IS YOUR CHILD SAFE? PARENTAL AWARENESS OF CAR SEAT LEGISLATION IN A TERTIARY PAEDIATRIC EMERGENCY DEPARTMENT
Bibliographic record
Abstract
Objectives 600 child occupants were killed or seriously injured in the United Kingdom in 2006. A further 10,000 were injured during this period. Government regulations regarding child restraints were revised in September 2006. We sought to evaluate parental knowledge of the regulations and to establish the percentage of children using the correct restraint. Methods Our study was undertaken in the Emergency Department of the Royal Hospital for Sick Children in Glasgow for one week. Parents were asked to fill out a questionnaire and children were weighed and measured accordingly. Results During the one week period 313 surveys were completed. 23.9% of children were using an incorrect car seat restraint. Of parents aware that the regulations were updated in 2006, 75.5% were using the correct restraint versus 78.2% using the correct restraint of those unaware of the regulation update. For infants using rear facing car seats 31.6% of parents were unaware that when the seat was in the front passenger seat the airbag must be disabled. Conclusion Our study showed that nearly a quarter of children are still using the incorrect car seat and even parents aware of the updated guidelines did not improve upon this statistic. We gave out an information booklet containing the new guidelines in the hope of improving car seat safety locally and believe that the study shows that further education is required nationally of the regulations in order to improve parental awareness and reduce the numbers of fatalities and seriously injured children from road traffic accidents.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".