Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Introduction Motor vehicle accidents are a significant cause of morbidity and mortality. Safe driving behavior constitutes proper use of seat belts as a driver and as a passenger. The correct use of seat belts has been shown to reduce death and injury following motor vehicle accidents by more than 50%. This study aims at investigating seat belt use and driving habits among Canadians. Method A population-based database from the Canadian Community Health Survey was analyzed. Result About 12% reported that they use seat belts most of the times, rarely or never and 27% of respondents were using cellphone while driving often or sometimes; 8% of respondents admitted to driving after 2 or more alcoholic drinks. Seat belt use in taxi passengers is much lower than in own cars, with 40% not using a seatbelt all of the time when in a taxi. Discussion and conclusions The major risk factors for not wearing seat belt as a passenger include age, education, ethnicity and income.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it