Fertility, Timing of Births and Socio-economic Status in France and Britain
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Comparison of family growth and the timing of births in France and Britain calls for consideration of the role of family policy and women’s economic conditions in determining their demographic behaviour. The study relies on data from the Longitudinal Study of England and Wales and the Permanent Demographic Sample in France, that link birth registrations to 1971-1991 and 1968-1990 census data, respectively. Over the period studied, the 1970s through the 1990s, in Britain state intervention has been minimal, while France practised a generous family policy. In parallel, social polarization in fertility behaviour was larger in Britain, and differences in fertility between those women who leave the labour force and those who do not were larger still. In France, differences by socio-occupational group are observed only at third births, although by the second birth there is already an association between parity progression and having left the labour force as of the census observation. In France, almost all married women in managerial occupations become mothers, while in Britain one quarter of such women do not. Fertility in Britain is higher at all birth orders among those not in the labour force and in less-skilled occupations, while in France family policy tends to increase third births in those categories too.Comparing women born in the 1950s to those born in the 1960s reveals that the postponement of marriage and fertility, appreciable in both countries, is more marked in France. Among married women, however, changes in fertility have been negligible. All other things being equal, the differences in fertility by socio-occupational group decrease in France, but not in Britain.
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.
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 | 0.000 | 0.000 |
| 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 it