Antoine Follain, Gilbert Larguier (dir.), L’impôt des campagnes, fragile fondement de l’État dit moderne. XVe-XVIIIe siècle
Bibliographic record
Abstract
Après avoir publié, en 2003, L’argent des campagnes. Échanges, monnaie, crédit dans la France rurale d’Ancien Régime, qui intéressait en majeure partie le XVIIIe siècle, voici chez le même éditeur et avec la même qualité les actes d’un autre colloque sur la taille royale dans les villages. L’ouvrage est composé d’un rapport des deux maîtres d’œuvre, remarquable par sa précision et les pistes qu’il ouvre, centré sur le XVIIe siècle, et de treize communications dont quatre portent en partie ou ...
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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 | 0.001 | 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 | 0.004 | 0.006 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".