PS018 Task-Shifting of Handheld Echocardiographic Screening for Rheumatic Heart Disease: Longitudinal Performance of Non-Experts in a School-Based Program
Bibliographic record
Abstract
Indigenous children and young peoples live with an inequitable burden of acute rheumatic fever and rheumatic heart disease. In this Review, we focus on the epidemiological burden and lived experience of these conditions for Indigenous young peoples in Australia, New Zealand, and Canada. We outline the direct and indirect drivers of rheumatic heart disease risk and their mitigation. Specifically, we identify the opportunities and limitations of predominantly biomedical approaches to the primary, secondary, and tertiary prevention of disease among Indigenous peoples. We explain why these biomedical approaches must be coupled with decolonising approaches to address the underlying cause of disease. Initiatives underway to reduce acute rheumatic fever and rheumatic heart disease in Australia, New Zealand, and Canada are reviewed to identify how an Indigenous rights-based approach could contribute to elimination of rheumatic heart disease and global disease control goals.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".