2024 edition of the Rourke Baby Record
Bibliographic record
Abstract
OBJECTIVE: To assist busy primary care providers caring for infants and young children and their families by providing them with the most recent recommendations and supportive evidence included in the 2024 edition of the Rourke Baby Record (RBR). QUALITY OF EVIDENCE: Articles from pediatric preventive care literature (January 2019 to March 2023) were reviewed for relevance and quality of evidence. When available, evidence from systematic reviews, relevant clinical guidelines, and clinical trials were incorporated. In the absence of high-level evidence, observational studies and expert opinion on the topic were included. Primary research studies were reviewed and critically appraised using a modified protocol. MAIN MESSAGE: Notable updates in the 2024 edition of the RBR include the promotion of early relational health for families; identification of targeted support and resources as opposed to labelling of high-risk groups; guidance on culturally safe care; clarification and evidence-based adjustments of the age of achievement of some developmental surveillance milestones; recommendations on plant-based beverages, vegetarian, and vegan diets; screening considerations for iron deficiency; dangers of ingestion of button batteries and cannabis edibles; literacy and socioemotional benefits of reading, singing, and storytelling; the importance of unstructured outdoor play; the environment's effect on children's health; the significance of sentinel injuries; acholic stools; and the normal presence and abnormal persistence of developmental (primitive) reflexes. CONCLUSION: Building on its 40-year history, the 2024 RBR provides freely available, evidence-informed recommendations to guide clinicians in providing effective, up-to-date, and comprehensive preventive pediatric care. Despite the challenging and evolving landscape of primary health care delivery, the RBR will continue to support primary care providers.
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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 | 0.018 | 0.136 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.011 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.114 | 0.095 |
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".