GAIT REHABILITATION PROGRAMS AND AGING: NEW ADVANCES FROM THE CANADIAN GAIT CONSORTIUM
Bibliographic record
Abstract
This symposium will present recent advances in gait rehabilitation (GR) programs in older adults. Gait is the medical term use to describe human bipedal locomotion. Gait impairment leads to unsafe gait and several adverse consequences such as falls. GR is the act of restoring safe gait. It is a key component of preventive, symptomatic and curative interventions of gait impairment. Physical activity and exercises are the main component of GR. Several trials have suggested that physical exercises also protect against cognitive decline. But the question of the best outcome to determine the GR effects remains to determine. Recent advances in the understanding of mechanisms of age-related gait impairment, like interaction between gait and cognition or the key role of vitamin D deficiency, raise the development of innovative and creative GR programs not only based on physical activity. An improvement of physical performance and fall reduction have been reported with vitamin D supplementation. It has also been reported that motor imagery, defined as mentally simulating a given action without actual execution, combined with physical exercises resulted in a more significant improvement of motor performance than physical exercises alone. New GR programs based on merging mental tasks, physical exercises and vitamin D supplementation are developed. In addition, new technology like software on electronic devices playing the role of virtual coach or corresponding to interactive video games has now been used to promote physical activity and change exercise behavior.
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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 | 0.011 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.008 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
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".