Report Summary - Seniors' Falls in Canada: Second Report: key highlights
Bibliographic record
Abstract
Injury in Canada is a serious public health concern. Injuries are a leading cause of hospitalization for children, young adults and seniors and a major cause of disability and death. Falls remain the leading cause of injury-related hospitalizations among Canadian seniors, and data from the Canadian Community Health Survey - Healthy Aging indicate that 20% of seniors living in the community reported a fall in the previous year, with a higher prevalence among older seniors, i.e., those aged over 80 years. Falls and associated outcomes not only harm the injured individuals but also affect their families, friends and care providers; they also place considerable pressure on the health care system. However, we do know that these personal and economic costs can be avoided through injury prevention activities. The Seniors' Falls in Canada: Second Report provides policy makers, researchers, community programmers and practitioners with current data and trends on falls, injuries and hospitalizations among Canadian adults aged 65 years and over. This report is intended for use in public health research, policy development and practice.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.012 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.003 |
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".