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Record W618258159

ALCOHOL IGNITION INTERLOCK: ONE YEARS EXPERIENCE IN QUEBEC

2000· article· en· W618258159 on OpenAlexaboutno aff
Christian Dussault, Michel Gendreau

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
KeywordsInterlockConvictionLicenseSuspension (topology)Operations managementEngineeringBusinessEnvironmental healthForensic engineeringTransport engineeringAeronauticsMedicineLawPolitical scienceMathematics
DOInot available

Abstract

fetched live from OpenAlex

Since December 1997, an alcohol ignition interlock program has been in place in Quebec. Working on a voluntary basis, the program operates on a user-pay rental scheme with an installation fee of C$150 plus C$87.50 per month. The incentive to participate in the program is a 9-month reduction of the license suspension for a first DWI offence (3-month suspension plus 9 months on interlock instead of 1-year suspension) and, until July 1999, an 18-month reduction for a second DWI offence (6-month suspension plus 18 months on interlock instead of 2-year suspension). During the first year of implementation, 4,160 drivers had obtained a restricted license (must drive with an interlock). On average, these 4,160 drivers stayed 223.4 days on the program between December 1, 1997 and May 31, 1999 (772 restricted licenses obtained before December 1998 were still active on May 31, 1999). A simple before-during-after comparison of traffic convictions, DWI convictions, casualty crashes and property damage only (PDO) crashes per 10,000 days of exposure was performed. Preliminary results indicate a very low DWI re-conviction rate and a large decrease in crashes for both during and after periods. Despite more formal evaluation needed, preliminary results clearly suggest that it is worth continuing the program. 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), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.918
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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.056
GPT teacher head0.247
Teacher spread0.191 · 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

Citations3
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