Time to revisit tummy time: A commentary on plagiocephaly and development
Bibliographic record
Abstract
Many centres report receiving more referrals for deformational plagiocephaly since implementation of the Back to Sleep campaign. This commentary combines clinical experience, local quality improvement data and existing literature to highlight three points to help prevent and manage plagiocephaly: (1) communicating 'Back to Sleep, Tummy to Play', (2) the importance of early detection and (3) plagiocephaly as a marker of developmental risk. We recommend: (1) equal emphasis on the messages of Back to Sleep and supervised Tummy to Play, to start this messaging early and reinforce at every opportunity; (2) examination of skull shape and neck range of motion as a routine component of the newborn assessment so that caregivers can implement positioning and handling suggestions immediately and (3) physiotherapy referral for babies who have torticollis, or who show persistent or worsening plagiocephaly despite positioning and handling interventions, for further assessment and management.
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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 | 0.014 | 0.101 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.010 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.007 | 0.004 |
| Research integrity | 0.045 | 0.059 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".