Fear of falling and risk factors in older adults
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Fear of falling is becoming the most common fear among people aged 65 and over,with a prevalence that varies within the range of 12% to 92% [1]. Monitoring the elderly's physical activity is highly recommended in order to improve their health. Several reports have demonstrated that a fall does not always result in a fear of falling, which may be caused by factors other than the fall itself[2][3]. Falls, on the other hand, and fear of falling share one feature: they are both associated with walking disorders. Falls are considered a significant risk that primarily affects the elderly. Slowness of movement, loss of motion, and balance issues are common in the elderly. In this article, we have proposed an intelligent insole system to detect falls, monitor patients’ physiological parameters, and reduce their fear of falling. Thus, the elderly will be surrounded in real time by professional clinicians working remotely to control them during their daily activities.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.000 | 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 it