Kidney Health of Indigenous Children: Insights from Australia, Aotearoa New Zealand, and Canada
Bibliographic record
Abstract
Abstract Purpose of Review This review seeks to highlight the common and unique factors that impact the kidney health of Indigenous children in Australia, Aotearoa New Zealand, and Canada with a particular interest on efforts to improve their kidney health outcomes and the framework to pursue future efforts. Recent Findings In the period since the adoption of the United Nations (UN) Declaration on the Rights of Indigenous People (UNDRIP) there has been a number of studies documenting poorer renal health outcomes and potential causes amongst Indigenous paediatric populations in Australia, Aotearoa New Zealand, and Canada. There is a shortage of studies that look at interventions to improve these outcomes. Summary Poorer kidney health outcomes amongst Indigenous children are rarely genetic and appear to be more related to societal inequities. Reported efforts to improve outcomes are few but have demonstrated the ability to make change and with sustained focus on reducing inequities there is hope to improve the renal health of Indigenous children.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".