Mobilisation, politics, investment and constant adaptation: lessons from the Australian health‐promotion response to HIV
Bibliographic record
Abstract
ISSUE ADDRESSED: The Australian response to HIV oversaw one of the most rapid and sustained changes in community behaviour in Australia's health-promotion history. The combined action of communities of gay men, sex workers, people who inject drugs, people living with HIV and clinicians working in partnership with government, public health and research has been recognised for many years as highly successful in minimising the HIV epidemic. METHODS: This article will show how the Australian HIV partnership response moved from a crisis response to a constant and continuously adapting response, with challenges in sustaining the partnership. Drawing on key themes, lessons for broader health promotion are identified. RESULTS: The Australian HIV response has shown that a partnership that is engaged, politically active, adaptive and resourced to work across multiple social, structural, behavioural and health-service levels can reduce the transmission and impact of HIV. CONCLUSIONS: The experience of the response to HIV, including its successes and failures, has lessons applicable across health promotion. This includes the need to harness community mobilisation and action; sustain participation, investment and leadership across the partnership; commit to social, political and structural approaches; and build and use evidence from multiple sources to continuously adapt and evolve. So what? The Australian HIV response was one of the first health issues to have the Ottawa Charter embedded from the beginning, and has many lessons to offer broader health promotion and common challenges. As a profession and a movement, health promotion needs to engage with the interactions and synergies across the promotion of health, learn from our evidence, and resist the siloing of our responses.
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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 | 0.014 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.021 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.005 | 0.009 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".