Country Is Yarning to Me: Worldview, Health and Well-Being Amongst Australian First Nations People
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Health inequalities experienced by Australian First Nations People are amongst the most marked in the world, with First Nations People dying some ten years earlier than non-Indigenous Australians. The failure of existing responses to health inequalities suggests new knowledges and questions that need to be explored. It is likely that these new knowledges sit outside of western research or practice paradigms. Through the Indigenous practice of yarning, the importance of worldview and Country emerged as an under-acknowledged social determinant of Australian First Nations People well-being. Yarning is a process of storytelling that involves both sound and silence. It requires embodied deep listening through which stories emerge that create new knowledge and understanding. We anchor our learning by re-telling John’s creation story, a story of healing through discovering his Aboriginal Worldview through reconnecting to Country. Country for First Nations People is more than a physical place; it is a place of belonging and a way of believing. We argue for the recognition of trauma, recognition of diversity and the use of yarning in social work practice. We conclude that reconnecting to Aboriginal Worldview provides hopeful insights into the well-being of Australia’s First Nations People and the social determinants of health.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.024 | 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) | 0.000 | 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 it