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 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 | 0.045 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 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".