Embedding the Model of Engaging with Communities Collaboratively (MECC) in the Jandu Yani U (For All Families) Project in Aboriginal communities of the Fitzroy Valley, Western Australia
Bibliographic record
Abstract
This study evaluated the use of the Model of Engaging Communities Collaboratively (MECC) to guide the Jandu Yani U (For All Families) project, in which the Triple P – Positive Parenting Program was collaboratively adapted for use in very remote Aboriginal communities in Western Australia. The communities’ responses to the MECC processes were evaluated through interview-style or selfadministered surveys, semiformal interviews, focus group discussions and storytelling. The MECC processes were acceptable across all groups (mean score 3.86 on a 5-point acceptability scale). Qualitative data supported and gave context to the quantitative findings, demonstrating the acceptability and utility of the approach. The MECC provided a valuable framework for Aboriginal community engagement, program dissemination and implementation of research.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".