Clinical Research on Older Adults in Canada: Summary of Recent Progress
Bibliographic record
Abstract
Abstract Geriatric Medicine is a young specialty in Canada, having been formally recognized in 1981. The early years of research chiefly involved designing and describing programs of care. As the specialty matured, so too did the nature of research into the clinical problems of older adults. This article discusses research published by Canadian geriatricians since 1998, the date of a previous review. Two prominent areas of research are frailty and dementia. Several groups have studied the natural history of frailty, and designed techniques to better measure outcomes. Interventional trials are also gaining prominence, with the Systeme de services intégrés pour personnes agees en perte d'automonie (SIPA) and Mobile Geriatric Assessment Team (MGAT) being good examples. The Canadian Study of Health and Aging (CSHA) is one of the largest studies of dementia epidemiology ever conducted, and the upcoming third wave will provide new data on the outcomes of cognitive impairment not meeting criteria for dementia. Other areas of interest include pharmacoepidemiology, difficult clinical problems, advanced directives and bioethics. Canadian research in geriatrics will continue to develop, with the establishment of the Canadian Institutes of Health Research providing exciting new opportunities.
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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 | 0.027 | 0.032 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.020 | 0.044 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".