Éric PIERRE et Marie-Sylvie DUPONT-BOUCHAT [dir.], Enfance et justice au XIXe siècle. Essais d'histoire comparée de la protection de l'enfance (1820-1914). France, Belgique, Pays-Bas, Canada, Paris, Presses universitaires de France, 2001, 443 p.
Bibliographic record
Abstract
Enfance et justice au XIXe siècle est l'aboutissement d'un projet ambitieux qui se propose d'étudier les prémices et les évolutions des politiques de protection de l'enfance de 1820 à 1914 en France, en Belgique, aux Pays-Bas et au Québec. Plus précisément, il s'agit de faire un panorama et une analyse de celles qui incluent une participation de la justice, que ce soit sous le sceau de la protection ou sous celui de la correction. L'originalité de l'idée réside dans la volonté de faire une ét...
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.008 | 0.004 |
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".