Bibliographic record
Abstract
Biological age acceleration predicts multiple "diseases of aging." Objective and subjective social statuses have both been prospectively linked to this outcome. An established chain-of-risk framework suggests that "effects" of each may be mediated by one's subsequent structural position. A separate deaths-of-despair literature identifies a person's sense of futility as another potential link. Such chains remain underexplored. The current study used data from three waves (2008-2016) of the Health and Retirement Study (HRS) to fill these gaps. The analysis was done through a counterfactual regression-with-residuals (RWR) approach. Asimulated decline in a person's objective but not subjective status predicted their age acceleration 8 years later. Contrary to chain-of-risk conceptions, intermediate social standing did not channel effects. Neither did despair. Findings were more consistent with a direct "material shocks" explanation for status-aging linkages than an indirect or psychosocial one. Implications for aging theory and for interventions are discussed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 | 0.001 | 0.001 |
| 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 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".