Family Composition, Birth Order and Marriage Patterns: Evidence from Rural Alsace, 1750-1885
Bibliographic record
Abstract
Résumé Pour les jeunes gens qui grandissaient dans les villages de l’Europe des xviii e et xix e siècles, la possibilité d’accéder au mariage n’était nullement une évidence. Une proportion significative ne se mariait jamais et, au cours du xix e siècle, ils furent de plus en plus nombreux à quitter leur terroir pour tenter de se construire une vie ailleurs. Cet article examine les déterminants de l’accès au mariage dans quatre villages d’Alsace entre 1750 et 1885, en prêtant une attention particulière au rang de naissance et au nombre de frères et sœurs survivants. Les résultats indiquent que les enfants premiers-nés et ceux avec peu de germains du même sexe survivants avaient les plus fortes chances de se marier dans leur village de résidence, et qu’ils tendaient à le faire à un âge plus jeune.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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".