Les juristes en réaction contre le désordre conjugal des masses : la « crise du mariage » en débat (1900–1940)
Bibliographic record
Abstract
From the early twentieth century to the Second World War, marriage in France underwent significant changes that were accompanied by a general reflection on what was described as a marriage crisis. We look at how the debate was structured, within the legal community, around ways to counteract this crisis. This debate tended to be split between two positions: “reactionary” and “progressive”. Some writers expressed the desire for a rollback of legislation; others thought the law should evolve to allow for the fact that society was not unchanging. This division cut across opposing viewpoints on the relationship between law and morals. We analyze the role of factors outside the law by examining three levels of argumentation: that surrounding morality and religion; that invoking the lessons of the humanities and social sciences; and the level that, ultimately, played on social fears.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.015 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".