Bibliographic record
Abstract
The good article on vehicle design and safety mentioned various innovations in the continuing effort to reduce traffic deaths. The best solution, of course, is one that prevents accidents rather than just reduces the severity of injuries. One contributing factor to the better Canadian statistics shown in the article’s figure 2 is the mandatory use of daytime running lights in Canada. For 20 years or more, headlights that turn on with the ignition have been required on all new cars sold in Canada, wherever they were made. In daylight they operate at a low power; in twilight or darkness they switch to full power. They greatly improve the visibility of approaching cars in dim light or poor weather, and they were generally credited with a reduction of 10% to 15% in the frequency of collisions when they were introduced. My car is six years old and I have never turned the lights on or off and don’t know how it could be done. I switch between high and low beams at night, but the automatic controls handle everything else. They even brighten the lights if I enter a tunnel for more than a few seconds.© 2006 American Institute of Physics.
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 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".