Gendered Dichotomies and Segregation Patterns in Computing Jobs in Australia
Gillian Whitehouse, Chris Diamond
Abstract
Gillian Whitehouse, Chris Diamond
Abstract
The uneven distribution of women and men in IT employment is often depicted as reflecting a distinction between ‘hard’ and ‘soft’ tasks, skills and attributes. This article uses detailed occupational data on professional computing jobs in Australia to examine the extent to which patterns of gender segregation are consistent with such dichotomies. Additionally, we draw on qualitative interview data from a set of organisational case studies for insights into the ways in which segregation patterns are reproduced and/or reshaped at the workplace level. While perceptions of gendered dichotomies were evident among many of our interviewees, overall our analysis shows considerably more complexity, with segregation patterns not necessarily aligned with clear-cut dichotomies and career directions often directly influenced by the organisation of working time in particular occupational streams.
OpenAlex reports 6 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
The uneven distribution of women and men in IT employment is often depicted as reflecting a distinction between ‘hard’ and ‘soft’ tasks, skills and attributes. This article uses detailed occupational data on professional computing jobs in Australia to examine the extent to which patterns of gender segregation are consistent with such dichotomies. Additionally, we draw on qualitative interview data from a set of organisational case studies for insights into the ways in which segregation patterns are reproduced and/or reshaped at the workplace level. While perceptions of gendered dichotomies were evident among many of our interviewees, overall our analysis shows considerably more complexity, with segregation patterns not necessarily aligned with clear-cut dichotomies and career directions often directly influenced by the organisation of working time in particular occupational streams.
Key concepts: Dichotomy, Set (abstract data type), Perception, Sociology, Psychology, Computer science, Epistemology, Philosophy