Les arrêts criminels et leurs enjeux sur l'opinion publique à Paris au XVIIIe siècle
Bibliographic record
Abstract
Les arrêts criminels prononcés par le Parlement de Paris connurent au cours du XVIIIe siècle, à l’instar des mémoires judiciaires étudiés par Sarah Maza, une diffusion par l’impression lui permettant de circuler, par la main des colporteurs ou par la voix du greffier durant une exécution, à travers l’espace public de la capitale. À partir de l’affaire judiciaire de l’empoisonneur Antoine-François Derues, cet article entend montrer l’évolution – parallèle à celle notée par Maza pour les mémoires judiciaires – de la structure narrative de ces petits textes de droit publiés par ordre du Parlement: bien plus qu’un formulaire légal stéréotypé, les arrêts développèrent une stratégie rhétorique capable de fédérer l’opinion parisienne, alors particulièrement sensible aux scandales judiciaires, en faveur de la justice du roi, par une construction narrative légitimant la décision des magistrats.
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.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.001 | 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".