We have conducted a topic modelling analysis on our corpus of 11 academic journals and created a model with 100 potential ‘topics’. Topics in this sense are collections of words and do not necessarily represent content topics in the traditional sense, like ‘environment protection’ for example. Rather, these topics are groups of words that statistically tend to co-occur in the same paragraphs. Continue Reading
Paper labelling was an exercise we categorised papers published in the journal of Global Environmental Change (GEC) in order to gain further insights into the types of papers that were published in the journal and to aid the interpretation of other analyses we employed. The papers were labelled, or categorised, in a bottom-up approach in which categories were established by reading a number of papers from the journal.
Initially we developed a system with seven categories, but these proved either too specific or too closely related, resulting in poor agreement when we categorised papers independently. Thus the number of categories was reduced and their description broadened. The final set included four categories: 1) Empirical, 2) Policy discussion, 3) Research agenda and Research Framework and 4) Other papers. Using this framework we have achieved a reasonable agreement rate (76.6%) between two researchers. Continue Reading