The Indigenous Resiliency Project: a worked example of community-based participatory research
Bibliographic record
Abstract
Community-based participatory research (CBPR) is often cited as a suitable methodological approach for academic researchers wanting to work collaboratively with Indigenous communities. This paper describes the Indigenous Resiliency Project currently being conducted in Redfern, Townsville and Perth. This case study is used to demonstrate how a group of university-based researchers and Aboriginal Community Controlled Health Services have used CBPR to work with young Indigenous Australians to explore young people's perspectives on resilience in relation to bloodborne viruses and sexually transmissible infections. This paper also describes some initial benefits gained through the process of developing the Indigenous Resiliency CBPR Project, such as: developing research capacity; establishing relationships between community organisations and research institutions; and prioritising ethical and social considerations in the conduct of research. A commentary on the experience of one health worker involved in the project accompanies the paper.
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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 | 0.041 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.027 | 0.016 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.003 | 0.012 |
| Research integrity | 0.003 | 0.005 |
| 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".