TRAVEL TRAINING FOR OLDER ADULTS: PROMOTING A HEALTHY TRANSITION FROM DRIVING
Bibliographic record
Abstract
contributed to the better understanding of risk factors for crash involvement and the consequences of driving cessation on the quality of life among older adults. However, the development in the research on services and programs to ease the transition to non-driving has been slow, and there is an increasing need for translation research on interventions for older drivers. The goal of this symposium is to bring together established researchers in the field of senior transportation, to discuss promising interventions to promote driving safety as well as mobility among older adults. The five presentations cover the topics of trainings for older adults as well as the physician's role in discussing about driving and screening at-risk older drivers in diverse regional and cultural contexts. Topics of discussion at the symposium include the implications of the research findings on person-centered mobility management of the aging population. Particular attention is paid to exploring effective approaches to coordinating different trainings and practices to provide older drivers and their families with comprehensive service and support.
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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".