Did you read the extra article on this topic? I found it fascinating! So often simplistic views of the data pit one against the other (eg male vs female) and thereby disadvantage subsets within groups (in this case “our “missing” male students...Indigenous, from low socioeconomic backgrounds and regional and remote locations”).
Interesting also that though males are missing from eg nursing and teaching they are overrepresented in leadership positions here. The same cannot be said for women in non traditional occupations eg law careers and engineering.
Did you read the extra article on this topic? I found it fascinating! So often simplistic views of the data pit one against the other (eg male vs female) and thereby disadvantage subsets within groups (in this case “our “missing” male students...Indigenous, from low socioeconomic backgrounds and regional and remote locations”).
Interesting also that though males are missing from eg nursing and teaching they are overrepresented in leadership positions here. The same cannot be said for women in non traditional occupations eg law careers and engineering.