Informal Social Support Networks and the Maintenance of Voluntary Driving Cessation By Older Rural Women
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
Seventy-five rural women over the age of 77 participated in this study to describe the impact of informal social support on the maintenance of voluntary driving cessation. After being screened for mental status, they completed a demographic questionnaire and the Lubben Social Network Scale (2006) Lubben, J. E. 2006. “Assessing social networks among elderly populations.”. In Handbook of geriatric assessment, 4th ed. Edited by: Gallo, J. J., Bogner, H. R., Fulmer, T. and Paveza, G. J. 245Sudbury, MA: Jones and Bartlett. [Google Scholar]. They also participated in a semistructured interview designed to probe factors leading to driving cessation and the ability to maintain it. Findings suggest that most participants stopped driving due to a decline in physical function and/or involvement in a nonfatal accident. Adequate support from family and friends was critical to the maintenance of driving cessation. Those with a limited informal social network resumed driving due to the lack of transportation, feelings of insecurity and fear for their survival, and the desire to assist friends who were less fortunate. Implications for community health nurses working in rural areas are discussed.
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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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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