‘Handing down of beautiful knowledge’: Yarning with workers about feeding practices and mealtimes in Australian First Nations families
Bibliographic record
Abstract
Mealtimes and feeding practices are shaped by culture and have long-term implications for social and emotional wellbeing. To date, there has been little research in Australia that has focused on First Nations families' feeding practices and mealtimes. This co-designed study aimed to explore First Nations' families feeding practices through yarning circles with workers (n = 14) at an Aboriginal Community Controlled Organization. Most workers (79%) were Aboriginal and/or Torres Strait Islander and all worked directly with First Nations families. Using thematic analysis, four themes were inductively identified from the yarns: the importance of childhood experiences, history, and intergenerational knowledges; mealtimes as a point of connection and wellbeing; the impact of structural barriers on feeding practices; and the important roles of First Nations workers supporting families with feeding difficulties. Workers described how First Nations families' feeding practices and mealtimes are informed by cultural values and knowledge that have been passed down through generations. Yet throughout the yarns, participants highlighted the impact of historical and current structural factors (e.g., cost of living, child removal, housing) that affect families' ability to engage in feeding practices that align with their beliefs and culture. Workers described several strengths-based approaches they use to support families, including community-led mealtime groups, liaising with mainstream health services, and providing a respectful space. We propose that the Social and Emotional Wellbeing model is a holistic strengths-based resource for workers to conceptualize First Nations families' strengths, values, and challenges in relation to feeding and mealtimes. More co-designed research including the perspectives of First Nations families is needed to better understand healthy and culturally aligned feeding and mealtime practices.
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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 | 0.009 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.022 | 0.014 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.002 | 0.004 |
| 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 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".