A scoping review of health equity considerations in children with health complexity
Bibliographic record
Abstract
Children with health complexity live with multiple health conditions and have limitations in how they can manage their everyday living. These children need specialized care, but they often do not receive the healthcare and care supports that they deserve because their care needs are complicated. Children with health complexity and their families can also face disadvantages in receiving accessible and high-quality care. Currently, we have an incomplete understanding of what these disadvantages are. We also do not know how disabilities related to these children’s health condition interact with their social and cultural background to affect their health and healthcare experiences. The goal of this project is to gather and summarize studies completed on this topic using a tool called a scoping review. This information will help plan future care so that we can better support the unique needs of children with health complexity from all social and cultural backgrounds.
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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 | 0.012 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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; both teacher heads agree on what is shown here.
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".