MétaCan
Menu
Back to cohort
Record W2551558365 · doi:10.1097/jtn.0000000000000240

Get the Message: A Teen Distracted Driving Program

2016· article· en· W2551558365 on OpenAlexaboutno aff
Ruth Adeola, Ashleigh Omorogbe, Abree Johnson

Bibliographic record

VenueJournal of Trauma Nursing · 2016
Typearticle
Languageen
FieldEngineering
TopicTraffic and Road Safety
Canadian institutionsnot available
Fundersnot available
KeywordsDistracted drivingPoison controlInjury preventionPsychologyApplied psychologySuicide preventionPhoneOccupational safety and healthHuman factors and ergonomicsPopulationDistractionMedicineMedical emergencyEnvironmental health

Abstract

fetched live from OpenAlex

Elimination of distracted driving is becoming a public health priority. Each day, an average of 8 people are killed due to a distracted driver in the United Sates. Although all drivers are at risk, research has indicated that teenage drivers are overrepresented in motor vehicle crashes due to distracted driving. Teenage drivers are hindered by limited driving experience, and the illusion of invincibility is a common phase in social and cognitive adolescent development. "Get the Message: A Teenage Distracted Driving Program" was established at the R Adams Cowley Shock Trauma Center to identify, define, and measure the factors that contribute to distracted driving in teens. A convenience sample of 1,238 teenagers in this study represented all 50 states in the United States, the District of Columbia, Puerto Rico, Canada, and 21 other countries. At the beginning of each program, a presurvey is administered to assess baseline behavior, attitude, and knowledge regarding distracted driving. After completing the program, teens complete a postsurvey to measure proposed changes in driving behaviors, attitude, and knowledge. The program employs the use of a slide presentation, hospital tour, video, and survivor's testimony to influence teen driving behaviors and increase knowledge. Research has indicated that an increase in the Health Belief Model constructs may enhance engagement in health-promoting behaviors, such as safe driving practices in teens. Based on the postsurvey results, the reduction in projected phone use while driving in this teen population indicates the effectiveness of this hospital-based teen distracted driving program.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.992
Threshold uncertainty score0.223

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 head0.247
Teacher spread0.238 · 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 designOther design
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

Citations16
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Trauma NursingSame topicTraffic and Road SafetyFrench-language works237,207