ASSESSMENT OF PHYSICAL MOBILITY AND USAGE OF ASSISTIVE DEVICES IN INSTITUTIONALIZED ELDERLY POPULATION.
Bibliographic record
Abstract
Introduction: -Many individuals need a mobility Assistive device as they age. When it is used to assist in functional performance of activities, improve better quality of life, Reduce risk of fall, prevent injuries, improve balance and gait pattern during the ageing .hence purpose of our study is to assess usage of assistive devices in an institutionalised elderly. Physical Methods:- mobility scale and Self-made questionnaire were used by direct interview method on 60 institutionalized elderly population to assess usages as well as various factors affecting it . In our study 25% of institutionalized elderly people are havi Results: - ng Assistive devices & 75% people are not having assistive devices. 78% people are Highly independent while 10% people are with mild Physical activity level . The Conclusion: - usage of assistive devices are extremely less and amount of physical mobility is higher in our study.
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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 | 0.003 | 0.000 |
| 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 | 0.001 |
| 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 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".