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Record W2165444603 · doi:10.1136/ip.8.1.27

Influence of safety gear on parental perceptions of injury risk and tolerance for children's risk taking

2002· article· en· W2165444603 on OpenAlexaff
Barbara A. Morrongiello, Kirsten Major

Bibliographic record

VenueInjury Prevention · 2002
Typearticle
Languageen
FieldMedicine
TopicInjury Epidemiology and Prevention
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsRisk compensationOccupational safety and healthHuman factors and ergonomicsInjury preventionRisk perceptionRisk assessmentEngineeringCompensation (psychology)Poison controlSuicide preventionPsychologyForensic engineeringPerceptionEnvironmental healthSocial psychologyComputer securityMedicineFamily medicineComputer science

Abstract

fetched live from OpenAlex

OBJECTIVES: Risk compensation theory has been shown to relate to how individuals behave in areas such as traffic safety and consumer product safety. The present study examines whether risk compensation theory applies to parents' judgments about school age children's permissible risk taking under non-safety gear and safety gear conditions for seven common play situations. The extent of the child's experience with the activity and parental beliefs about safety gear efficacy were examined as possible moderators of extent of children's risk taking allowed by parents. METHOD: A telephone interview was used to obtain each parent's ratings of permissible risk taking by their child (for example, speed at which child is allowed to cycle, height allowed to climb to on a climber) under safety gear and no gear conditions, and ratings of child experience and gear efficacy. RESULTS: Results confirmed risk compensation operated under all seven play situations, resulting in parents reporting they would allow significantly greater risk taking by their children under safety gear than non-safety gear conditions. Children with more experience with the activities were to be allowed greater risk taking, even when not wearing safety gear. Parents who believed more strongly in the efficacy of the safety gear to prevent injuries showed greater risk compensation. No sex differences emerged in any analyses. CONCLUSION: Results highlight the need to communicate to parents that safety gear moderates injury risk but does not necessarily guarantee the prevention of injury, particularly if children are allowed greater risk taking when wearing safety gear.

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)0.001
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 score0.111
Threshold uncertainty score0.595

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.014
GPT teacher head0.316
Teacher spread0.302 · 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

Citations53
Published2002
Admission routes1
Has abstractyes

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