Healthy Grandparenthood: How Long Is It, and How Has It Changed?
Bibliographic record
Abstract
Healthy grandparenthood represents the period of overlap during which grandparents and grandchildren can build relationships, and grandparents can make intergenerational transfers to younger kin. The health of grandparents has important implications for upward and downward intergenerational transfers within kinship networks in aging societies. Although the length of grandparenthood is determined by fertility and mortality patterns, the amount of time spent as a healthy grandparent is also affected by morbidity. In this study, we estimate the length of healthy grandparenthood for the first time. Using U.S. and Canadian data, we examine changes in the length of healthy grandparenthood during years when grandparenthood was postponed, health improved, and mortality declined. We also examine variation in healthy grandparenthood by education and race/ethnicity within the United States. Our findings show that the period of healthy grandparenthood is becoming longer because of improvements in health and mortality, which more than offset delays in grandparenthood. Important variation exists within the United States by race/ethnicity and education, which has important implications for family relationships and transfers.
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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 | 0.003 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".