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 …
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".