluster was manually evaluated before merging—no merge was automatic.) After all merges, approximately 26% of the original 11,678 keywords, were found to be the same keyword with slight grammatical variations. The corpus, now crosswalked, could be accurately characterized by enumerating the 8,632 remaining keywords. <h3> Keyword Frequency Count </h3> The crosswalked-corpus file was imported into a spreadsheet. Each keyword was searched within the corpus and the frequency recorded.