What to do about flat heads: preventing and treating positional occipital flattening.
Bibliographic record
Abstract
Across Canada there has been an increasing incidence of positional occipital flattening. This increase appears to be related to the recent change in infant sleep position to supine. In this paper, two patterns of positional occipital flattening, positional plagiocephaly and positional brachycephaly, are outlined. While there is no evidence of long-term developmental or neurological problems that result from positional occipital flattening, the infant's appearance can be distressing to parents who will then seek treatment. Prevention of positional occipital flattening requires a community approach with timely screening and early intervention should the infant's skull appear flat. Treatment involves repositioning the infant coupled with physiotherapy if there is neck muscle involvement. Should repositioning alone be ineffective, a helmet or headband program may be implemented. Neuroscience nurses can work in partnership with the community to ensure prevention strategies are implemented and timely interventions initiated.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".