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
According to the data and documents on rural road accidents from US, Canada,UK and Australia,the causes of rural road accidents were analyzed with emphasis on human behavior.Several causes were collected as follows:(1) much lower rate of seat belt usage among males,youths,passengers in light trucks and rear seat occupants;(2) more speeding trend among males and youths with high rate in motorcycles and cars on the weekend and during the night;(3) main drunk drivers are males and youths,and more accidents due to drinking happened on the weekend and during the night;(4) more fatigued drivers are females and youths, and lots of crashes caused by driving fatigue happened on the weekend and during the night and afternoon;(5) the large percentage of fatally injured drivers are 65 years of age or older who usually fails to yield row and disobey traffic control;(6)the hazards of rural road include sudden varieties,narrow lanes, sharp curves, blind bends and so on;and(7) the emergency medical services for rural road crashes are time-consuming,lower level treating and poorly effective.
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