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Record W612252541

Trends in drinking-driving fatalities in canada - progress continues

2000· article· en· W612252541 on OpenAlexaboutno aff
Dillon Mayhew, D J Beirness, H M Simpson

Bibliographic record

VenueProceedings International Council on Alcohol, Drugs and Traffic Safety Conference · 2000
Typearticle
Languageen
FieldEngineering
TopicTraffic and Road Safety
Canadian institutionsnot available
Fundersnot available
KeywordsCrashDemographyGeographyIncidence (geometry)Environmental healthDemographic economicsSocioeconomicsMedicineEconomicsSociologyMathematics
DOInot available

Abstract

fetched live from OpenAlex

The scope and intensity of activity directed at the problem of drinking and driving was unprecedented in Canada during the 1980s. Public and political concern engendered a wide range of initiatives and, consistent with this activity, corresponding declines in the magnitude of the problem itself occurred. Between 1981 and 1989, the percent of fatally injured drivers with blood alcohol concentrations (BACs) in excess of the legal limit dropped by 31%. The decline observed in the 1980s was interrupted rather abruptly and significantly beginning in the 1990s when the percent of fatally injured drivers who were drinking increased. Since 1993, however, there has been a further decline in the incidence of fatally injured impaired drivers that has continued through 1997. The level achieved in 1997 (31% of fatally injured drivers with BACs over the legal limit) was the lowest point reached in the past three decades. Recent changes in the magnitude of the alcohol-fatal crash problem, however, have not been uniform across different groups of fatally injured drivers. This paper examines these trends in the alcohol-fatal crash problem in Canada. For the covering abstract see ITRD E106992.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.887
Threshold uncertainty score1.000

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 head0.025
GPT teacher head0.219
Teacher spread0.193 · 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.

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

Citations6
Published2000
Admission routes1
Has abstractyes

Explore more

Same venueProceedings International Council on Alcohol, Drugs and Traffic Safety ConferenceSame topicTraffic and Road SafetyFrench-language works237,207