The influence of video prompting with embedded safety checks to teach child passenger safety restraint skills
Bibliographic record
Abstract
Motor vehicle collisions are among the leading causes of unintended injury-related deaths among children under the age of 14. The primary cause of these deaths is the improper use of child passenger safety restraints (CPSRs). Correctly installed CPSRs can decrease the risk of fatal injury by 45% to 95%. To date, no studies have used video prompting with embedded safety checks to teach correct CPSR installation and harnessing in the absence of researcher-delivered instruction and feedback. We used a concurrent multiple-baseline-across-participants design to evaluate the efficacy of a video-prompting procedure with embedded safety checks to teach four prospective parents and caregivers CPSR installation and harnessing skills. All participants learned to perform these skills, and these effects maintained for 4 weeks. Furthermore, this training improved all participants' performance of an untrained installation position, vehicle, and harnessing skill, and these effects were largely maintained for 4 weeks.
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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 | 0.003 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".