Bibliographic record
Abstract
Demographic changes affect the time that individuals spend in different family roles. Mortality decline increases the time an individual can spend as a grandparent, but childlessness decreases the proportion of people who ever become grandparents, and fertility postponement delays when grandparenthood begins. This article examines changes in the length of grandparenthood at the population level and why it has changed in Canada over a 26‐year period. Using the Sullivan method, years spent as a grandparent are estimated by sex for 1985 and 2011. Results show that grandparenthood is coming significantly later to Canadians, in small part due to increased childlessness and in large part to fertility postponement of respondents and their children. The average length of grandparenthood decreased among women from 24.7 to 24.3 years but increased among men from 17.0 to 18.9 years. The changing timing and length of grandparenthood have implications for multigenerational relationships and intergenerational 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".