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Predicted probabilities from random-effect logistic regression models of the odds of being a student, by gender and time in Australia, employment status and marital status. BNLA, waves 1–5 (2013–2017). Based on results from the model presented in Table 7

Predicted probabilities from random-effect logistic regression models of the odds of being a student, by gender and time in Australia, employment status and marital status. BNLA, waves 1–5 (2013–2017). Based on results from the model presented in Table 7

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Humanitarian migrants are amongst the most marginalised population groups in countries within the Global North, including Australia. An important channel for these migrants to successfully settle into the host society and improve their socio-economic outcomes is participation in the local education system, particularly in higher-education options....

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... Being open access, enabling programs attract superdiverse student cohorts, and refugee students make up a significant proportion of enrolments. The number of refugee students in Australian universities is difficult to ascertain since official data counts them as 'domestic students' if they hold permanent visas (Stevenson & Baker, 2018) and because they are not recognised as an equity group, universities are not required to collect and report on (former) refugee status (Perales et al., 2022). The only data available for UniSA College is for the number of Humanitarian Visa (HV) holders, with data available from 2012 onwards; from 2012 to the start of 2024, there were 330 to 340 HV holders enrolled. ...
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