Understanding the Experiences of Temporary Post-Study Work Migrants in Australia
Notice bibliographique
Résumé
Temporary migration is a defining feature of Australia that brings numerous economic and socio-cultural benefits. In recent times, temporary migration policy has increasingly targeted international students to stay and work in Australia after graduation via the Post-Study Work (PSW) Visa Stream. This shift in migration policy has been driven by four policy objectives. First, address labour shortages. Second, deliver greater fiscal outcomes through new residents who create increased spending but with low costs related to limited social welfare access. Third, enhance the protection of temporary work migrants from exploitative labour practices through a state sponsored visa program. Finally, strengthen Australia’s competitiveness in the global higher education sector by offering international students the opportunity to work in Australia after graduation. Consequently, PSW migration may play a critical role in the post-COVID-19 recovery of Australia’s economy. Yet these economically focused policies are often criticised for the superficial consideration of other important factors driving migration, specifically factors identified in leading theories of human migration. While the existing literature provides empirical evidence on barriers to employment for PSW migrants related to economic policies, little research exists on the impact of these policies on the employment and social experiences of these migrants. The aim of this thesis is to understand the motivations of South Asian migrants in the PSW visa program to migrate to Australia, explore their actual lived experiences and identify how migration policy influences those experiences. The research uses a phenomenological, qualitative research approach, through twenty-one individual semi-structured interviews conducted with PSW migrants from Nepal, India, Pakistan, and Sri Lanka. The data is thematically analysed using a theoretical framework that combines economic and social-capital theories of human migration to classify the motivations and actual experiences of these migrants and describe how migration policy shapes actual experiences. This research contributes with empirical evidence to the scholarly knowledge of the PSW migration as a complex, multi-factor process. Findings reveal PSW migrants’ motivation to migrate is triggered by a desire to enhance career opportunities and life prospects. However, the selection of a destination is influenced by the existence of social networks and border legislation in the host country. Findings also contribute to the scholarly knowledge on the critical role of higher education in shaping the migration decision. Particularly, this research evidences the critical role of scholarships, curriculum, and international student agents in selecting a host country. Finally, this thesis identifies how current migration policies in Australia negatively impact on the experiences of PSW migrants in securing accommodation at arrival and finding a job in their chosen field of education. The thesis concludes with recommendations for future research to validate findings in the context of Australia, and identify similarities in competing markets such as Canada, the UK, and the US.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,012 | 0,011 |
| Communication savante | 0,005 | 0,004 |
| Science ouverte | 0,002 | 0,008 |
| Intégrité de la recherche | 0,002 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».