Long-term Evaluation of the “Get Fit for Active Living” Program
Bibliographic record
Abstract
This study examined six- and 12-month levels of adherence to physical activity, functional changes, and psychosocial determinants of physical activity in 176 older adults who participated in the "Get Fit for Active Living (GFAL)" pilot program. Functional and psychosocial measures were conducted in person at six months; psychosocial measures and physical activity participation were assessed by telephone interview at 12 months. Ninety-five per cent were retained in the study at the six-month follow-up, and 88 per cent at 12 months. The self-reported adherence rate to exercise at 12 months was 66 per cent. The main reason for continued exercise participation was to maintain health (45%). Reasons for nonadherence were illness (38%) and lack of motivation (32%). Results identify factors associated with positive behaviour change that health promoters can utilize when targeting the older adult population. The GFAL project results can serve as a model for sustainable, community-based older-adult exercise programs.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 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".