Review: parenting interventions can reduce unintentional injuries in children and increase use of safety practicesCommentary
Bibliographic record
Abstract
D Kendrick Dr D Kendrick, University of Nottingham, Nottingham, UK; denise.kendrick@nottingham.ac.uk Do parenting interventions reduce unintentional injuries in children and increase use of safety equipment and practices? Studies selected compared individual-based or group-based parenting interventions with no intervention (control) in parents of children ⩽18 years of age and reported ⩾1 of the outcomes listed below. Interventions had to have a specified protocol, manual, or curriculum to change parenting knowledge, attitudes, or skills. Outcomes were self-reported or medically attended unintentional injury or injury of unspecified intent, Home Observation for Measurement of the Environment (HOME) scores (higher score = safer home environment), possession and use of home safety equipment, and safety practices (eg, unsafe hot water temperature). Meta-analysis could not be done for home …
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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 | 0.006 | 0.047 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.009 | 0.004 |
| Insufficient payload (model declined to judge) | 0.010 | 0.004 |
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".