<i>Vivre sans ma voiture</i>: une intervention pour soutenir les Canadiens-francophones âgés
Bibliographic record
Abstract
The cessation of driving is a difficult transition for the elderly, but it can be facilitated through interventions. The purpose of this study was to explore the satisfaction, usefulness and applicability of the CarFreeMe intervention in the French-Canadian context. A qualitative clinical research device was used on ten older adults aged between 61 and 90 years. The participants had stopped driving within the last twelve months or were planning to stop driving in the near future and did not have cognitive impairments. After the intervention, the participants were generally satisfied and reported on its usefulness and applicability in a French-Canadian context. In addition, they identified the positive impacts related to their social involvement as they re-engaged in or pursued their significant activities. Further research is required to assess the intervention's effects and the practicability of implementing it in Canada.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".