The Consistency of Definitions of Successful Aging Provided by Older Men: The Manitoba Follow-up Study
Bibliographic record
Abstract
ABSTRACTIn the absence of a universally agreed-upon definition of successful aging, researchers increasingly look to older adults for layperson views of aging and definitions of successful aging. To use lay definitions in studies of aging, however, researchers must address the definitions' consistency. In 2004, surviving members of the Manitoba Follow-up Study male cohort (mean age: 83 years) were asked twice for their definition of successful aging. A consistency category was assigned based on the similarity of themes in each of 654 pairs of definitions. At least half of the main themes were similar in 70 per cent of the definition pairs; 80 per cent of respondents repeated at least one theme. Positive or negative health events in the four-week interval between definitions and specific respondents' characteristics did not vary across consistency categories. This evidence for consistency supports our continued reliance on lay definitions of successful aging.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".