A study of driving cessation and its association with satisfaction with life
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
Older drivers are the fastest growing segment of the Canadian driving population and, as a consequence, the numbers who face the experience of stopping driving will continue to rise. A review of the literature reveals that visual, cognitive, psychomotor, medical, demographic, and social factors are associated with driving cessation and the consequences are largely negative. \nA recent cross-sectional study enabled the identification of several predictors of driving \ncessation, an assessment sensitive to the effect of driving cessation on well-being, and factors that can moderate the impact of driving cessation on subjective well-being (Kafka, 2008). The purpose of this study was to conduct a follow-up to Kafka?s (2008) study and further explore psychological variables in relation to driving cessation. We examined life purpose, life control, openness to experience, locus of control, and coping mode in participants who are still driving and those who have stopped to determine if psychological variables differ between these groups. We also examined life outcomes in relation to driving status, and the independent contribution of driving status to life outcomes. Compared to drivers, former drivers had a more external locus of control. Attrition through death, loss of contact, and refusal to participate resulted in a small sample of former drivers which may have obscured relationships in this study. Future research is required to replicate and expand on Kafka?s (2008) results.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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