THE QUEBEC ALCOHOL IGNITION INTERLOCK PROGRAM: IMPACT ON RECIDIVISM AND CRASHES
Bibliographic record
Abstract
The alcohol ignition interlock program began operating in Qubec in December 1997. Someone convicted of driving while impaired (DWI) is allowed under the program to drive a vehicle on condition it be equipped with an ignition interlock, and the individual's voluntary participation allows for a shortening of the period of licence revocation. This evaluation seeks to measure the program's impact on both DWI recidivism and crashes. The methodology is a cohort study comparing a group comprised of individuals convicted of DWI who took part in the ignition interlock program, and a control group made up of drivers convicted during the same period who did not participate. The data concerning first-time DWI offenders and that pertaining to repeat offenders is presented separately. Participation in the interlock program resulted in a reduction in the repeat DWI rate by 80% during the first 12 months for first-time offenders and by 74% during the first 24 months among repeat offenders. Figures for night crashes involving no more than one vehicle, when compared to overall crash data, also tend to show the effectiveness of the program in lowering the incidence of impaired-driving mishaps. In both cases, however, the effect tends to disappear after removal of the interlock, which leads to the conclusion that it serves more as a restraining device than a tool for driver rehabilitation. This suggests that extending the period of interlock use should be considered, at least for drivers who are likely to become repeat DWI offenders.(A) For the covering abstract of the conference, see ITRD Abstract No. E201067.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".