The paper addresses the ways in which theoretical frameworks can aid with handling large data – providing a methodology for their examination and for aiding the LLMs and interpreting their results.
With a view to masculinities and sexism, we examined large data from parliamentary speeches and from social media:
a. Through attention to the political / historical events that resulted in particular political responses of extreme masculinity
b. Through phrases that are ‘normalised’ in patriarchy but are sexist
c. Through phrases that are known to be patriarchal
d. Through an examination of words / themes, such as ‘women’ – (in first attempts to examine parliamentary data, it seems that the word ‘women’ can be scarce in parliamentary speech of certain countries, unless there are issues that pertain to sexism).
e. Through a framing of sexist speech via dominant theoretical constructs – combining and interpreting all of the above.
To what extent do large data comply with given theoretical frameworks, and in what ways do they surpass and enlarge or shrink them? What are the ways in which combined theoretical frameworks apply, and what types of intersectionality do we encounter? Can there be a new framework for large data?
