Dieux et lieux de la Méditerranée antique : des outils numériques pour l’histoire des religions
Bibliographic record
Abstract
L’article présente plusieurs outils numériques du projet ERC MAP (Mapping Ancient Polytheisms), qui traite d’histoire des religions dans la Méditerranée antique. Ce projet s’est saisi de systèmes de gestion de base de données (SGBD), de webmapping et d’outils de formalisation, afin de pouvoir traiter une documentation conséquente mais disparate, à l’étendue chronogéographique inédite pour le sujet. L’article met l’accent sur les choix et les étapes de la mise en œuvre des outils, qui répondent aux critères des données FAIR. L’idée est de mettre en lumière un exemple concret de projet scientifique pluridisciplinaire, à la croisée de l’histoire et des pratiques numériques.
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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 | 0.007 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 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".