Resettlement Experiences of African Migrants in Australia
Bibliographic record
Abstract
This paper reports part of a doctoral study which investigated the resettlement experiences of African migrants in Australia ( N = 115), and focuses upon the findings of those who participated in individual face-to-face interviews ( N = 30). It examines the resettlement challenges facing African migrants in Western Australia (WA), such migration having increased in recent years. Although migrating to relatively wealthy countries such as Australia may be a cause for optimism among African migrants, the challenges associated with resettlement may have a negative effect on their well-being. The findings indicate that participants experienced a variety of resettlement challenges including separation experiences, language difficulties, parenting and cultural issues, under-employment and unemployment, financial problems, and racial discrimination. The study confirms the limited existing research, contributes to a better understanding of the major challenges affecting African migrants in Australia, and has implications for the formulation of effective policies and practices aimed at mitigating resettlement challenges.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 teacher head, 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".