Bibliographic record
Abstract
Dès la fin du 17 e siècle, le marché aux chevaux de Paris connaît une criminalité importante. En 1758, le lieutenant de police Bertin place au marché une équipe de surveillance dirigée par l’inspecteur Guillotte. En 1762, de Sartine instaure de nouveaux outils pour contrer les fraudes et les vols. Grâce à ces efforts, la police du Châtelet s’assure de contenir le mécontentement des usagers en leur donnant accès à des intermédiaires capables de les soutenir dans leurs infortunes. Cet article entend démontrer que les rapports entre le peuple du marché aux chevaux et sa police ne se limitent ni à la soumission ni à la résistance. L’inspecteur développe des relations collaboratives avec les marchands de chevaux, permettant une meilleure gestion de ce commerce essentiel à la capitale.
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 | 0.000 | 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 | 0.009 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 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; both teacher heads agree on what is shown here.
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".