Update on well-baby and well-child care from 0 to 5 years: What's new in the Rourke Baby Record?
Bibliographic record
Abstract
OBJECTIVE: To provide an overview of the 2009 edition of the Rourke Baby Record (RBR), which incorporates recent research in the literature relating to preventive health care for children aged 0 to 5 years. QUALITY OF EVIDENCE: Recommendations are identified as supported by good, fair, or consensus evidence, according to the classification of the Canadian Task Force on Preventive Health Care. MAIN MESSAGE: New information and recommendations are given for growth monitoring, nutrition, developmental surveillance, physical examination maneuvers, immunization schedules, and advice for parents. Anticipatory guidance updates relate to injury prevention, infant swaddling, literacy facilitation, nonparental child care, parenting skills programs, serum lead levels, over-the-counter cough and cold medications, pacifiers, antipyretics, insect repellents, and dental care and oral health. The 2009 RBR is available in English and French in both National and Ontario versions and is endorsed by the College of Family Physicians of Canada and the Canadian Paediatric Society. CONCLUSION: The RBR website (www.rourkebabyrecord.ca) provides a practical tool for well-baby and well-child care, including background information, current evidence and literature review appraisal, an interactive walk-through of the guides with links to further information and evidence, and additional practical resources.
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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 | 0.009 | 0.067 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.017 | 0.005 |
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".