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Record W2148709999 · doi:10.1071/nb09007

The Indigenous Resiliency Project: a worked example of community-based participatory research

2009· article· en· W2148709999 on OpenAlex

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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueNew South Wales Public Health Bulletin · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsnot available
FundersHealth Research Council of New ZealandNational Health and Medical Research CouncilCanadian Institutes of Health ResearchMedical Research CouncilAustralian Government
KeywordsIndigenousCommunity-based participatory researchParticipatory action researchPsychological resilienceSociologyWork (physics)Citizen journalismCommunity engagementPublic relationsPsychologyPolitical scienceEngineeringSocial psychologyEcology

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.095
metaresearch head score (Gemma)0.019
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.866
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0950.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0070.002
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.869
GPT teacher head0.652
Teacher spread0.217 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it