L’adaptation du modèle italique des « jardins » dans la Gaule romaine. Quelques exemples récemment fouillés en France
Bibliographic record
Abstract
Le décor des jardins nichés au cœur des domus gallo-romaines reflète de façon ostentatoire le niveau social de leur occupant et l’intégration des élites locales à la romanité. L’interprétation du mobilier archéologique en pierre issu de ces décors nécessite la prise en compte d’une mise en scène de l’eau dans la domus. Des fouilles ont ainsi permis la découverte de formes exceptionnelles pour la Gaule romaine, comme la grande vasque de Clermont-Ferrand remployée en fontaine à escalier. La sophistication de ces aménagements s’illustre dans la complexité technique des systèmes d’adduction d’eau aussi bien que dans le décor mobilier et architectural de ces jardins, véritables œuvres d’art scénographiées pour le plaisir des habitants, mais aussi de leurs visiteurs.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.024 | 0.003 |
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".