First Nations Australians’ self-determination in health and alcohol policy development: a Delphi study
Bibliographic record
Abstract
Background: Recognition of the role of structural, cultural, political and social determinants of health is increasing. A key principle of each of these is self-determination, and according to the United Nations (2007), this is a right of Indigenous Peoples. For First Nations Australians, opportunities to exercise this right appear to be limited. This paper explores First Nations Australian communities’ responses to reducing alcohol-related harms and improving the health and well-being of their communities, with a focus on understanding perceptions and experiences of their self-determination. It is noted that while including First Nations Australians in policies is not in and of itself self-determination, recognition of this right in the processes of developing health and alcohol policies is a critical element. This study aims to identify expert opinion on what is needed for First Nations Australians’ self-determination in the development of health- and alcohol-related policy. Methods: This study used the Delphi technique to translate an expert panel’s opinions into group consensus. Perspectives were sought from First Nations Australians (n = 9) and non-Indigenous Peoples (n = 11) with experience in developing, evaluating and/or advocating for alcohol interventions led by First Nations Australians. Using a web-based survey, this study employed three survey rounds to identify and then gain consensus regarding the elements required for First Nations Australians’ self-determination in policy development. Results: Twenty panellists (n = 9 First Nations Australian) participated in at least one of the three surveys. Following the qualitative round 1 survey, six main themes, 60 subthemes and six examples of policy were identified for ranking in round 2. In round 2, consensus was reached with 67% of elements (n = 40/60). Elements that did not reach consensus were repeated in round 3, with additional elements (n = 5). Overall, consensus was reached on two thirds of elements (66%, n = 43/65). Conclusions: Self-determination is complex, with different meaning in each context. Despite some evidence of self-determination, systemic change in many areas is needed, including in government. This study has identified a starting point, with the identification of elements and structural changes necessary to facilitate First Nations Australian community-led policy development approaches, which are vital to ensuring self-determination.
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How this classification was reachedexpand
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 | 0.001 | 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 | 0.011 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".