Does promoting bicycle‐helmet wearing reduce childhood head injuries?
Bibliographic record
Abstract
The objectives of the study are to assess the impact of a community‐based bicycle‐helmet program aimed at children aged 5–12 years (about 140,000). A quasi‐experimental design, including a control group, was used. Sex‐ and age‐group‐based changes in the risk of bicycle‐related head injury leading to hospitalisation were measured, using rate ratios. Compared with the pre‐program period, significant risk reductions were observed during the post‐program period among both boys (RR = 0.56, 95 per cent CI = 0.40, 0.77) and girls (RR = 0.52, 95 per cent CI = 0.33, 0.82), and among both younger (RR = 0.46, 95 per cent CI = 0.31, 0.68) and older (RR = 0.63, 95 per cent CI = 0.44, 0.89) children. A significant reduction was also observable during the program phase among the groups most at risk, i.e. boys (RR = 0.94, 95 per cent CI = 0.66, 1.35) and younger children (RR = 1.07, 95 per cent CI = 0.70, 1.63). The population‐based educational program significantly decreased the risk of head injuries among boys and girls despite observable differences in the voluntary adoption rate of bicycle‐helmet wearing. The impact was more pronounced among younger children.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 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".