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Record W2050648798 · doi:10.1080/17457300.2010.487155

An exploratory study of parents' use and knowledge of car safety seats in Beijing, China

2010· article· en· W2050648798 on OpenAlexaff
Rebecca J. Purc‐Stephenson, Jianhua Ren, Anne Snowdon

Bibliographic record

VenueInternational Journal of Injury Control and Safety Promotion · 2010
Typearticle
Languageen
FieldMedicine
TopicAutomotive and Human Injury Biomechanics
Canadian institutionsUniversity of WindsorUniversity of Alberta
Fundersnot available
KeywordsBeijingChild safetyChinaOccupational safety and healthInjury preventionPoison controlPsychological interventionSeat beltSuicide preventionHuman factors and ergonomicsCar seatEnvironmental healthMedicinePsychologyEngineeringNursingPolitical scienceLaw

Abstract

fetched live from OpenAlex

As the number of vehicles in China rapidly increases and there is no child safety seat law, the issue of road safety for children is a growing concern. The purpose of this study was to examine parents' use and knowledge of car safety seats in Beijing, China. Using a convenience sample of 843 parents, survey results showed that only 64.8% of parents used a safety restraint for their children; the remaining 35.2% of children, of which most were toddlers or school-aged children, travelled unrestrained in vehicles. Among parents who used a safety restraint, only 24.2% were using it correctly based on the child's age (for infants), weight and height. Common reasons for not using a safety seat included difficulty finding safety seats (56.6%), cost (26.1%), and a preference to hold the child (18.1%). Moreover, a large proportion of parents prematurely transitioned their child from a safety seat to seat belt. The results highlight the need to develop injury prevention interventions that communicate the benefits and encourage the use of child safety restraints in China.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.385
Threshold uncertainty score0.420

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.016
GPT teacher head0.305
Teacher spread0.289 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations34
Published2010
Admission routes1
Has abstractyes

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