Gaawaadhi Gadudha: exploring how cultural camps support health and wellbeing among Aboriginal adults in New South Wales Australia, a qualitative study
Bibliographic record
Abstract
Background: Culture and its practice is a recognised, but not well understood factor, in Aboriginal health and wellbeing. Our study aimed to explore how health and wellbeing are phenomenologically connected to cultural practices, foods, medicines, languages, and Country, through the platform of 'on-Country' camps facilitated by Aboriginal cultural knowledge holders in NSW, Australia. Methods: Our study is based on a collaboration between knowledge holders from freshwater and saltwater cultures, and Aboriginal and non-Aboriginal researchers. Three existing cultural camps on Yuwaalaraay, Gamilaraay, and Yuin-Djirringanj Country were observed as part of the study. Within the camps, eight yarning circles were conducted with 76 participants. Data were analysed inductively using literal code descriptors which were cross tabulated to identify emergent patterns relevant to the study aims. Findings: Three key areas emerged from our analysis: 1) what constitutes cultural health; 2) the way in which cultural camps provide a mechanism for improved cultural health and; 3) the key elements needed to deliver a cultural camp that provides therapeutic benefits. Camps had a positive effect on participants' social, emotional, and spiritual health and wellbeing, often described through experiences of healing or stress relief, connection with Country and each other, and engaging in cultural practices. Interpretation: 'On-Country' camps that are facilitated by place-based knowledge holders, provide a unique and promising platform that supports Aboriginal health and wellbeing through therapeutic, sensory experiences that strengthen cultural health; including cultural identity, knowledge gain and sharing, connection to Country, mob, and ancestors, and engagement in cultural practices. Access to Country and land to conduct camps remains a barrier to their delivery. Funding: This study was funded by the Australian Government's Medical Research Future Fund (MRF2009522).
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.006 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| 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".