Sources of Life Strengths as Predictors of Late-Life Mortality and Survivorship
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
The aim of the research was to determine within a single study the extent to which demographic factors, self-rated-health and psychosocial factors present the strongest risks or benefits to older adults' mortality in the course of a 5.9-year longitudinal follow-up. The initial sample of 732 individuals was drawn randomly from the registry listings of four municipal branch offices of the Social Services and Community Associations for seniors in Southern Alberta. The final recruitment of 380 participants was based on a representative sample of elders who volunteered participation. A three-part Cox regression analyses model of predictor variables, controlling for age and subsequently controlling for self-rated health and self-rated physical functioning, was implemented to study gender differences in a number of socio-demographic and psychosocial factors, including individuals' sources of internal strengths. As hypothesized, individuals' sources of internal strengths (i.e., Perceptions of Self -Efficacy, Internal Control, Personal Maturity, Personal Commitments, and Social Engagement) are central to the prediction of mortality of both men and women. For men lower education and low levels of perceived internal control, personal commitment, and physical functioning are associated with the greatest threat to mortality but these factors are largely inconsequential for women's survival. By contrast, low levels of perceived social support and social engagement present the greatest risk to women's mortality. Implications of the findings are discussed with respect to factors that contribute to late-life longevity.
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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 | 0.001 | 0.000 |
| 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