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Record W2145664503 · doi:10.2466/pr0.95.3.757-760

Failure of a Traffic Control “Fatality” Sign to Affect Pedestrians' and Motorists' Behavior

2004· article· en· W2145664503 on OpenAlexaffabout
W. Andrew Harrell, Maria David-Evans, John W. Gartrell

Bibliographic record

VenuePsychological Reports · 2004
Typearticle
Languageen
FieldEngineering
TopicTraffic and Road Safety
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsSign (mathematics)Traffic signPsychologyAffect (linguistics)PedestrianTransport engineeringCase fatality rateIntersection (aeronautics)Poison controlMedical emergencyEnvironmental healthCommunicationMedicineEngineeringMathematicsPopulation

Abstract

fetched live from OpenAlex

The behavior of 643 pedestrians and 1749 motorists at two signal-controlled intersections was observed over a 2-mo. period of observation in March and November. One intersection had a coffin-shaped traffic sign with the wording "Fatality" erected during the first month of observation (March). The second intersection was identical in traffic and pedestrian volume but lacked a "Fatality" sign in either March or November. "Fatality" signs are erected and maintained by the City of Edmonton for 6 mo. whenever a pedestrian death has occurred, and they are intended to raise the awareness of both pedestrians and motorists concerning the risks at dangerous intersections. This sign had been removed for nearly 3 mo. when a follow-up observation was made in November. While female pedestrians and pedestrians over the age of 50 years showed greater caution at both intersections, the presence or absence of the "Fatality" sign had no statistically significant influence on safety. Similarly, the presence or absence of a sign did not significantly influence motorists' behavior. Of motorists 7.6% ran either amber or red traffic control lights at the two intersections. The "Fatality" sign did not affect the rates of these violations.

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 score0.916
Threshold uncertainty score0.577

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 head0.012
GPT teacher head0.267
Teacher spread0.255 · 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

Citations1
Published2004
Admission routes2
Has abstractyes

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