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
Graduated driver licensing tries to reduce the traffic accident risk of adolescent drivers by limiting novice drivers' exposure to risky conditions and by providing the novices with increased opportunities to practice under supervision. Over the past twenty years some version of graduated driver licensing has been implemented in the United States and Canada. Research shows that these programs are effective in reducing traffic accidents that involve young drivers. However, the young drivers are still crashing at a higher rate than mature drivers. This report discusses the results of two studies in an attempt to understand and address the reasons why teen drivers continue to crash, even under graduated licensing provisions. Three issues are targeted: (1) The possibility that only some of the graduated driver licensing provisions are effective, or only effective in certain combinations, or that graduated licensing is just too weak, overall; (2) The effectiveness of graduated licensing is eroded because compliance with the conditions and terms is weak; (3) Graduated licensing can only have a limited impact because many adolescent drivers have traffic accidents under conditions that are not addressed by graduated licensing.
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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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