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Record W1997849865 · doi:10.1177/0145445501253005

Evaluation of a Brief Intervention for Increasing Seat Belt Use on a College Campus

2001· article· en· W1997849865 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBehavior Modification · 2001
Typearticle
Languageen
FieldEngineering
TopicTraffic and Road Safety
Canadian institutionsMcGill University
Fundersnot available
KeywordsSeat beltIntervention (counseling)Front (military)Context (archaeology)PopulationPsychologyEngineeringMedicineEnvironmental healthGeographyAutomotive engineeringPsychiatry

Abstract

fetched live from OpenAlex

The authors evaluated a brief intervention for increasing seat belt use among the front seat occupants of cars at a junior college, in a jurisdiction with a mandatory belt use law. The intervention included public posting of performance feedback and distribution of an informational flyer to cars in target parking lot. Feedback was the display of the proportion of drivers observed wearing seat belts on the previous observation day. Seat belt use among drivers increased from 64% during the baseline phase to 71% during the intervention phase. Seat belt use among front passengers increased from 49% during the baseline phase to 67% during the intervention phase. In both cases, seat belt use at follow-up was comparable to seat belt use during the intervention phase, although a trend toward decreasing belt use was noted. Also found was higher seat belt use among females as compared with males irrespective of their front seat occupant status (driver or passenger). Effects of the intervention are discussed in the context of increasing seat belt use in a hardcore nonuser population of predominantly young adults.

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.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.819
Threshold uncertainty score0.431

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 head0.088
GPT teacher head0.323
Teacher spread0.235 · 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