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Record W2074925165 · doi:10.1080/156609704/233/289797

Child motor vehicle occupant and pedestrian casualties before and after enactment of Child Restraint Seats Legislation in Japan

2004· article· en· W2074925165 on OpenAlexaff
E. Desapriya, Nobutada Iwase, Ian Pike, Mariana Brussoni, Michael Papsdorf

Bibliographic record

VenueInjury Control and Safety Promotion · 2004
Typearticle
Languageen
FieldMedicine
TopicAutomotive and Human Injury Biomechanics
Canadian institutionsUniversity of British Columbia
FundersJapan Society for the Promotion of Science
KeywordsLegislationOccupational safety and healthInjury preventionPoison controlPedestrianSuicide preventionHuman factors and ergonomicsEnvironmental healthPopulationPublic healthMedicineMedical emergencyEngineeringForensic engineeringBusinessTransport engineeringLawPolitical scienceNursing

Abstract

fetched live from OpenAlex

PROBLEM: Prevention of injuries to child passengers is a significant public health priority, as motor vehicle-related injuries remain a leading cause of death for children in Japan. The purpose of compulsory child restraint seats legislation in April 2000 was to reduce the number of child passengers killed or injured in motor vehicle crashes. METHODS: The objectives of this preliminary evaluation are to measure the effectiveness, benefits and usage of safety seats for child passengers aged 1-5 years by analysing the child casualty data for the period of 1997--2002. Population and vehicle miles travelled based injury and fatality rates were used to compare before and after legislation trends in child casualties. RESULTS: Despite overall increases in the use of child restraint seats (as observed by different national surveys), overall casualty rates in motor vehicle occupants in the 1-5 year age group did not change (fatalities and serious injuries) or even increased (minor injuries). CONCLUSIONS: Casualties among restrained children have not decreased since the law came to effect in the year 2000, perhaps because of incorrect usage of the seats. Given that exposure to crash environments is increasing, traffic safety advocates and public health community need to be aware of the importance of child restraints as a means of reducing the likelihood of injury. It is necessary to implement effective community-based child safety seat campaigns to disseminate the information on appropriate restraint use and to increase efforts to enforce the existing legislation.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.589
Threshold uncertainty score0.599

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.009
GPT teacher head0.249
Teacher spread0.240 · 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

Citations25
Published2004
Admission routes1
Has abstractyes

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