Trends of the Delay and Variance of Childbirth Timing by Completed Number of Children
Bibliographic record
Abstract
The timing of childbirth has undergone significant changes in the past decades. However, it may not be feasible for individuals with many children to further delay the timing of each childbirth given the biological constraints on fecundability and social age deadline for childbirth. Thus, the delay in having children and the increasing heterogeneity in its timing may present different trends when analyzed retrospectively by completed number of children. This study investigates the age at childbirth by birth order among women age 40+ in 17 European countries and Canada based on the number of children they have. Our findings show that individuals having more children tend to have each child at earlier ages, with less variation in timing, compared to the counterparts with fewer children. This suggests that changes in the timing of childbirth are more pronounced among individuals having fewer children and less so among those with having more children.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".