FACTORS ASSOCIATED WITH REMAINING FREE FROM FUNCTIONAL LIMITATIONS DESPITE SOCIOECONOMIC ADVERSITY
Bibliographic record
Abstract
This study aimed to identify factors that protect individuals exposed to lifelong socioeconomic adversity from developing functional limitations in old age. Data from 1,973 participants in the MRC National Survey of Health and Development (United Kingdom) were used. Functional Limitations was defined as experiencing difficulty with any daily activity. Socioeconomic adversity had three levels based on life course trajectories. We compared psychosocial factors and health-related behaviours between a “resilient” group (high adversity but no functional limitations) and five groups with other combinations of adversity and limitations. Compared to other individuals with high adversity, resilient individuals had higher adolescent self-management, a lower likelihood of smoking, obesity, and childhood illness, and were more often physically active. Marital status and contact frequency were not associated with resilience. Results suggest that a combination of psychological and behavioural characteristics across life is required to be physically resilient in the face of socioeconomic adversity.
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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 | 0.003 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".