Identity and belonging: refugee youth and their parents’ perception of being Australian
Bibliographic record
Abstract
People from refugee backgrounds can experience identity issues living between two cultures. Identity development for adolescents and youth, is further complicated by simultaneously having to navigate between childhood and adulthood, and expectations of parents, ethnic community, and host society.Objective: This study with refugee-background youth and adults, explored participants’ perceptions of being Australian and their sense of belonging, after migrating to Australia.Method: Study sample included a multiethnic sample of 79 participants: 46 refugee background youth, 15-26 years and 33 parents or significant family members residing in South Australia. Participants had migrated to Australia from the Middle East, South Asia, or Africa, between 1 and 15 years ago. We used a semi-structured interview protocol and data-based thematic analysis to collect and analyse individual interviews.Results: We identified the themes of acceptance, ambivalence, confusion, and rejection of an Australian identity in both youth and parent interviews, although youth interviews were more eloquent and nuanced. While most participants accepted an Australian identity and considered Australia their “home” for reasons of safety, opportunities and support available to them, others opted for a dual identity combining elements from Australia and heritage country. A few participants rejected an Australian identity but still considered Australia “home”.KEY POINTSWhat is known about this topic: Refugee-background people generally do not settle in the same way as other migrants due to pre-migration trauma and stressors associated with the resettlement process.The sociocultural and psychological challenges of negotiating acculturation are another important factors impacting on settlement outcomes for refugee-background migrants.Acculturation entails a degree of identity uncertainty, conflict and the need for identity reconstruction.What is new about the topic: Identity development and reconstruction presented on a continuum from acceptance of an Australian identity including a dual identity, ambivalence and confusion, to rejection of an Australian identity.The vast majority of refugee-background youth and parents considered themselves “Australian” and that Australia was their “home”.The perceptions of racism and discrimination affected participants’ identity development and reconstruction after resettlement although their resettlement outcomes appear to be minimally impacted.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".