Loss and recovery of independence among seniors.
Bibliographic record
Abstract
OBJECTIVES: This article identifies risk factors associated with the loss and recovery of independence among the household population aged 65 or older. DATA SOURCES: The data are from the longitudinal component of the first two cycles (1994/95 and 1996/97) of Statistics Canada's National Population Health Survey (NPHS). Supplementary information is from the cross-sectional component of the 1998/99 NPHS. ANALYTICAL TECHNIQUES: Cross-tabulations were used to estimate the proportions of seniors who lost or regained independence between 1994/95 and 1996/97. Logistic regression models were used to explore associations between loss or recovery of independence and demographic, behavioural and socioeconomic variables, as well as chronic conditions. MAIN RESULTS: Age, sex and the effects of stroke were significantly related to the loss and recovery of independence among seniors. Bronchitis/emphysema, diabetes, heart disease, weight, physical activity, education and household income were associated with the loss of independence, but not its recovery. Dependent seniors with back problems, urinary incontinence, or who smoked had low odds of regaining independence.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".