Cognitive Performance, Driving Behavior, and Attitudes over Time in Older Adults
Bibliographic record
Abstract
RÉSUMÉ Nous avons théorisé que les changements au fil du temps dans les performances cognitives sont associés à des changements dans les perceptions, les attitudes et les comportements d’auto-régulation des personnes âgées qui conduisent. Les adultes âgés en bonne santé (n = 928) ont subi les évaluations cognitives au début avec deux suivis annuels subséquents, et ils ont rempli des formulaires avec des échelles qui mesurent leurs perceptions, les attitudes et les comportements de conduite. L’analyse multivariée montre des petites relations, mais statistiquement significatives, entre les tests cognitifs et les mesures qui ont été auto-déclarée, les plus grandes amplitudes entre les scores étant sur les sentiers B tâche cognitive (secondes), la perception de la capacité de conduire (β = 0,32), et l’évasion des situations de conduite (β = 0,55) (p <0,05). Selon cette analyse exploratoire, le ralentissement cognitif et le dysfonctionnement exécutif semblent être associés aux capacités à conduire perçues d'être modestement inférieurs et à l’évitement accru des situations de conduite au fil du temps.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".