37: Bicycle-Related Injuries Among Children and Young Adults in the Province of Quebec from 2007 to 2012
Bibliographic record
Abstract
Unintentional trauma is the principal cause of death in the population under 20 years of age. Between 2000 and 2002, for this age group, the province of Quebec had a death rate almost twice that of Canada, and almost 10 times that of France. The objective of this study is to describe the epidemiology of injuries and deaths following cycling accidents in the province of Quebec for people aged 24 and under between 2007 to 2012. The road trauma registry of the Société d'assurance automobile du Québec concerning cycling accidents in the province from 2007 to 2012 was used to determine the frequency (rate per 100 000 person-year) of injuries and deaths for three groups: 0 to 15 years old, 16 to 24 years old and 25 years old and older. The data were evaluated for the province, for the different administrative regions and for the eight largest cities. The incidences were compared with the provincial incidence for the total population. The circumstances surrounding the accidents were also evaluated. From 2007 to 2012, the incidence of injuries and deaths decreased from 31.9 (OR 1.26 [95% CI 1.21 to 1.35]) to 24.2 (OR 0.90 [95% CI 0.86 to 0.94]). The 16-24 years old group presented the highest frequency (55.4 [OR 2.45 (95% CI 2.35 to 2.55)]), while the 25 years old and older presented the lowest one (20.3 [OR 0.49 (95% CI 0.47 to 0.51)]). Only the drop in frequency for the 0-15 years old was significant (47.0 [OR 1.82 (95% CI 1.68 to 1.97)]) to 20.7 [OR 0.78 (95% CI 0.69 to 0.88)]). Important discrepancy between regions and city in the province were noted. The incidence of injuries and deaths following a cycling accident have decreased significantly from 2007 to 2012 in the province, most importantly for 0-15 years age group. Cyclist aged between 16 and 24, and those living in larger cities had significantly higher incidence. The results obtained will help target prevention campaigns for the different age groups, regions and cities of the province of Quebec.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".