Quality of Life of Older Adults in Canada and Brazil
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In this study, we examined the factors contributing to quality of life (QOL) of older adults in regions of Canada and Brazil. The WHOQOL-BREF and a demographic data sheet were administered to random samples of 202 older adults from Canada and 288 from Brazil. Ratings on overall QOL and on the physical, psychological, and environmental domains were higher in the Canadian sample. Social domain scores were not significantly different. The authors found the same pattern of factors (health satisfaction, enough money, meaning in life, and opportunities for leisure activities) contributed to the variance of QOL in both countries, except for physical environment, which was significant in Brazil and not in Canada. Health satisfaction was the strongest contributor to QOL in both samples, and satisfaction with personal relationships was not significant in either country.
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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 | 0.008 | 0.001 |
| 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 | 0.000 |
| 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 it