The influence of age and physical activity on the control of mediolateral dynamic stability during walking
Bibliographic record
Abstract
Purpose: To understand how ageing and physical activity influences mediolateral stability during gait. Methods: 56 participants were recruited: 28 young adults (YA) and 28 older adults (OA);14 highly active and 14 inactive participants per group. The angle of divergence (θd) and minimum lateral distance (dmin) were calculated. Participants performed three walking conditions (normal, fast and modified tandem walking). Results: Relative to YA, OA exhibited greater dmin across all gait conditions, but exhibited a smaller θd for the right limb and net GRF analyses. There were no differences in dmin or the θd across all gait conditions between physical activity groups. Discussion: Greater stability, as evidenced by a greater dmin, may be a strategy used by OA to maintain stability. Stability was greater on the dominant limb compared to the non-dominant limb. It also suggests that running may not play a role in the control of mediolateral normal gait stability.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".