La fécondité légitime dans différents agrosystèmes sociaux en Flandre, 1830-1930
Bibliographic record
Abstract
Les comportements de fécondité des régions rurales ont été perçus comme statiques, conservateurs et uniformes. Cet article analyse les changements et la variation relative de la fécondité légitime de deux agrosystèmes sociaux en Flandre. En nous appuyant sur des données individuelles longitudinales provenant des registres de population, nous analysons le cours de la baisse de la fécondité à partir de deux études de cas. En outre, nous utilisons les estimations de Kaplan Meier pour examiner l’impact sur le comportement de la fécondité légitime de différents facteurs tels que la profession, l’âge au premier mariage, l’expérience de la migration urbaine et la fécondité prénuptiale. Cette analyse démontre que ces facteurs ont une influence variable dans des contextes ruraux différents.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.003 |
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; both teacher heads agree on what is shown here.
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".