Dissimilitude
A mediation analysis suggested that life-quality pressures in less gender-equal countries promote girls’ and women’s engagement with STEM subjects.
I can't agree with that conclusion until I see the whole report. I also know that the stats for the complex socialising factors that underlie so called choices for women are not collected yet. If the forces determining women and girls job and career choices aren't comprehensively collated, how can it be reflected in any results?
For there to be an increase in female uptake of CS, there would have to be a decline in women taking different high-status - it's the same population of people.
There will no doubt be a number of factors at play in the drop from 35% to 20% - my contention is one significant avenue was closed off for recruiting women into IT that wasn't pre-determined on having a IT grad qualification and that isn't reflected anywhere in any research I have seen. Many women grads went into IT on that route.
Computer science is computer science. There is not a gendered interpretation of it. I find the argument that it needs to be 'feminised' to appeal to women somewhat pernicious.
Again I reiterate this is one factor that is not measured at all - I am arguing it should be. The way computer science is traditionally taught does not reflect the reality of roles in IT. I see it argued again and again that you have a be a great coder to get a job at Google - certainly understanding coding and being proficient is essential but it doesn't mean that all jobs are coding based - quite the contrary. It doesn't mean that if one hasn't got an IT grad qualification that one can't be trained in technical IT work. It's just that Google et al prefer to hire men with IT qualifications rather than women and their thinking hasn't been challenged on that front until relatively recently. Hence why there algorithms etc are so male biased.
I wouldn't make any claim stronger than this - the idea that differences in occupational choice are entirely down to patriarchy, or societal bias, is bunk.
I wouldn't use the term bunk, which is pretty dismissive, however I agree that a number of factors are at play. My contention is much of the longitudinal and quantitative data doesn't exist yet to draw any safe conclusions that truely reflects the factors at play in women's career choices. Biology may be part of it ...