Driving Evaluation Practices of Clinicians Working in the United States and Canada
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVE: To determine off-road and on-road driving evaluation practices of clinicians in the United States and Canada who assess individuals with disabilities for fitness to drive. PARTICIPANTS: Participants were 114 clinician attendees at the 2003 annual Association of Driver Educators for the Disabled with driving assessment experience ranging from 1 month to 25 years. MEASURES: Information was elicited regarding the clinician, clientele, referral practices, and off-road and on-road driving evaluation practices and retraining practices using a self-administered questionnaire. RESULTS: Participants were largely occupational therapists (68%) who worked in 42 different states and provinces. The most prevalent clientele were persons with traumatic brain injury (97%) and stroke (96%). Testing times greater than 60 min were common for both the off-road (61%) and on-road (49%) evaluations. Commonly performed off-road assessments included the Brake Reaction Timer; Trail Making Test, Parts A and B; and the Motor Free Visual Perception Test, used by 73%, 72%, and 66%, respectively; comprehensive computer-based driving evaluation was rare. Sixty-one percent indicated that all clients underwent on-road evaluation regardless of the off-road results. Finally, 78% used a standard driving route, whereas 24% used a scoring system to evaluate on-road driving. CONCLUSION: Driving assessment in Canada and the United States is multidimensional and time-intensive. Although the domains being assessed are similar across clincians, specific off-road and on-road assessment practices vary greatly. The majority use nonstandardized on-road assessments.
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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 | 0.002 | 0.001 |
| 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