MétaCan
Menu
Back to cohort
Record W2125310966 · doi:10.1080/17457300903306914

Perceptions of risk among children with and without attention deficit/hyperactivity disorder

2009· article· en· W2125310966 on OpenAlexaff
Beth S. Bruce, Michael Ungar, Daniel A. Waschbusch

Bibliographic record

VenueInternational Journal of Injury Control and Safety Promotion · 2009
Typearticle
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsDalhousie University
Fundersnot available
KeywordsAcknowledgementPerspective (graphical)Risk perceptionAttention deficit hyperactivity disorderPsychological interventionInjury preventionPoison controlPerceptionAnticipation (artificial intelligence)Human factors and ergonomicsPsychologyCognitionSuicide preventionDevelopmental psychologyOccupational safety and healthClinical psychologyMedicinePsychiatryEnvironmental healthComputer security

Abstract

fetched live from OpenAlex

Traditionally, health professionals have positioned injury prevention strategies from their own perspective with little acknowledgement or understanding of the perspective of those who experience risk taking: specific populations of children with differing approaches to risk perception and problem-solving. The present study addresses this oversight by engaging children with and without attention deficit/hyperactivity disorder (ADHD) to explore the meaning of risk from their perspective. Although both groups of children reported similar processes of assessing risk, unique to children with ADHD was the overestimation of their physical abilities, intentional risk taking and anticipation of positive or no consequences of their risk taking. These findings also advance our knowledge of potentially appropriate strategies to effect change in risk taking that could influence risk of injury. Specifically, findings suggest that prevention efforts that incorporate both cognitive and social interventions are the most promising approaches. Integrating this understanding of children's perception of risk builds our knowledge about the contribution of risk perception to injury events and may help to inform future injury prevention initiatives with children with ADHD.

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 score0.032
Threshold uncertainty score0.298

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 communication0.0000.001
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 head0.045
GPT teacher head0.475
Teacher spread0.430 · 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

Citations27
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Injury Control and Safety PromotionSame topicHealth Policy Implementation ScienceFrench-language works237,207