Designing and Testing a Shaken Baby Syndrome Prevention Program— <i>The Period of PURPLE Crying: Keeping Babies Safe in North Carolina</i>
Bibliographic record
Abstract
Each year infants die or are permanently disabled at the hands of their caregivers by abusive head trauma, more commonly known as Shaken Baby Syndrome (SBS). Current medical research confirms the central role of infant crying in triggering shaking by caregivers; anecdotally, inconsolable crying is the most common explanation given by abusers. Although SBS prevention efforts have been initiated, most remain unevaluated. This article provides an overview of a 5-year, evidence-based SBS-prevention program called The Period of PURPLE Crying: Keeping Babies Safe in North Carolina from a social marketing perspective. The project includes three components: (1) in-hospital education for parents of every newborn at all 86 hospitals/birthing centers in North Carolina; (2) reinforcement in community settings such as prenatal visits to health departments or well-child care visits to primary care providers; and (3) a media campaign.
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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 | 0.007 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".