Migration, Stress and the Challenges of Accessing Food: An Exploratory Study of the Experience of Recent Afghan Women Refugees in Adelaide, Australia
Bibliographic record
Abstract
This study explored the migration and food experiences of Afghani women refugees residing in Adelaide, South Australia for 2 years or less. In-depth semi-structured qualitative interviews were conducted with 10 women between May and September 2017. The data were thematically analysed, and the Social Determinants of Health Framework was used to discuss the findings. Five key themes emerged from the data. In the transition country (Iran/Pakistan), respondents experienced (i) trauma, discrimination and exclusion and (ii) familiar food culture, but food stress. In the destination country (Adelaide, Australia) respondents experienced (iii) a sense of precariousness, (iv) unfamiliar food culture and (v) challenges in accessing halal food. Afghani refugees experienced considerable stressors both in the transition and the final destination country but for different reasons. In the transition country, stresses related to the lack of social services and support, discrimination, racism and poverty seemed to have affected their ability to afford food. In Australia stressors pertaining to socioeconomic, housing and employment precariousness, as well as difficulties in accessing halal foods were identified as challenges. Furthermore, food stress in Australia was associated with the cultural appropriateness of food, the complexity of the food system, and the women's lack of skills and experiences in navigating the food system. With increasing refugee and immigration flows globally, it is necessary to acknowledge how food and social determinants intersect for refugee immigrants to ensure positive health outcomes.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.005 |
| 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".