Development of Key Principles and Best Practices for Co-Design in Health with First Nations Australians
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
BACKGROUND: While co-design offers potential for equitably engaging First Nations Australians in findings solutions to redressing prevailing disparities, appropriate applications of co-design must align with First Nations Australians' culture, values, and worldviews. To achieve this, robust, culturally grounded, and First Nations-determined principles and practices to guide co-design approaches are required. AIMS: This project aimed to develop a set of key principles and best practices for co-design in health with First Nations Australians. METHODS: A First Nations Australian co-led team conducted a series of Online Yarning Circles (OYC) and individual Yarns with key stakeholders to guide development of key principles and best practice approaches for co-design with First Nations Australians. The Yarns were informed by the findings of a recently conducted comprehensive review, and a Collaborative Yarning Methodology was used to iteratively develop the principles and practices. RESULTS: A total of 25 stakeholders participated in the Yarns, with 72% identifying as First Nations Australian. Analysis led to a set of six key principles and twenty-seven associated best practices for co-design in health with First Nations Australians. The principles were: First Nations leadership; Culturally grounded approach; Respect; Benefit to community; Inclusive partnerships; and Transparency and evaluation. CONCLUSIONS: Together, these principles and practices provide a valuable starting point for the future development of guidelines, toolkits, reporting standards, and evaluation criteria to guide applications of co-design with First Nations Australians.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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