The first French fall prevention day for elderly people
Bibliographic record
Abstract
The First French Fall Prevention Day for Elderly People took place in Montpellier on October 1, 2024. This event highlighted the elderly people's interest in: i) public conference providing information on fall risk factors and general preventive measures; ii) workshops across the metropolitan area offering individual fall risk assessments, personalized advice based on identified risk levels and factors. It also highlighted healthcare professionals and training institutes interest in: i) information on the roles of various field actors in the care pathway for older individuals at moderate or high fall risk; ii) new organizational models and technologies developed to implement national and global fall prevention recommendations. This inaugural event will lead to the creation of a fall and fracture prevention group within the French Society of Geriatrics and Gerontology, establishing a specific connection with the European Geriatric Medicine Society Falls and Fracture Prevention Group, whose missions will be: i) the development of training and informational materials to support the implementation of the world recommendations and the French fall prevention plan; and ii) the support an organization of an annual National Fall Prevention Day throughout France by the National Academy of Medicine and Regional Health Agencies.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.036 | 0.007 |
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".