Nonmarital Fertility in Europe and North-America: What Is the Role of Parental SES and Own SES?
Bibliographic record
Abstract
Abstract Previous research has shown that parental as well as own socio-economic status (SES) influence nonmarital fertility. This chapter examines to what extent the effect of parental SES on partner status at first birth is mediated through own SES. Data from the Generations and Gender Survey, British Understanding Society Survey, Dutch Survey on Family Formation, American National Survey on Family Growth, and Canadian General Social Survey are used to examine 16 national contexts. In the majority of countries, the effect of parental SES on the likelihood of having a first birth in cohabitation and in marriage is partly explained by the intergenerational transmission of SES. A direct effect of parental SES is found in Canada, USA, Norway, Bulgaria, Estonia, Georgia, and Romania. The effect of parental SES on the likelihood of having a first birth while being single and in marriage is partly explained by the intergenerational transmission of SES. In the USA, Austria, and Norway, a direct effect of parental SES was also found. The results suggest that in addition to the intergenerational transmission of SES, differences in family aid may influence the transition to adulthood. It is also possible that parental SES influences the motivation and ability to prevent pregnancies.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".