IMPAIRED DRIVING AND OTHER TRAFFIC OFFENCES- 2002
Bibliographic record
Abstract
• In 2002, the rate of police-reported impaired driving incidents decreased by 4 % after a slight increase in 2001. This drop is consistent with the general decrease over the last twenty years. The 2002 rate is 65 % lower than the peak in 1981. • The downward trend since 1981 may be attributable to a number of factors, including changing attitudes with respect to impaired driving, aging of the general population, as well as other enforcement procedures used by the police such as roadside suspensions. • Among provinces, the rate of persons charged with impaired driving ranged from 183 per 100,000 persons aged 16 and older in Newfoundland and Labrador to 618 in Saskatchewan. • With the exception of Quebec which reported no change in the rate of persons charged with impaired driving, all provinces and territories reported decreases in 2002. Among provinces, Newfoundland and Labrador had the largest decrease (-19%) followed by New Brunswick (-12%) and Saskatchewan (-11%). • The rate of persons accused of impaired driving offences was highest among young adults between the ages of 19 and 24 and lowest for those 65 and over. • The rate of overall Criminal Code traffic incidents that involved fatalities or bodily harm has generally declined over the past 15 years. • Almost three-quarters (73%) of court cases involving impaired driving resulted in a conviction and of these 14 % were sentenced to custody. 2 Statistics Canada – Catalogue no. 85-002, Vol. 23, no. 9 Ordering and subscription information All prices exclude sales tax This product, Catalogue no. 85-002-XPE, is published as a standard printed publication at a price of CDN $11.00 per issue and CDN $100.00 for a one-year subscription. ISSN 0715-271X The following additional shipping charges apply for delivery outside Canada:
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 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.005 |
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".