Bibliographic record
Abstract
OBJECTIVES: To examine the relationship between falls history, especially those with frequent recent falls, and future injurious falls. METHOD: Resident Assessment Instrument for Home Care records of 167,162 home care recipients in Ontario, Canada, were linked to emergency department records recording an injurious fall. Diagnosis codes further informed the nature of the injuries. RESULTS: Persons with a high number of recent falls tended to be younger, and more likely to have Parkinson's or multiple sclerosis. Odds ratios for a future injurious fall, compared with zero recent falls, were as follows: 1.58 (1 fall), 1.91 (2 or 3 falls), 2.54 (4-8 falls), 3.07 (9 or more falls). Injuries among those with multiple recent falls were more likely to be head injuries with an open wound. DISCUSSION: Persons reporting high number of recent falls were at the greatest risk of a future injurious fall and should receive the greatest attention in care planning.
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.
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 | 0.002 | 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".