Severity of single vehicle crashes during holidays
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
This research examined the effects of different contributing factors on the severity of single vehicle crashes occurring during holidays in the years 1999-2008 in Alberta, Canada. Urban and rural crashes were analyzed separately to isolate the location effects. Partially constrained generalized ordered logit models were estimated for each of the specified location types with three possible severity outcomes: property damage only, minor injury and serious injury. The authors' results indicated that time trend and stop/yield signs manifested contrasting effects on urban and rural location crash severity. No restraint use, driver violations and errors, irreparable vehicular damage, involvement of motorcycles, off-road crashes, driver's inebriation and presence of holes/bumps/ruts are some of the important variables that influenced rural crash severity. On the other hand, no restraint use, irreparable vehicular damage, involvement of motorcycles and elderly drivers, drivers being drunk or fatigued, and off-road crashes are some of the important variables that influenced urban crash severity.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| 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