Les notaires au châtelet de Paris face à la procédure d’inscription en faux de leurs actes (XVIIe-XVIIIe siècles)
Bibliographic record
Abstract
Les fonds judiciaires de la Section ancienne des Archives nationales nous ont conservé quelques affaires d’inscription en faux d’actes de notaires de Paris. Les actes en question sont datés de 1603 à 1787. L’article se propose d’examiner l’aspect matériel sous lequel se présente ces documents, conservés dans des petits sacs de jute, de déterminer ce que les caractéristiques matérielles et intellectuelles communes à ce petit corpus nous permettent d’inférer quant aux affaires et aux procédures qu’elles suivent. Enfin, il est intéressant d’étudier l’attitude prudente quoique combattive adoptée par la compagnie des notaires du Châtelet face à ces affaires d’inscription en faux qui remettent en cause les fondements mêmes de la profession et dans lesquelles le degré d’implication de ses membres est variable.
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 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.012 | 0.013 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".